Senior Data Engineer

Our client, a federal services contractor, needs a senior data engineer to build and run cloud data pipelines supporting a government mission. You’ll own the full data lifecycle on AWS, from ingestion through modeling, with a strong emphasis on security and reliability.

What You’ll Do

• Build and support batch and incremental data pipelines that pull structured and semi-structured data from a variety of sources
• Develop processing jobs in Python, Spark, and SQL that are fast, stable, and easy to maintain
• Work across the AWS data stack: S3, Glue, EMR, Redshift, Athena, Lambda, and Step Functions
• Design lake and warehouse models, including schemas, partition strategies, and metadata catalogs
• Add validation, monitoring, logging, and alerting to production workloads
• Enforce security controls such as IAM roles, encryption, and least-privilege access
• Contribute to automated deployment and infrastructure-as-code for data systems
• Partner with business and technical teams to scope requirements, resolve issues, and document work

• Active TS/SCI clearance (U.S. citizenship required)
• 8+ years in professional IT, with 5+ focused on data engineering or ETL
• 3+ years hands-on with AWS data services
• Expert-level Python and SQL, plus working Spark/PySpark experience
• Track record supporting large-scale production pipelines
• Solid grasp of dimensional modeling, warehousing, and data lake design
• Git and Agile experience
• Clear communicator with both technical and non-technical audiences
• Bachelor’s in a technical field or equivalent experience

Nice to Haves

• AWS certification (Data Engineer, Solutions Architect, or similar)
• Terraform or CloudFormation
• Airflow/MWAA or Step Functions orchestration
• Exposure to Databricks, Snowflake, or Informatica
• Streaming experience with Kafka or Kinesis
• Background with federal financial or regulatory data
• Work in FedRAMP or similar compliance-heavy environments