Remote Staff Data Engineer: Data Quality & Semantic Layer

Cityblock Health, Inc.; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Cityblock Health, Inc. is seeking a Staff Data Engineer for a full-time remote role in the United States.

You will own major parts of the data pipeline, improve data quality, and manage ingestion and transformation systems to support clinical performance evaluation and value-based contracts. You will build systems transforming raw partner data into reliable operational data and define a semantic layer to ensure consistent metric definitions across dashboards.

Qualifications

• 6+ years of experience in building trustworthy systems.
• Hands-on experience with dbt and SQL at production scale, including orchestration with Dagster or equivalent.
• Experience owning operational or reverse-ETL data systems in production.
• Experience designing or maintaining a semantic layer or metrics layer.
• Understanding of how LLMs consume structured context and experience with AI tools for engineering and data analytics.

Responsibilities

• Improve the quality of member identity and eligibility data for clinical and financial workflows
• Build and maintain systems for transforming raw partner data into reliable operational data
• Define and maintain a semantic and metrics layer to ensure consistent metric definitions across dashboards

Skills

dbt

SQL

Data pipelines

Dagster

AI tools for engineering

semantic layer design

Tools

Dagster

dbt

SQL

Job description

Cityblock Health, Inc. is seeking a Staff Data Engineer for a full-time remote role in the United States.

You will own major parts of the data pipeline, improve data quality, and manage ingestion and transformation systems to support clinical performance evaluation and value-based contracts. You will build systems transforming raw partner data into reliable operational data and define a semantic layer to ensure consistent metric definitions across dashboards.