ApacheAzureCloudETLGoogle Cloud PlatformOraclePySparkPythonSparkTableauELTAnalyticsBIPower BIDatabricksApache SparkGCPGoogle CloudRemote Work
About this role
Role Overview
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.
Requirements
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.
Tech Stack
Apache
Azure
Cloud
ETL
Google Cloud Platform
Oracle
PySpark
Python
Spark
Tableau
Benefits
Competitive compensation
Career-enhancing opportunities
Chance to contribute to impactful projects
100% remote work environment with flexibility and autonomy