Data Cloud Engineer
Job Summary
To support a long-term federal modernization program, the fully remote Data Cloud Engineer will design, develop, and maintain production-grade ETL/ELT pipelines, focusing on high-performance PySpark development and scalable data integration within secure DoD environments.
Key responsibilities:
- Design and maintain production-grade ETL/ELT pipelines with a focus on PySpark development and Spark SQL optimization
- Build scalable data pipelines using Azure Synapse Analytics, Databricks, and AWS Glue, while implementing data quality and governance controls
- Collaborate with cross-functional teams to support security requirements and automate deployments across cloud data environments
Required qualifications:
- 10+ years of experience designing and operating scalable data pipelines using Azure Synapse and/or Databricks, with a Bachelor's degree in a related field
- Strong hands-on experience in PySpark development and high-performance coding for ETL pipelines
- Advanced skills in Spark SQL, Python, and SQL for large-scale data transformation
- Experience with data governance, RBAC, and credential management in secure cloud environments
- Active Secret security clearance is required
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