Vitable Health is seeking a Senior Data Engineer / Analytics Engineer to design, build, and maintain the scalable data systems that power our business. You will work closely with teams across the company to translate requirements into reliable solutions, advocate for data-driven decision making, and ensure our data infrastructure supports long-term growth.
What You'll Do
- Partner with Product, Engineering, Clinical, Operations, and Finance teams to understand data needs and build scalable solutions.
- Design, develop, and maintain reliable ETL/ELT pipelines across ingestion, transformation, storage, and consumption.
- Build and manage data models and transformations using dbt with strong testing and documentation practices.
- Implement data governance, quality checks, lineage, and observability.
- Write production-grade Python/SQL, debug complex issues, and ensure data accuracy and reliability.
- Integrate data from multiple internal and external sources and systems.
- Contribute to architectural decisions, technology selection, and data engineering standards.
- Mentor and support future data team members as we scale.
- Build metrics and dashboards for operational insights, clinical analytics, funnel conversion, cost modeling, and financial reporting.
- Ensure data requirements are incorporated early into product and operations workflows.
- Partner with Security/Compliance to ensure processes meet SOC2 and HIPAA-adjacent requirements.
What We're Looking For
- 5+ years of data engineering or analytics engineering experience designing and maintaining scalable, reliable data solutions.
- Strong proficiency with dbt and modern ELT workflows.
- Extensive experience with ETL/ELT techniques, including batch and streaming.
- Expertise with cloud platforms such as AWS (S3, Redshift, Glue, Lambda), GCP (BigQuery, Dataflow, Cloud Storage), or Azure.
- Strong programming skills in Python (preferred) or Java.
- Deep SQL proficiency across relational and NoSQL systems.
- Excellent communication skills with the ability to translate technical concepts into straightforward business insights.
- Strong problem-solving skills and the ability to work independently with ambiguity.
- Proven ability to lead technical initiatives and influence systems and process improvements.
- Bachelor’s or Master’s in Computer Science, Engineering, or a related field (or equivalent experience).
Nice to Have
- Experience with data governance, quality frameworks, or metadata management tools.
- Familiarity with Docker, Kubernetes, or containerized workflows.
- Experience with Infrastructure as Code (Terraform, CDK).
- Experience supporting SOC2 or HIPAA compliance.
- Experience with BI tools (Metabase, Looker, Tableau, Power BI).
- Experience preparing datasets for machine learning use cases.
Technical Stack
- Data Tools: dbt
- Cloud: AWS (S3, Redshift, Glue, Lambda), GCP (BigQuery, Dataflow, Cloud Storage), Azure
- Languages: Python, Java, SQL
- Infrastructure: Docker, Kubernetes, Terraform, CDK
- BI: Metabase, Looker, Tableau, Power BI
Benefits & Compensation
- 100% Silver Plan + Full Medical Coverage
- Dental and Vision Coverage
- 401(k) and Life Insurance
- Access to Vitable’s Primary Care membership
- Unlimited PTO
- Remote-first culture with a supportive team
- MacBook and any other gear you need
- Mentorship opportunities through First Round Capital
- Home office setup stipend
- Competitive equity package
Work Mode
This is a remote-first position.
Vitable is an equal opportunity employer. We celebrate diverse backgrounds, perspectives, and experiences—and we’re committed to building a team that reflects the people we serve.
