Staff Data Engineer, Health Data Platform & AI

Cityblock Health; United States; On-site; USD 153,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Retirement benefits

Equity program

Paid time off

Job summary

Cityblock Health is seeking an experienced data engineer to own the core data pipeline that underpins our AI-enabled care platform. You will work with dbt Mesh on BigQuery (GCP), with ingestion orchestrated through Dagster, integrating claims, eligibility and enrollment, EHR data, and HIE/FHIR feeds to a unified semantic layer.

You will ensure data quality across identity and eligibility, build ETL/ELT processes, and enable self-serve analytics for BI, clinical, and product stakeholders,

Qualifications

• 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 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.

Responsibilities

• Own major parts of the data pipeline enabling scalable AI-ready answers.
• Work with a dbt Mesh on BigQuery (GCP) with ingestion via Dagster.
• Handle data from claims, eligibility, enrollment rosters, EHR, and HIE/FHIR feeds.
• Improve data quality for member identity and eligibility across downstream workflows.
• Build and maintain ingest and transformation systems turning raw partner data into a reliable semantic layer.
• Own the reverse-ETL layer feeding operational data for care model execution.
• Support performance evaluation and value-based metrics through a quality pipeline.
• Define and maintain semantic/metrics definitions and enable self-serve analytics for stakeholders.
• Collaborate with BI and clinical/product stakeholders; align data definitions with business reasoning.

Skills

dbt

SQL

Dagster

Airflow

semantic layer

metrics layer

data pipeline

AI tooling

data governance

Education

CS degree

Tools

BigQuery

GCP

Job description

Cityblock Health is seeking an experienced data engineer to own the core data pipeline that underpins our AI-enabled care platform. You will work with dbt Mesh on BigQuery (GCP), with ingestion orchestrated through Dagster, integrating claims, eligibility and enrollment, EHR data, and HIE/FHIR feeds to a unified semantic layer.

You will ensure data quality across identity and eligibility, build ETL/ELT processes, and enable self-serve analytics for BI, clinical, and product stakeholders,