\nYour career is an investment that grows over time!\n\n\nWealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing, opaque and expensive and make them transparent and low-cost for everyone. We’re the largest fintech company in Canada, with over 3 million users who trust us with more than $30 billion in assets.\n\n\nOur teams ship often and make an impact with groundbreaking ideas. We're looking for talented people who keep it simple and value collaboration and humility as we continue to create inclusive and high-performing teams where people can be inspired to do their best work.\n\n\nAbout the team\n\n\nThe Risk Data Science & Engineering team consists of data scientists and analytics developers with diverse experiences and educational backgrounds. The team is responsible for delivering high-quality measurement tools and predictive analytics to support data-driven decision making across all risk stripes. The team is staffed with seasoned data and modeling experts and is well-supported by product managers, software developers, and risk strategists.\n\n\nWe are hiring for an Analytics Developer in the Market Risk DSE team. In this role you will be responsible for building robust, efficient and integrated data models that enable our risk analytics and machine learning. These data models will serve as the foundation of our risk strategies, allowing the team to monitor and detect risk trends, build both traditional and machine learning models, and launch new financial products. As an Analytics Developer, you will be leading the charge against metric definition and providing risk strategy inputs. A successful Analytics Developer is able to blend business acumen and software engineering best practices while effectively communicating with stakeholders.\n\n\n\nIn this role, you will have the opportunity to:\n* Build data models in the cloud data warehouse that will be used as the source of truth for analytics and machine learning;\n* Develop comprehensive reports and dashboards to support data-driven decision making;\n* Implement and maintain robust data controls to ensure data integrity and accuracy;\n* Apply software engineering best practices like version control and continuous integration to the analytics code base;\n* Ideate and implement new models and analytics;\n* Translate business requirements into data models that will help stakeholders answer key business questions;\n* Ensure models are well tested, documented and maintained;\n* Believe that simple is better, Occam's razor is your friend;\n* Take ownership and ship it; release incrementally and iteratively;\n* Teach and learn from your teammates. We value making others successful!\n\n\n\nSkills we are looking for:\n* Strong technical skills in manipulating large data sets with complex SQL and Python;\n* Keen interest in financial markets;\n* Experience with market data, market risk models, trading risk management, or trading operations would be an asset;\n* Experience with dbt;\n* Expertise in data visualization. Experience with data visualization tools on the cloud (e.g. Apache Superset / Quicksight) is a plus;\n* Comfortable with software engineering best practices like version control and using Git;\n* Experience with cloud data warehousing (e.g. Snowflake, Bigquery, Redshift);\n* Proficient understanding of data warehousing methodologies and concepts (Kimball, Inmon, etc);\n* Excellent communication skills in order to translate business requirements into data models and maintain clear documentation;\n* Able to build and maintain multi-functional relationships with various teams across the business;\n* Experience with graph databases is a plus;\n\n\n\n\n\nWhy Wealthsimple?\n🤑 Competitive Salary with top-tier health benefits and life insurance\n📈 Retirement savings matching plan using Wealthsimple Work\n🌴 20 vacation days per year and unlimited sick and mental health days\n📚 Up to $1500 per year towards wellness and professional development budgets respectively \n🛫 90 days away program: Employees can work internationally in eligible countries for up to 90 days per calendar year \n🌎 A wide variety of peer and company-led Employee Resource Groups (ie. Rainbow, Women of Wealthsimple, Black @ WS) \n💖 Company-wide wellness days off scheduled throughout the year\n\n\nWe’re a remote-first team, with over 1000 employees coast to coast in North America. Be a part of our Canadian success story and help shape the financial future of millions — join us!\n\n\nRead our Culture Manual and learn more about how we work.\n\n\nDEI Statement\nAt Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. \n\n\nAccessibility Statement\nWealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know, and we will work with you to provide the necessary support and make reasonable accommodations to facilitate your participation. We are continuously working to improve our accessibility practices and welcome any feedback or suggestions on how we can better accommodate candidates with accessibility needs. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud and Cloud jobs that are similar:\n\n $45,000 — $80,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nCanada

\nVerana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation – JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings. \n\nExisting Verana Health investors GV (formerly Google Ventures), Casdin Capital, and Brook Byers also joined the round, as well as notable new investors, including the Merck Global Health Innovation Fund, THVC, and Breyer Capital.\n\nWe are driven to create quality real-world data in ophthalmology, neurology and urology to accelerate quality insights across the drug lifecycle and within medical practices. Additionally, we are driven to advance the quality of care and quality of life for patients. DRIVE defines our internal purpose and is the galvanizing force that helps ground us in a shared corporate culture. DRIVE is: Diversity, Responsibility, Integrity, Voice-of-Customer and End-Results. Click here to read more about our culture and values. \n\n Our headquarters are located in San Francisco and we have additional offices in Knoxville, TN and New York City with employees working remotely in AZ, CA, CO, CT, FL, GA, IL, LA, MA, NC, NJ, NY, OH, OR, PA, TN, TX, UT , VA, WA, WI. All employees are required to have permanent residency in one of these states. Candidates who are willing to relocate are also encouraged to apply. \n\nJob Title: Data Engineer\n\nJob Intro:\n\nAs a Data/Software Engineer at Verana Health, you will be responsible for extending a set of tools used for data pipeline development.  You will have strong hands-on experience in design & development of cloud services.  Deep understanding of data quality metadata management, data ingestion, and curation.  Generate software solutions using Apache Spark, Hive, Presto, and other big data frameworks.  Analyzing the systems and requirements to provide the best technical solutions with regard to flexibility, scalability, and reliability of underlying architecture.  Document and improve software testing and release processes across the entire data team.\n\nJob Duties and Responsibilities:\n\n\nArchitect, implement, and maintain scalable data architectures to meet data processing and analytics requirements utilizing AWS and Databricks\n\nAbility to troubleshoot complex data issues and optimize pipelines taking into consideration data quality, computation and cost.\n\nCollaborate with cross-functional teams to understand and translate data needed into effective data pipeline solutions\n\nDesign solutions to solving problems related to ingestion and curation of highly variable data structures in a highly concurrent cloud environment.\n\nRetain metadata for tracking of execution details to reproducibility and providing operational metrics.\n\nCreate routines to add observability and alerting to the health of pipelines.\n\nEstablish data quality checks and ensure data integrity and accuracy throughout the data lifecycle.\n\nResearch , perform proof-of-concept and leverage performant database technologies(like Aurora Postgres, Elasticsearch, Redshift) to support end user applications that need sub second response time.\n\nParticipate in code reviews.\n\nProactive in staying updated with industry trends and emerging technologies in data engineering.\n\nDevelopment of data services using RESTful API’s which are secure(oauth/saml), scalable(containerized using dockers), observable (using monitoring tools like datadog, elk stack), documented using OpenAPI/Swagger by using frameworks in python/java  and automated CI/CD deployment using Github actions.\n\nDocument data engineering processes , architectures, and configurations.\n\n\n\n\nBasic Requirements:\n\n\nA minimum of a BS degree in computer science, software engineering, or related scientific discipline.\n\nA minimum of 3 years of experience in software development\n\nStrong programming skills in languages such as Python/Pyspark, SQL\n\nExperience with Delta lake, Unity Catalog, Delta Sharing, Delta live tables(DLT)\n\nExperience with data pipeline orchestration tools - Airflow, Databricks Workflows\n\n1 year of experience working in AWS cloud computing environment, preferably with Lambda, S3, SNS, SQS\n\nUnderstanding of Data Management principles(governance, security, cataloging, life cycle management, privacy, quality)\n\nGood understanding of relational databases.\n\nDemonstrated ability to build software tools in a collaborative, team oriented environment that are product and customer driven.\n\nStrong communication and interpersonal skills\n\nUtilizes source code version control.\n\nHands-on experience with Docker containers and container orchestration.\n\n\n\n\nBonus:\n\n\nHealthcare and medical data experience is a plus.\n\nAdditional experience with modern compiled programming languages (C++, Go, Rust)\n\nExperience building HTTP/REST APIs using popular frameworks\n\nBuilding out extensive automated test suites\n\n\n\n\nBenefits:\n\nWe provide health, vision, and dental coverage for employees\n\n\n\n\n\n\n\nVerana pays 100% of employee insurance coverage and 70% of family\n\nPlus an additional monthly $100 individual / $200 HSA contribution with HDHP\n\n\n\n\n\n\n\n\nSpring Health mental health support\n\nFlexible vacation plans\n\nA generous parental leave policy and family building support through the Carrot app\n\n$500 learning and development budget\n\n$25/wk in Doordash credit\n\nHeadspace meditation app - unlimited access\n\nGympass -  3 free live classes per week + monthly discounts for gyms like Soulcycle\n\n\n\n\nFinal note:\n\nYou do not need to match every listed expectation to apply for this position. Here at Verana, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.\n\n \n\n \n\n \n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Docker, Testing, Cloud and Engineer jobs that are similar:\n\n $70,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.\n\n\nWith offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\n- Contribute to Waabi’s cutting edge AV stack and data-driven simulator.\n- Build and own robust, petabyte-scale ETL pipelines for ingesting and aggregating multi-sensor data to produce the maps leveraged both by Waabi World, as well by our autonomy software.\n- Be part of a team of multidisciplinary Engineers, Research Scientists, and Product Managers using an AI-first approach to enable safe self-driving at scale.\n- Interact with all areas of autonomy and simulation, many of which will be direct customers of maps.\n- Have the chance to learn about, and integrate numerous cutting-edge ML models into various stages of Waabi’s data pipelines: semantic segmentation, automated map annotation, 3D surface reconstruction, etc.\n- Collaborate closely with other teams including research scientists, ML and software engineers, and system engineers to understand use cases and deliver features that improve our overall data ecosystem.\n- Bring your expertise to provide technical leadership and mentorship to other engineers, and contribute to org-wide data architecture decision-making.\n- Assist in project roadmap planning, prioritization, and delivery.\n\n\nQualifications:\n- 5+ years of experience in developing and maintaining high-performance production data pipelines, including deep understanding of cloud infrastructure and cloud storage services like AWS S3, Google Cloud Storage, and Azure Blob Storage.\n- Solid coding proficiency and knowledge in Python and a compiled language like C++ or Rust.\n- Solid understanding of cloud job orchestration, monitoring, and instrumentation best-practices.\n- Open-minded and collaborative team player with the willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n\n\nBonus/nice to have:\n- Experience writing production software in Rust.\n- Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks like Apache Beam/Apache Airflow/Google Dataflow.\n- Familiarity with robotic sensor (LiDAR, camera) data.\n- Good documentation and technical writing skills.\n- Experience working in an Agile/Scrum environment.\n\n\n\n\n\nThe US yearly salary range for this role is: $129,000 - $238,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\n- Competitive compensation and equity awards.\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\n- Unlimited Vacation.\n- Flexible hours and Work from Home support.\n- Daily drinks, snacks and catered meals (when in office).\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.\n- As we grow, this list continues to evolve! \n\n\nWaabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nToronto, CAN, San Francisco, CA & Remote - US & Canada

\nMemora Health works with leading healthcare organizations to make complex care journeys simple for patients and clinicians so that care is more accessible, actionable, and always-on. Our team is rapidly growing as we expand our programs to reach more health systems and patients, and we are excited to bring on a Senior Data Engineer. \n\nIn this role, you will have the responsibility of driving the architecture, design and development of our data warehouse and analytics solutions, alongside APIs that allow other internal teams to interact with our data. The ideal candidate will be able to collaborate effectively with Memora’s Product Management, Engineering, QA, TechOps and business stakeholders.\n\nThis role will work closely with the cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions. Ideal candidates will be driven not only by the problem we are solving but also by the innovative approach and technology that we are applying to healthcare - looking to make a significant impact on healthcare delivery. We’re looking for someone with exceptional curiosity and enthusiasm for solving hard problems.\n\n Primary Responsibilities:\n\n\n* Collaborate with Technical Lead, fellow engineers, Product Managers, QA, and TechOps to develop, test, secure, iterate, and scale complex data infrastructure, data models, data pipelines, APIs and application backend functionality.\n\n* Work closely with cross-functional teams to understand customer pain points and identify, prioritize, and implement maintainable solutions\n\n* Promote product development best practices, supportability, and code quality, both through leading by example and through mentoring other software engineers\n\n* Manage and pare back technical debts and escalate to Technical Lead and Engineering Manager as needed\n\n* Establish best practices designing, building and maintaining data models.\n\n* Design and develop data models and transformation layers to support reporting, analytics and AI/ML capabilities.\n\n* Develop and maintain solutions to enable self-serve reporting and analytics.\n\n* Build robust, performant ETL/ELT data pipelines.\n\n* Develop data quality monitoring solutions to increase data quality standards and metrics accuracy.\n\n\n\n\nQualifications (Required):\n\n\n* 3+ years experience in shipping, maintaining, and supporting enterprise-grade software products\n\n* 3+ years of data warehousing / analytics engineering\n\n* 3+ years of data modeling experience\n\n* Disciplined in writing readable, testable, and supportable code in JavaScript, TypeScript, Node.js (Express), Python (Flask, Django, or FastAPI), or Java.\n\n* Expertise writing, and consuming RESTful APIs\n\n* Experience with relational or NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, etc.)\n\n* Experience with Data Warehouses (BigQuery, Snowflake, etc.)\n\n* Experience with analytical and reporting tools, such as Looker or Tableau\n\n* Inclination toward test-driven development and test automation\n\n* Experience with scrum methodology\n\n* Excels in mentoring junior engineers\n\n* B.S. in Computer Science or other quantitative fields or related work experience\n\n\n\n\nQualifications (Bonus):\n\n\n* Understanding of DevOps practices and technologies (Docker, Kubernetes, CI / CD, test coverage and automation, branch and release management)\n\n* Experience with security tooling in SDLC and Security by Design principles\n\n* Experience with observability and APM tooling (Sumo Logic, Splunk, Sentry, New Relic, Datadog, etc.)\n\n* Experience with an integration framework (Mirth Connect, Mule ESB, Apache Nifi, Boomi, etc..)\n\n* Experience with healthcare data interoperability frameworks (FHIR, HL7, CCDA, etc.)\n\n* Experience with healthcare data sources (EHRs, Claims, etc.)\n\n* Experience working at a startup\n\n\n\n\n\n\nWhat You Get:\n\n\n* An opportunity to work on a rapidly scaling care delivery platform, engaging thousands of patients and care team members and growing 2-3x annually\n\n* Enter a highly collaborative environment and work on the fun challenges of scaling a high-growth startup\n\n* Work alongside world-class clinical, operational, and technical teams to build and scale Memora\n\n* Shape how leading health systems and plans think about modernizing the care delivery experience for their patients and care teams\n\n* Improve the way care is delivered for hundreds of thousands of patients\n\n* Gain deep expertise about healthcare transformation and direct customer exposure with the country’s most innovative health systems and plans\n\n* Ownership over your success and the ability to significantly impact the growth of our company\n\n* Competitive salary and equity compensation with benefits including health, dental, and vision coverage, flexible work hours, paid maternity/paternity leave, bi-annual retreats, Macbook, and a 401(k) plan\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, NoSQL, Senior, Engineer and Backend jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nWhat you will be doing:\n\nBeacon Biosignals is seeking an experienced data scientist to help us ingest, analyze, and interpret petabytes of EEG data to drive advancements in brain health. In this role, you'll work alongside fellow data scientists, neuroscientists, engineers, and clinicians as part of Beacon's R&D department to draw meaningful insights from real world data and accelerate neurobiomarker discovery. You'll also contribute to Beacon's Life Sciences engagements with industry partners that power novel therapies for patients with neurological, psychiatric, and sleep disorders. This role reports to a manager in R&D and we are open to several levels, depending on past experience and applicable skills. \n\nAt Beacon, we've found that cultural and scientific impact is driven most by those who lead by example. As such, we're always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and—most of all—a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.\n\nBeacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs located in Boston and New York City.\n\nWhat success looks like: \n\n\n* Collaborate closely with teams of neuroscientists, data scientists, engineers, and other subject matter experts to develop statistical analysis plans for clinical trials, execute analyses, and write up results and interpretations.\n\n* Co-author scientific reports whose impact pushes the field past contemporary limitations.\n\n* Deliver clear and impactful data visualizations and presentations to varied audiences, both internal and external.\n\n* Write and review reusable, documented, tested code that produces polished, high quality analytical results for our partners and powers our core computational pipelines.\n\n* Leverage Beacon's products and your own subject matter expertise to inform analysis planning and execution.\n\n* Dig into large, messy, unfamiliar datasets, document their idiosyncrasies, and harmonize them with Beacon's datastore.\n\n\n\n\n \n\nWhat you will bring: \n\n\n* You have extensive experience using statistics to answer questions in industry, preferably in health sciences or another highly regulated field.\n\n* You're deeply familiar with statistical modeling, including interpretation and diagnostics. You pick the right statistical tool for the job and, perhaps most importantly, you know when that tool is not a model.\n\n* You're comfortable overseeing experiments that uniquely leverage data from our clinical partners, public datasets, and our own sensors to aid business decisions for ourselves and our clients.\n\n* You're painfully aware that thoughtful data curation is a prerequisite to analysis results that hold up under practical application.\n\n* You love teamwork and recognize that people can achieve more together than individually. You value close collaboration, open communication, and tight feedback loops to ensure you and your team are working together effectively and doing your best work.\n\n* You have excellent written and verbal communication and listening skills.\n\n* You have substantial experience presenting analyses to external audiences; you've learned the hard way what does and does not make an understandable and impactful presentation.\n\n* You stay calm and organized to meet tight deadlines amidst significant ambiguity.\n\n* You're familiar with and/or are excited to work with the technologies that power Beacon's data systems, including Julia, AWS, Apache Arrow, and GraphQL.\n\n* You prefer open source dependencies over closed source dependencies because you have a compulsion to read the code you're running.\n\n* You're comfortable working in a highly asynchronous hybrid work environment, and have demonstrated success doing so in the past.\n\n\n\n\nThe base salary range for this role is determined based on job level, past experience, specific skills, and qualifications. The base salary is one component of the total compensation package, which includes equity, PTO, and other benefits. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Non Tech and Non Tech jobs that are similar:\n\n $30,000 — $50,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBoston, Massachusetts, United States

\nABOUT THRIVE MARKET \n\n\nThrive Market was founded in 2014 with a mission to make healthy living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,000,000+ members find better products, support better brands, and build a better world in the process. We recently reached a significant milestone by becoming a Certified B Corporation, making us the largest grocer to earn this coveted qualification.\n\n\nTHE ROLE\n\n\nThrive Market’s Data Engineering team is seeking a Senior Data Engineer!\n\n\nWe are looking for a brilliant, dedicated, and hardworking engineer to help us build high-impact products alongside our Data Strategy Team. Our site sees millions of unique visitors every month, and our customer growth currently makes us one of the fastest-growing e-commerce companies in Los Angeles. We are looking for a Senior Data Engineer with hands-on experience working on structured/semi-structured/Complex data processing and streaming frameworks. We need your amazing software engineering skills to help us execute our Data Engineering & Analytics initiatives and turn them into products that will provide great value to our members. In this role, we are hoping to bring someone in who is equally excited about our mission, learning the tech behind the company, and can work cross-functionally with other engineering teams. \n\n\n\nRESPONSIBILITIES\n* Work across multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in partnership with various functional teams at Thrive Market\n* Be hands-on and take ownership of the complete cycle of data services, from data ingestion, data processing, ETL to data delivery for reporting\n* Collaborate with other technical teams to deliver data solutions which meet business and technical requirements; define technical requirements and implementation details for the underlying data lake, data warehouse and data marts\n* Identify, troubleshoot and resolve production data integrity and performance issues\n* Collaborate with all areas of data management as lead to ensure patterns, decisions, and tooling is implemented in accordance with enterprise standards\n* Perform data source gap analysis and create data source/target catalogs and mappings\n* Develop a thorough knowledge and understanding of cross system integration, interactions and relationships in order to develop an enterprise view of Thrive Market’s future data needs\n* Design, coordinate and execute pilots/prototypes/POC to provide validation on specific scenarios and provide implementation roadmap \n* Recommend/Ensure technical functionality (e.g. scalability, security, performance, data recovery, reliability, etc.) for Data Engineering\n* Facilitate workshops to define requirements and develop data solution designs\n* Apply enterprise and solution architecture decisions to data architecture frameworks and data models\n* Maintain a  repository of all data architecture artifacts and procedures\n* Collaborate with IT teams, software providers and business owners to predict and devise data architecture that addresses business needs for collection, aggregation and interaction with multiple data streams\n\n\n\nQUALIFICATIONS\n* Hands on experience  programming in Python, Scala or Java\n* Expertise with RDBMS and Data Warehousing (Strong SQL) with Redshift,Snowflake or similar\n* In-depth knowledge and experience with data and information architecture patterns and implementation approaches for Operational Data Stores, Data Warehouses, Data Marts and Data Lakes\n* Proficiency in logical/physical data architecture, design and development\n* Experience in Data lake / Big data analytics platform implementation either cloud based or on-premise; AWS preferred \n* Experience working with high volumes of data; experience in design, implementation and support of highly distributed data applications \n* Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration E.g. GitHub, Jenkins, Concourse, Airflow, Terraform\n* Experience with writing Kafka producers and consumers or experience with AWS Kinesis \n* Hands-on experience developing a distributed data processing platform with Big Data technologies like Hadoop, Spark etc\n* A knack for independence (hands-on) as well as team work\n* Excellent analytical and problem-solving skills, often in light of ill-defined issues or conflicting information.\n* Experience with streaming data ingestion, machine-learning, Apache Spark a plus\n* Adept in the  ability to elicit, gather, and manage requirements in an Agile delivery environment\n* Excellent communication and presentation skills (verbal, written, presentation) across all levels of the organization. Ability to translate ambiguous concepts into tangible ideas.\n\n\n\nBELONG TO A BETTER COMPANY\n* Comprehensive health benefits (medical, dental, vision, life and disability)\n* Competitive salary (DOE) + equity\n* 401k plan\n* Flexible Paid Time Off\n* Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences\n* Ability to work in our beautiful co-working space at WeWork in Playa Vista and other locations\n* Dog-Friendly Office\n* Free Thrive Market membership and discount on private label products\n* Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform\n\n\nWe're a community of more than 1 Million + members who are united by a singular belief: It should be easy to find better products, support better brands, make better choices, and build a better world in the process.\nFeeling intimidated or hesitant about applying because you don’t meet every requirement?  Studies prove that women and people of color are less likely to apply for jobs if they do not meet every single qualification. At Thrive Market, we believe in building a diverse, inclusive, and authentic culture. If you are excited about this role along with our mission and values, we sincerely encourage you to apply anyways! As the great Los Angeles King Wayne Gretzky said, “You miss 100% of the shots you don’t take.” Take the shot! \nThrive Market is an EOE/Veterans/Disabled/LGBTQ employer\nAt Thrive Market, our goal is to be a diverse and inclusive workplace that is representative, at all job levels, of the members we serve and the communities we operate in. We’re proud to be an inclusive company and an Equal Opportunity Employer and we prohibit discrimination and harassment of any kind. We believe that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you’re thinking about joining our team, we expect that you would agree!\nIf you need assistance or accommodation due to a disability, please email us at [email protected] and we’ll be happy to assist you.\nEnsure your Thrive Market job offer is legitimate and don't fall victim to fraud. Thrive Market never seeks payment from job applicants. Thrive Market recruiters will only reach out to applicants from an @thrivemarket.com email address. For added security, where possible, apply through our company website at www.thrivemarket.com.\n© Thrive Market 2023 All rights reserved.\n\nJOB INFORMATION\n* Compensation Description - The base salary range for this position is $160,000 - $190,000/Per Year. \n* Compensation may vary outside of this range depending on several factors, including a candidate’s qualifications, skills, competencies and experience, and geographic location. \n* Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more! \n\n\n\n\n\n#LI-DR1 \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, Scala, Senior and Engineer jobs that are similar:\n\n $55,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nLos Angeles or Remote

\nWe are redefining how people approach their health\n\n\nZOE is combining scientific research at a scale never before imagined and cutting-edge AI to improve the health of millions.  \n\n\nCreated by the world’s top scientists, our personalised nutrition program is reimagining a fundamental human need – eating well for your own body. Currently available in the US and the UK, ZOE is already helping > 100k ZOE members to adopt healthier habits and live better. Our work and expertise in biology, engineering, data science, and nutrition science have led to multiple breakthrough papers in leading scientific journals such as Nature Medicine, Science, The Lancet, and more.\n\n\nTo learn more, head to Spotify, Apple Podcasts, or Audible to listen to our Science & Nutrition Podcast (with 3 million listens!) \n\n\nA remote-first, high-growth startup, we are backed by founders, investors, and entrepreneurs who have built multi-billion dollar technology companies. We are always looking for innovative thinkers and builders to join our team on a thrilling mission to tackle epic health problems. Together, we can improve human health and touch millions of lives. \n\n\nWe value inclusivity, transparency, ownership, open-mindedness and diversity. We are passionate about delivering great results and learning in the open. We want our teams to have the freedom to make long-term, high-impact decisions, and the well-being of our teammates and the people around us is a top priority.\n\n\nCheck out what life is like for our tech team on ZOE Tech. \n\n\nWe’re looking for a Senior Data Engineer to take ZOE even further.\n\n\nAbout the team\n\n\nThe mission of the Core Science team is to transform research trials and data into personalised actionable recommendations that reach our members. We are currently developing a feedback loop to measure the efficacy of ZOE's nutrition and health advice, which will drive the evolution of our recommendations. In addition, the team is conducting supplementary studies in key areas, such as the microbiome, and constructing a platform to facilitate these trials alongside the main product. The team also maintains close collaboration with other stream-aligned teams to deliver scientific discoveries directly to the app.\n\n\nWe operate in a very dynamic and rewarding environment, where we work closely with all sorts of stakeholders to find the best solutions for both the business and our potential customers. Our agile, cross-functional teams use continuous delivery and regular feedback to ensure we deliver value to our customers on a daily basis. Our systems make use of Python, dbt, Apache Airflow, Kotlin, Typescript, React, and FastAPI. We deploy and operate our software using Kubernetes and ML models using VertexAI in GCP. \n\n\nAbout the role\n\n\nAs a Senior data engineer in the Core Science team, you will be working with scientists, data scientists and other engineers to build a platform that empowers our team to conduct scientific research trials and improve the efficacy of ZOE’s nutrition and health advice. Every line of code you write will be a catalyst for groundbreaking discoveries.\n\n\nIn this role, you will also have the opportunity to make a significant impact on the personal and professional development of our team by providing guidance, support, and expertise. You will play a crucial role in helping individuals achieve their goals, overcome challenges, and maximise their potential.\n\n\n\nYou'll be\n* Defining the data requirements from the research trials that the core Science team will run alongside data coming from the main product experience.\n* Automating data collection from a variety of sources (e.g. labs, questionnaires, study coordination tools).orchestrating integration of data derived from these trials into our data warehouse. \n* Coordinating with different product teams to ensure a seamless App experience for both study participants and paid customers. \n* Ensuring consistency and accuracy of all study data used for research and product development.  \n* Conducting exploratory data analysis to understand data patterns and trends. \n* Creating algorithms and ML models when necessary.  \n* Ensuring data security and compliance with regulatory standards.\n* Ensuring data accessibility to internal and external stakeholders with up-to-date documentation on data sources and schemes. \n\n\n\nWe think you’ll be great if you...\n* +6 years of experience in data engineering roles, with a proven track record of working on data integration, ETL processes, and data warehousing \n* Are proficient in Python and SQL and have experience with Data Warehouses (ex: BigQuery, SnowFlake) and interactive computing environments like Jupyter Notebooks.\n* Have knowledge of data governance principles and best practices for ensuring data quality, security, and compliance with regulatory standards.\n* Are detail-oriented and data-savvy to ensure the accuracy and reliability of the data. \n* Are someone who strives to keep their code clean, tests complete and maintained, and their releases frequent.\n* Have experience with cloud platforms like Google Cloud Platform (GCP) and platforms to schedule and monitor data workflows like Apache Airflow.\n* Have a solid understanding of best practices around CI/CD, containers and what a great release process looks like. \n* Have the ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.\n* Have a mindset of collaboration, innovation, and a passion for contributing to groundbreaking scientific discoveries.\n\n\n\nNice to have\n* Have experience with dbt and Apache Airflow. \n* Have experience with ML modelling and ML Ops. \n* Have experience with privacy-preserving technologies such as federated learning and data synthesis. \n\n\n\n\n\nThese are the ideal skills, attributes, and experience we’re looking for in this role. Don’t worry if you don’t tick all the boxes, especially on the skills and experience front, we’re happy to upskill for the right candidate. \n\n\nLife as a ZOEntist – what you can expect from us:\nAs well as industry-benchmarked compensation and all the hardware and software you need, we offer a thoughtfully-curated list of benefits. We expect this list to evolve as we continue supporting our team members’ long-term personal and professional growth, and their wellbeing. \n\n\nRemote-first: Work flexibly – from home, our London office, or anywhere within the EU \nStock options: So you can share in our growth \nPaid time off: 28 days paid leave (25 holiday days, plus 2 company-wide reset days, and 1 “life event” day) \nEnhanced Parental Leave: On top of the statutory offering\nFlexible private healthcare and life assurance options\nPension contribution: Pay monthly or top up  – your choice. \nHealth and wellbeing: Like our Employee Assistance Program and Cycle to Work Scheme\nSocial, WFH, and Growth (L&D) budgets. Plus, multiple opportunities to connect, grow, and socialise \n\n\nWe’re all about equal opportunities \nWe know that a successful team is made up of diverse people, able to be their authentic selves. To continue growing our team in the best way, we believe that equal opportunities matter, so we encourage candidates from any underrepresented backgrounds to apply for this role. You can view our Equal Opportunities statement in full here. \n\n\nA closer look at ZOE \nThink you’ve heard our name somewhere before? We were the team behind the COVID Symptom Study, which has since become the ZOE Health Study (ZHS). We use the power of community science to conduct large-scale research from the comfort of contributors’ own homes. Our collective work and expertise in biology, engineering, and data/nutrition science have led to multiple breakthrough papers in leading scientific journals such as Nature Medicine, Science, The Lancet, and more.\n\n\nSeen ZOE in the media recently? Catch our co-founder Professor Tim Spector (one of the world’s most cited scientists) and our Chief Scientist Dr Sarah Berry on this BBC Panorama, and listen to CEO Jonathan Wolf unpack the latest in science and nutrition on our ZOE podcast. \n\n\nOh, and if you’re wondering why ZOE? It translates to “Life” in Greek, which we’re helping ZOE members enjoy to the fullest. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUK/EU or compatible timezone (Remote)

\n\n\n \n\nWho are Tide:\n\nAt Tide, we’re on a mission to save businesses time and money. We’re the leading provider of UK SME business accounts and one of the fastest-growing FinTechs in the UK. Using the latest tech, we design solutions with SMEs in mind and our member-driven financial platform is  transforming the business banking market. Not only do we offer our members business accounts and related banking services, but also a comprehensive set of highly connected admin tools for businesses. \n\nTide is about doing what you love. We’re looking for someone to join us on our exciting scale up journey and be a part of something special. We are wanting passionate Tideans to drive innovation and help build a best-in-class platform to support our members. You will be comfortable in ambiguous situations and will be able to navigate the evolving FinTech environment. Imagine shaping how millions of Tide members discover and engage with business banking platforms and building this on a global scale.\n\nWhat we’re looking for:\n\nAs part of the team, you will be responsible for building and running the data pipelines andservices that are required to support business functions/reports/dashboard.. We are heavily dependent on Snowflake, Airflow, Fivetran, dbt , Looker for our business intelligence andembrace AWS as a key partner across our engineering teams\n\nAs a Analytics Engineer you’ll be:\n\n\n* Developing end to end ETL/ELT Pipeline working with Data Analyst of business function.\n\n* Designing, developing, and implementing scalable, automated processes for data extraction, processing, and analysis in a Data Mesh architecture\n\n* Mentoring other Junior Engineers in Team\n\n* Be a “go-to” expert for data technologies and solutions\n\n* Ability to provide on the ground troubleshooting and diagnosis to architecture and design challenges\n\n* Troubleshooting and resolving technical issues as they arise\n\n* Looking for ways of improving both what and how data pipelines are delivered by the department\n\n* Translating business requirements into technical requirements, such as entities that need to be modelled, DBT models that need to be build, timings, tests and reports owning the delivery of data models and reports end to end\n\n* Perform exploratory data analysis in order to identify data quality issues early in the process and implement tests to ensure prevent them in the future\n\n* Working with Data Analyst to ensure that all data feeds are optimised and available at the required times. This can include Change Capture, Change Data Control and other “delta loading” approaches\n\n* Discovering, transforming, testing, deploying and documenting data sources\n\n* Applying, help defining, and championing data warehouse governance: data quality, testing, coding best practises, and peer review\n\n* Building Looker Dashboard for use cases if required\n\n\n\n\nWhat makes you a great fit: \n\n\n* You have 7+ years of extensive development experience using snowflake or similar data warehouse technology\n\n* You have working experience with dbt and other technologies of the modern datastack, such as Snowflake, Apache Airflow, Fivetran, AWS, git ,Looker\n\n* You have experience in agile processes, such as SCRUM\n\n* You have extensive experience in writing advanced SQL statements and performance tuning them\n\n* You have experience in Data Ingestion techniques using custom or SAAS tool like fivetran\n\n* You have experience in data modelling and can optimise existing/new data models\n\n* You have experience in data mining, data warehouse solutions, and ETL, and using databases in a business environment with large-scale, complex datasets\n\n* You having experience architecting analytical databases (in Data Mesh architecture) is added advantage\n\n* You have experience working in agile cross-functional delivery team\n\n* You have high development standards, especially for code quality, code reviews, unit testing, continuous integration and deployment\n\n\n\n\nWhat you’ll get in return: \n\nMake work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get:\n\n\nCompetitive salary\n\nSelf & Family Health Insurance\n\nTerm & Life Insurance\n\nOPD Benefits\n\nMental wellbeing through Plumm\n\nLearning & Development Budget\n\nWFH Setup allowance\n\n15 days of Privilege leaves\n\n12 days of Casual leaves\n\n12 days of Sick leaves\n\n3 paid days off for volunteering or L&D activities\n\n\n\n\nTidean Ways of Working \n\nAt Tide, we’re Member First and Data Driven, but above all, we’re One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We are remote first, but when you do want to meet new people, collaborate with your team or simply hang out with your colleagues, our offices are always available and equipped to the highest standard. We offer flexible working hours and trust our employees to do their work well, at times that suit them and their team.\n\nTide is a place for everyone\n\nAt Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status. We believe it’s what makes us awesome at solving problems! We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.\n\n#LI-NN1 #LI-Remote\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Git and Engineer jobs that are similar:\n\n $55,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBangalore, Karnataka, India

\nExodus is looking for a Data Engineer who is passionate about product telemetry and measuring the customer journey. In this role you will be responsible for architecting, building and maintaining warehouses of product telemetry and designing the interfaces the business uses to turn this data into decision guiding insight. We are looking for someone who thinks about the whole system, who can balance the necessity of stability and scalability with the pragmatism required at a startup. Most importantly, we are looking for someone with curiosity, who likes to draw the clarity of an answer from the murk of data. Are you the Data Engineer Exodus is looking for?\n\nWhat You Will Do\n\n\nWith the team, decide which technologies should be used to gather and store essential Exodus data.\n\nDesign, prototype, and launch systems to process existing Exodus data in new ways.\n\nDesign, prototype, and launch systems that gather new data from public blockchains to better understand Exodus customers.\n\nBuild and maintain the API interfaces the business will use for accessing our product telemetry.\n\n\n\n\nWho You Are\n\n\nExperience with administering data warehousing technologies like Elasticsearch, BigQuery, Spark, etc.\n\nExperience writing ETL jobs in a Kubernetes environment\n\nExperience with high-capacity message queues like AWS Kinesis or Apache Kafka\n\nFamiliar with the AWS ecosystem of technologies\n\nComfortable with JS and applications written with node.js\n\n\n\n\nNice to Have\n\n\nPassion for the cryptocurrency technology space\n\nFamiliarity with vendors in the data processing & warehousing space\n\n\n\n\n \n\nAbout Exodus\n\nExodus is a multi-asset cryptocurrency wallet with a built-in exchange feature. We started our movement in 2015 and have been a distributed team since then . Our mission is to help half of the world exit the traditional financial system and move into the crypto financial system by the year 2030. To do that we want to make sure we hire the best of the best: people who are intrinsically motivated by what we are trying to achieve and who love what they do professionally. \n\nWhat We Offer\n\n\nFreedom to work wherever you want, whenever you want.\n\nBuilding the future. Cryptocurrencies lay the foundation to the internet of value, the next major wave in application technology and personal finance.\n\nCollaborative and feedback-driven culture.\n\nOpportunity to grow. \n\nFair pay, no matter where you live along with a competitive benefits package.\n\n100% pay in Bitcoin with a buffer to account for price changes and exchange fees. \n\nAll the tools you need to do the job \n\n\n\n\nBenefits\n\nHealth: Most of our health insurance plans are covered 100% for you and covered 50% for your dependents. We’ll also cover dental insurance. If you are outside of the United States, we will reimburse you up to $500 per month for any medical and dental insurance for you and your dependents.\n\nPTO: 30 days of paid time off per year on top of a flexible schedule where you can work wherever and whenever. If you’re part-time with us, you’ll still receive 15 days of paid time off.\n\nUnlimited Bereavement: We will pay you your full salary for the first two weeks for the loss of any immediate family members but we allow you to take all the time you need to grieve outside of that.\n\nParental Leave: 13 weeks of fully paid leave with and a month of flexible work for the primary caregiver. 4 weeks of paid leave if you are the child's secondary caregiver.\n\nTax Help: Getting paid in Bitcoin new to you? Don’t worry! We will reimburse you for speaking with a professional tax specialist in your state/country to make sure everything is taken care of.\n\nPerks: Exodus offers a variety of seasonal perks such as coverage for gym memberships and therapy. We also offer quarterly Wellness Days! We want to make sure all of our employees know they are our priority and give back for your hard work often.\n\nOur Hiring Process\n\nOur hiring process consists of several different stages. \n\nRecruiter Interview: If we like your initial application, expect to schedule an interview with a member of our recruitment team. This interview will focus on getting to know you a bit more and will focus on explaining the culture of the company. We want to know more about why you want to join our team, how you feel about our mission and cryptocurrency now and how it fits into your overall career plan to make sure this is the right place for you.\n\nAssessments: Not every role consists of an assessment but if yours does it will be directly related to the job you apply for.\n\nInterview with your future manager: This is to make sure that you are a fit for the role you are applying to and to explore your career history. In this interview, we’ll learn more about the hard and soft skills you possess to help determine if you’d be a good fit for us.\n\nInterview(s) with your future colleagues: We call these focus interviews and they are a time for you to learn more about your role from someone you will closely collaborate with. It’s also a time for us to see how we align in terms of competencies and expected outcomes of the role.\n\nExecutive Behavioral Interview: For our management roles, we take some more time before the end of the process to better get to know you and how well you align with our core values. Expect this call if you will be leading a team.\n\n \nPay Transparency Notice: Salary and all other total compensation information (bonus eligibility, benefits, and equity) will be discussed in detail during the hiring process.\nSalary Range\n\n$150,000—$184,000 USD\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Crypto, Bitcoin, API and Engineer jobs that are similar:\n\n $60,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nWorldwide