Data Engineer
$77,500–$176,000 year
Hybrid · Atlanta, Georgia, United States
Job Summary
Data Engineer responsible for building and maintaining scalable data pipelines and platforms to organize disparate data for clients, working with cross-functional teams, and supporting analytics, clinical/public health stakeholders. Requires extensive hands-on experience with PySpark, SQL, Azure Databricks, ETL/ELT workflows, structured and unstructured data, and providing data solutions for health IT/clinical data contexts; must be able to communicate analytic concepts to non-technical stakeholders and participate in managing data platforms and monitoring operations. Role involves collaboration within a multi-disciplinary team on mission-driven projects and may involve hybrid on-site and remote work in Atlanta or Washington, DC areas.
Required Qualifications
- 3+ years of experience with PySpark and SQL
- 3+ years of experience with Azure Databricks
- 3+ years of experience retrieving, parsing, and processing structured and unstructured data
- 3+ years of experience building scalable ETL or ELT workflows for reporting and analytics
- Bachelor’s degree
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
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