Remote Healthcare Data Engineer: Azure Databricks

Medasource; Murray, Northern (UT, KY); Hybrid; USD 90,000 - 117,000; Full time

Job summary

Medasource is seeking a Data Engineer for Healthcare Analytics on a fully remote, contract basis up to 12 months. You will build data models and pipelines in Azure Databricks, enabling value-based care insights, risk adjustment, and quality metrics. Collaboration with BI teams and leadership is essential in a fast-paced environment.

Requirements include 7+ years in data engineering, strong SQL/PySpark, Delta Lake, and experience with healthcare payer data. Healthcare analytics focus is key.

Qualifications

• 7+ years in data engineering with large, complex datasets.
• Production experience with Azure Databricks, PySpark and Spark SQL.
• Delta Lake and medallion (bronze/silver/gold) architecture expertise.
• Healthcare payer data experience and value-based care metrics.

Responsibilities

• Design and implement data models and pipelines in Azure Databricks.
• Develop and maintain ETL/ELT processes with data quality and lineage.
• Collaborate with BI developers and analytics leaders on dashboards.
• Orchestrate data workflows with Databricks Workflows or Azure Data Factory.
• Communicate modeling decisions to non-technical stakeholders.

Skills

Azure Databricks

PySpark

Spark SQL

SQL

Data modeling

ETL/ELT development

Data pipeline design

Communication skills

Education

Bachelor’s degree in Computer Science, Information Systems, Data/Analytics, Statistics, or related field

Databricks Data Engineer Associate or Professional certification

Microsoft Azure data/analytics certifications

Tools

Delta Lake

Databricks Workflows

Azure Data Factory

dbt

Unity Catalog

Git CI/CD

Power BI

Tableau

Job description

Medasource is seeking a Data Engineer for Healthcare Analytics on a fully remote, contract basis up to 12 months. You will build data models and pipelines in Azure Databricks, enabling value-based care insights, risk adjustment, and quality metrics. Collaboration with BI teams and leadership is essential in a fast-paced environment.

Requirements include 7+ years in data engineering, strong SQL/PySpark, Delta Lake, and experience with healthcare payer data. Healthcare analytics focus is key.