Data Cloud Engineer with Secret Clearance
Job Summary
Seeking a Data Cloud Engineer with Secret Clearance to work remotely and develop high-performance data pipelines, support multi-cloud data integration initiatives, and design secure enterprise-scale data architectures.
Key responsibilities:
- Build and enhance scalable cloud-based data integration and processing pipelines across AWS and Azure technologies
- Develop data transformation workflows using PySpark, Spark SQL, and modern big data technologies
- Design and implement efficient data processing strategies, including full-load and incremental processing
Required qualifications:
- Active secret clearance required
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field
- 10+ years of experience in enterprise-scale data engineering and analytics solutions
- Strong hands-on experience with Python, SQL, PySpark, and Spark SQL
- Proven experience with cloud-native data platforms such as Azure Synapse, Databricks, or AWS Glue
Complete Job Description
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