Responsibilities:
- Monitor and support critical inbound pipelines for claims, pharmacy, lab and biometric data, ensuring completeness and timeliness.
- Design and maintain scalable, modular DBT models on top of BigQuery to power internal analytics and performance guarantees.
- Translate business logic and metric definitions into reusable, production-grade data transformations.
- Partner with Data Analysts and cross-functional stakeholders to make healthcare data more reliable and accessible.
- Contribute to data validation frameworks and observability across the analytics stack.
- Support ingestion and mapping of complex structured healthcare data (e.g., FHIR, EHR, pharmacy claims) into proprietary canonical models.
- Drive documentation, testing and data governance best practices across your work.
- Participate in code reviews, schema design discussions and cross-team architecture decisions.
- Ensure data integrity, quality and observability throughout the analytics stack.
- Contribute to data governance, documentation and knowledge sharing across the data team.
- Partner with engineering teams on data infrastructure and with business teams to align on key metrics and KPIs.
Qualifications:
- 3+ years in analytics engineering, data engineering or similar analytics-focused roles.
- Strong experience with SQL and modern data modeling practices (e.g., dimensional modeling, star/snowflake schemas).
- Experience using DBT (preferred) or an equivalent transformation framework.
- Familiarity with cloud data warehouses (ideally BigQuery; Redshift/Snowflake okay).
- Experience with ETL/ELT orchestration tools like Airflow or similar.
- A strong understanding of healthcare data (especially claims, labs, pharmacy) and its common challenges.
- Comfort handling PHI/PII, with familiarity around HIPAA-compliant analytics practices.
- Excellent communication and collaboration skills across technical and non-technical teams.
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What We Do
Vida is a virtual care company that combines a human-centric approach with technology to address chronic and co-occurring physical and behavioral health conditions. We provide personalized chronic condition management combined with health coaching and therapy through a mobile and online platform that supports individuals in managing and significantly improving conditions such as diabetes, hypertension, obesity, depression, anxiety, etc. Our platform integrates deeply individual expert care with machine learning and remote monitoring to deliver lasting behavior change, health outcomes and cost savings. Vida is in the business of enabling self-insured employers, health plans and providers to take better care of their employees and members. We are trusted by Fortune 1000 companies, major national payers, and large providers to activate, engage, and empower their employees to live their healthiest lives. Based in San Francisco, CA, Vida is backed by investors including Khosla Ventures, StartX, Aspect Ventures, Canvas, Workday, and Nokia.



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