Senior Data Engineer — Healthcare Data Pipelines

Empassion Health; New York (NY); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Equity grants

Medical, dental, and vision coverage

401(k) retirement plan

Remote-friendly company culture

Job summary

Empassion Health is a Management Services Organization focused on improving care quality and cost for advanced illness populations, offering tech-enabled proactive care and equity. We seek a data/analytics engineer to build pipelines and models that power reporting for partnerships and care optimization.

Ideal candidates have 2+ years of data engineering experience, strong SQL and Python skills, and familiarity with cloud data warehouses.

Qualifications

• 2+ years in data engineering or analytics engineering
• Strong SQL skills
• Proficiency in Python for data tasks
• Experience with cloud data warehouses (GCP preferred)
• Hands-on dbt or similar data modeling tool experience
• Collaborative in dev/staging/prod environments with Product & Tech
• Interest in operational workflows and cross-functional partnerships
• Proactive problem-solving in fast-paced settings
• Strong communication with analysts, engineers, and stakeholders
• Nice-to-have: healthcare data familiarity, Git/GitHub, Looker/LookML

Responsibilities

• Build and maintain scalable ingestion and egress pipelines in Airflow and dbt Cloud
• Implement unit tests and monitoring to guarantee data integrity
• Model and transform healthcare datasets into usable formats for data science and reporting
• Enhance and scale data models with SQL and dbt
• Write Python code for Airflow DAGs and orchestration across data sources

Skills

SQL

Python

Airflow

dbt

Cloud data warehousing

Tools

BigQuery

Cloud Storage

Composer

Git/GitHub

Looker LookML

Job description

Empassion Health is a Management Services Organization focused on improving care quality and cost for advanced illness populations, offering tech-enabled proactive care and equity. We seek a data/analytics engineer to build pipelines and models that power reporting for partnerships and care optimization.

Ideal candidates have 2+ years of data engineering experience, strong SQL and Python skills, and familiarity with cloud data warehouses.