Data Engineer

Summary:

• Responsible for building, optimizing, and maintaining data pipelines.
• Supports clinical, operational, and analytical reporting across the healthcare ecosystem.
• Works closely with senior engineers to support data analytics and business intelligence needs.

Responsibilities:

• Assist in the ingestion and integration of new data sources.
• Develop SQL queries, transformations, functions, and stored procedures to support reporting and analytics workflows.
• Support data platform tools such as Azure Data Factory, Databricks, Python/Spark jobs, and version control workflows.

Qualifications:

• 2–4 years of experience in data engineering, ETL development, or data integration (healthcare experience preferred).
• Strong SQL skills and experience working with relational databases.
• Bachelor’s degree in Computer Science, Information Systems, Healthcare Informatics, or related field (or equivalent experience).