Remote Healthcare Data Engineer | Data Pipelines & AI

Empassion Health; New York (NY); On-site; USD 100,000 - 140,000; Full time

Job summary

Empassion Health is a tech-enabled remote healthcare company seeking a data engineer to build scalable data pipelines and models that support care quality and cost improvements for the advanced illness population. You will partner with analysts, engineers, and product teams to deliver reliable data flows in Airflow and dbt Cloud.

Ideal candidates have 2+ years in data/analytics engineering, strong SQL, Python, and experience with cloud data warehouses (BigQuery preferred).

Qualifications

• 2+ years in data engineering or analytics engineering.
• Strong SQL skills for querying large datasets.
• Proficiency in Python for data tasks.
• Experience with cloud data warehouses and storage (GCP preferred).
• Hands on with dbt or similar data modeling tools.
• Collaborative in dev/staging/prod environments with Product and Tech.
• Curious about operational workflows and business alignment.
• Proactive problem-solving mindset in fast-paced settings.
• Strong communication with analysts, engineers, and stakeholders.

Responsibilities

• Partner with teams to understand data needs and deliver reliable pipelines and models.
• 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 data models with SQL and dbt for new partnerships.
• Write Python code for Airflow DAGs and orchestrate data workflows.

Skills

SQL

Python

Airflow

dbt

BigQuery

LookML/Looker

Tools

Git/GitHub

Looker

Cloud Storage

Job description

Empassion Health is a tech-enabled remote healthcare company seeking a data engineer to build scalable data pipelines and models that support care quality and cost improvements for the advanced illness population. You will partner with analysts, engineers, and product teams to deliver reliable data flows in Airflow and dbt Cloud.

Ideal candidates have 2+ years in data/analytics engineering, strong SQL, Python, and experience with cloud data warehouses (BigQuery preferred).