Care Access is seeking a Senior Data Engineer to design, develop, and maintain data pipelines that ensure efficient data management across various systems. The ideal candidate will have strong expertise in Databricks, SQL, and modern data engineering practices, and will collaborate with cross-functional teams to drive data excellence
Job Summary
Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs.
Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks).
Work cross-functionally with analysts, data scientists, software engineers, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions.
Matching Summary
Match Score: 85
Care Access is seeking a Senior Data Engineer to design, develop, and maintain data pipelines that ensure efficient data management across various systems. The ideal candidate will have strong expertise in Databricks, SQL, and modern data engineering practices, and will collaborate with cross-functional teams to drive data excellence.
Skills & Requirements
Must-have
Databricks
SQL
dbt
Python
Azure Data Factory
Nice-to-have
modern data engineering practices
collaboration skills
technical mentorship
Key Requirements
Strong expertise in Databricks, SQL, dbt, Python, and cloud data ecosystems such as Azure
Experience designing, developing, and maintaining robust data pipelines
Experience with complex data (demographics, medical, financial, marketing, etc.)