Responsible for the design, development, and maintenance of enterprise data and programming infrastructure supporting HEDIS regulatory reporting and healthcare analytics initiatives.
Design, develop, and maintain scalable ETL/ELT pipelines
Build and optimize data ingestion, transformation, and integration processes using Python and PySpark.
Develop reliable and efficient data workflows.
Create fault-tolerant, maintainable, and high-performing data solutions.
Develop and support cloud-based data solutions utilizing GCP, Databricks, Apache Spark, and related technologies.
Design and develop reports, dashboards, and visualizations using Power BI and Tableau.

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
Minimum 3 years of experience with data pipeline and workflow management tools such as Apache Spark (Dataproc), GCP Tools, Databricks, and PySpark.
Minimum 3 years of experience building ETL and data integration pipelines using Python and PySpark.
Minimum 3 years of experience working with cloud platforms including GCP and Azure.
Minimum 3 years of experience developing reports and dashboards using Power BI and Tableau.
Minimum 3 years of experience working with Oracle, Teradata, and DB2 databases.
Minimum 3 years of experience designing or developing data solutions within healthcare environments.
HEDIS experience is highly preferred.

Senior Analytic Data Engineer

Key skills