Remote Staff Data Engineer - Trusted Pipelines & AI

Cityblock; United States; Remote; USD 153,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Retirement benefits

Equity program

Paid time off (vacation and sick leave

Job summary

Cityblock is seeking a Staff Data Engineer to own core data pipelines and semantic layers that enable AI-assisted decision making across care and operations.

You will work with dbt on BigQuery, Dagster or Airflow orchestration, handling health data such as claims, eligibility, and EHR feeds. The role emphasizes data quality, reliability, and scalable analytics for stakeholders across BI, clinical, and product teams.

Qualifications

• 6+ years of experience engineering trustworthy systems.
• Hands-on with dbt and SQL at production scale with orchestration (Dagster/Airflow).
• Experience owning operational or reverse-ETL data systems in production.
• Experience designing/maintaining a semantic or metrics layer.
• Understanding of how LLMs consume structured context and AI tooling.
• Ability to scale AI adoption and collaborate with BI, clinical, and product stakeholders.

Responsibilities

• Own data quality as a product across operational data systems.
• Build and maintain ingest and transformation pipelines for reliable data.
• Own the reverse-ETL layer feeding operational data to downstream workflows.
• Support clinical performance evaluation and value-based metric pipelines.
• Define and maintain the semantic and metrics layer for consistent definitions.
• Build self-serve analytics so stakeholders can answer questions independently.

Skills

Data modeling

System design

AI-assisted analytics

Education

CS degree or equivalent

Tools

dbt

SQL

BigQuery

Dagster

Airflow

Job description

Cityblock is seeking a Staff Data Engineer to own core data pipelines and semantic layers that enable AI-assisted decision making across care and operations.

You will work with dbt on BigQuery, Dagster or Airflow orchestration, handling health data such as claims, eligibility, and EHR feeds. The role emphasizes data quality, reliability, and scalable analytics for stakeholders across BI, clinical, and product teams.