Note: The job is a remote job and is open to candidates in USA. Cityblock Health, Inc. is hiring a Staff Data Engineer to own and strengthen data pipelines and systems that support care delivery, analytics, and AI. The role focuses on reliable operational data, a governed semantic and metrics layer, and self-serve analytics in partnership with BI, clinical, product, and platform teams.
Responsibilities
- You'll improve the quality of member identity and eligibility data that determines who is an active member and gates every downstream clinical and financial workflow
- Build and maintain the ingest and transformation systems that turn raw partner data into something dependable, from correctness through freshness to reliability
- Own the reverse-ETL layer that feeds the operational data that directly impacts the efficiency and effectiveness of the execution of Cityblock's care model
- Support clinical performance evaluation and value-based contracts through a quality measurement pipeline that produces HEDIS and Stars metrics
- Define and maintain the semantic and metrics layer so each metric has one correct definition, applied consistently across every dashboard and every consumer
- Make metrics machine-readable and well-constrained, so an AI agent querying them gets a correct answer because the layer bounds what it can conclude
- Build self-serve analytics so stakeholders can answer their own questions against definitions they can trust
- Feed the Applied AI product work the grounded, trustworthy context its features depend on
- Partner with BI and clinical stakeholders so the definitions in the semantic layer match how the business actually reasons about itself
- Work with the platform team so agents query your data through governed, well-understood paths
Skills
- 6+ years of experience as an engineer who builds trustworthy systems
- Hands-on experience with dbt and SQL at production scale including orchestration with Dagster, Airflow, or equivalent
- Experience owning operational or reverse-ETL data systems that other applications depend on in production
- Experience designing or maintaining a semantic layer or a metrics layer
- An understanding of how LLMs consume structured context and fluent daily use of AI assistants tooling (Claude, Cursor, Codex, or equivalent) for engineering and within data analytics
- A demonstrated ability to scale AI adoption to accelerate collaborative work with your peers
- Drawn to mission-oriented work, and comfortable partnering with BI, clinical, and product stakeholders whose expertise differs from yours
- A CS degree or equivalent
- Prior work in a regulated or compliance-heavy environment (HIPAA, SOC 2, or similar)
- Direct experience in BigQuery
- Exposure to healthcare and clinical data, including ADT, HEDIS, CMS Stars
- Experience building self-serve analytics adopted by non-technical stakeholders
Benefits
- This role is eligible for health insurance, life insurance, retirement benefits, participation in the company’s equity program, paid time off, including vacation and sick leave.
Company Overview
Company H1B Sponsorship