This role involves building and monitoring data pipelines, creating scalable models in DBT, and ensuring data quality and observability for analytics in healthcare data.
ABOUT US
At Vida, we help people get better- and we're helping the healthcare system get better, too.
Vida is a virtual, personalized obesity care provider that uses evidence-based treatment to help patients manage obesity and related conditions like diabetes, high blood pressure, anxiety and depression. Vida's team of Obesity Medicine-Certified Physicians, Registered Dietitians, Expert Coaches and Licensed Therapists takes a whole-person approach to care, helping people lose weight, reduce stress and improve their overall health.
By combining advanced technology with top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. It's trusted by Fortune 100 companies, major national payers and large providers to enable their employees to live their healthiest lives.
**Vida is authorized to do business in many, but not all, states. If you are not located in or able to work from a state where Vida is registered, you will not be eligible for employment. Please speak with your recruiter to learn more about where Vida is registered.
We are hiring an Analytics Engineer to join our Data Foundations team. This is a net-new headcount as we scale the foundational data that powers everything from clinical analytics to operational dashboards and client-facing reports.
You will work between data ingestion and transformation, helping us build and monitor pipelines that power analytics across core healthcare datasets like medical claims, pharmacy, lab results and biometric data. You will also contribute to building robust, scalable data models in DBT + BigQuery, serving use cases across product, operations and clinical teams. This role is ideal for someone who’s technically strong in SQL/DBT, experienced with healthcare data and eager to work at the intersection of infrastructure, data quality and downstream impact.
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.
Vida is proud to be an Equal Employment Opportunity and Affirmative Action employer.
Diversity is more than a commitment at Vida—it is the foundation of what we do. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or Veteran status. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
We seek to recruit, develop and retain the most talented people from a diverse candidate pool. We don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our platform and those we serve. Vida is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at Vida in any form without a valid, signed search agreement in place for the specific position will be deemed the sole property of Vida. No fee will be paid in the event the candidate is hired by Vida as a result of the unsolicited referral.
#LI-remote
Top Skills
Airflow
BigQuery
Dbt
Elt
ETL
SQL
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