Staff Data Engineer - AI-Ready, Trusted Data Layer

Cityblock Health; United States; Vor Ort; USD 153.000 - 210.000; Vollzeit

Benefits dieser Stelle

Health insurance

Life insurance

Retirement benefits

Equity program

Paid time off

Vacation and sick leave

Zusammenfassung

Cityblock Health is seeking an experienced engineer to own and scale our data pipeline and semantic layer. You will improve identity and eligibility data quality, build robust ingest/transform systems, and maintain the reverse-ETL feeding operational data for the care model.

You will work with BigQuery, dbt, and orchestration tools to enable trusted analytics and AI-assisted decision making across BI, clinical, and product teams.

Qualifikationen

• 6+ years of experience building 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.
• Understanding how LLMs consume structured context and fluent daily use of AI assistants tooling for engineering and data analytics.
• Demonstrated ability to scale AI adoption to accelerate collaborative work with peers.
• Able to partner with BI, clinical, and product stakeholders whose expertise differs from yours.

Aufgaben

• Improve the quality of member identity and eligibility data.
• Build and maintain the ingest and transformation systems for partner data.
• Own the reverse-ETL layer feeding operational data for the care model.
• Support clinical performance evaluation via a quality metrics pipeline (HEDIS/Stars).

Kenntnisse

dbt

SQL

Dagster

Airflow

Data pipelines

BigQuery

Semantic layer

LLM context

Ausbildung

CS degree or equivalent

Tools

Dagster

Airflow

BigQuery

Jobbeschreibung

Cityblock Health is seeking an experienced engineer to own and scale our data pipeline and semantic layer. You will improve identity and eligibility data quality, build robust ingest/transform systems, and maintain the reverse-ETL feeding operational data for the care model.

You will work with BigQuery, dbt, and orchestration tools to enable trusted analytics and AI-assisted decision making across BI, clinical, and product teams.