Senior Data Engineer
Job Summary
To support the Geisinger Research Data Core, the full-time Senior Data Engineer will develop and maintain scalable data pipelines and data models within the Databricks environment, focusing on transforming clinical data for research applications while working remotely.
Key responsibilities:
- Designs and maintains PySpark and SQL data pipelines for clinical data transformation
- Develops data models and optimizes data warehouse schemas for large-scale datasets
- Modernizes legacy ETL processes and implements data quality checks for accuracy and integrity
Required qualifications:
- Proven experience with Databricks and cloud-based data engineering platforms
- Strong proficiency in SQL and Python/PySpark for data processing pipelines
- Experience with Apache Spark and distributed data processing technologies
- Minimum of 10 years of related work experience
- Bachelor's degree in a technology-related field preferred
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