Data Engineer - Databricks Migration

Location: 100% Remote
Openings: 4
Contract: November 16, 2026 – May 21, 2027, with strong potential for extension

We are seeking experienced Data Engineers to support a large-scale Databricks migration within a healthcare data environment. This is a hands-on engineering role focused on data ingestion, ETL development, data warehousing, and building reliable silver and gold data layers.

This opportunity is best suited for strong technical Data Engineers who enjoy solving complex data problems, collaborating with BI teams, and working in modern Azure Databricks environments.

• Design and implement Databricks ingestion pipelines from multiple source types.

• Build and optimize silver and gold tables based on existing warehouse solutions.

• Develop ETL processes using Azure Databricks, DBSQL, SQL Server, T-SQL, and SSIS.

• Ingest data from RDBMS platforms, XML, JSON, flat files, and APIs.

• Partner with BI analysts and developers on data design and reporting requirements.

• Participate in design and code reviews.

• Test, troubleshoot, and resolve complex data and performance issues.

• Support data-model and data-warehouse development.

• Ensure solutions comply with privacy and security requirements, including HIPAA.

• 4 years of related Data Engineering experience.

• Strong SQL and T-SQL skills.

• Strong Azure Databricks and ETL experience.

• Experience with database performance tuning and security.

• Data warehousing and data-modeling experience.

• Strong communication and collaborative problem-solving skills.

Preferred: Power BI, Health Catalyst, and Epic experience.

Important: This is a hands-on Data Engineer position. Candidates whose background is primarily Data Architecture will not be considered.