\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

\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)