ABOUT LARK

At Lark Health, we’re leading the way into a new era of cardiometabolic care, leveraging advanced AI techniques–including deterministic and generative models–to provide scalable, affordable, and compassionate care. We help our healthcare partners manage over 30 million lives and prevent conditions like obesity, hypertension, type II diabetes, and behavioral health. Our platform delivers real-time personalized counseling and health monitoring for each patient. By providing compelling and actionable insights, we empower every user to live happier, healthier lives. Come join our team!

THE ROLE

At the technical level, Data Engineers are skilled software engineers dealing with data at scale. In this role, you will be responsible for the data platform that powers internal and external data consumers. This includes enabling product reporting, invoicing, BI dashboards, and data services for our Data Science team. Data Engineering builds and maintains the foundational data infrastructure, ensuring reliable access to high-quality data that drives insights and decision-making across the organization..
If being part of a small dynamic, agile software engineering team practicing TDD with an emphasis on software quality, with a tremendous opportunity to make a big impact, this is the job for you! We are a collective of engineers dedicated to our craft, with a commitment to continuing education, peer mentorship, and collaboration. You will help drive and maintain a high-level of operational excellence in data engineering.

WHAT YOU’LL DO

• Develop data platform services, including integrations with new data sets
• Design and build robust data pipelines to ingest and land raw data into the foundational layer of the data lake, ensuring a scalable, reliable, and accessible data ecosystem for downstream analytics and insights.
• Reinforce and maintain the best practices in security, data privacy, quality, and data governance
• Help lead and collaboratively define Lark’s next-generation data platform
• Help build online data validation to ensure the assumptions we’ve tested for in our code remain true
• Collaborate with teams across the company to help develop data products that drive company success
• Evaluate, integrate, and build tools and infrastructure to accelerate Data Engineering, Data Science, Business Intelligence, Reporting, and Analytics as needed
• Drive data literacy across business functions