Databricks Data Engineer
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Job Summary
To support Health & Life Sciences initiatives, an experienced Databricks Data Engineer will work remotely on a contract basis, designing, building, and optimizing scalable ETL/ELT pipelines and curated data products across large-volume structured and semi-structured datasets.
Key responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and SQL
- Develop data ingestion and transformation frameworks for large-volume datasets, implementing Delta Lake patterns and data-quality validations
- Collaborate with analysts and architects to deliver reliable curated data products while optimizing Spark workloads and SQL queries for performance
Required qualifications
- Bachelor's degree in Engineering or a related field
- 5+ years of experience with Databricks, PySpark, SQL, Delta Lake, ETL/ELT, and large-scale data processing
- 5+ years of experience with Unity Catalog, Azure/AWS, ADF, Databricks Workflows, CI/CD, and Performance Optimization
- 4-6 years of overall Data Engineering experience
- Must be located in the United States (Remote)
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