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AWS Data Engineer

Alexandria, VA

We are seeking an AWS Data Engineer to join our growing team. The qualified applicant will play a key role in the data warehouse migration as part of the Enterprise Data Analytic Services program at a federal agency located in Alexandria, VA. Hybrid work options are available.

AWS Data Engineer is responsible for the development and support of cloud-based solutions. Solutions include moving assets from on-premise to cloud environment, evaluation, and optimization. The person in this role will collaborate and work as a team to ensure the success of the team. If cutting-edge data projects resonate with you and you care deeply about joining a mission-driven agency, we'd love to learn more about you.


  • Work on automating migration process for RDS and RedShift scripts in AWS from Dev to Production.
  • Performance tune RDS/RedShift SQL queries.
  • Maintain/resize the clusters for RDS and RedShift.
  • Advise the engineering and software engineering team as they migrate from on-premise to cloud infrastructure.
  • Optimize cloud workloads for cost, scalability, availability, governance, compliance, etc.
  • Guide and/or provide hands-on support to administer production, staging, and deployment environments.
  • Partner and multi-disciplinary teams to understand requirements and plan architecture and solutions.
  • Apply insight and expertise across AWS services.
  • Apply knowledge of scripting and automation using tools like PowerShell, Python, Bash, Ruby, Perl, etc.

Experience and Qualifications:

  • Good working knowledge of AWS Services, including computing, storage networking, database, management tools, security, identity, and compliance.
  • Good knowledge of RDS Postgres and AWS Redshift.
  • 5+ years of experience in AWS (EC2, Glue, S3, Redshift, Python programming).
  • Experience implementing and debugging workloads in AWS.
  • Good knowledge of creating CFTs.
  • Experience building infrastructure inside of AWS via code. Familiarity with tools such as Terraform or CloudFormation.
  • 5+ years of experience architecting/deploying/operating solutions built on AWS.
  • Experience using ETL tools such as Alteryx, Snap Logic, Matillion, SAS DI Studio, Informatica, or equivalent tools.

Education Requirements:

  • Bachelor's degree in engineering, data science, computer science, or related field of study.
  • AWS and/or Data Science certification is a plus!

Clearance Requirements:

  • Ability to attain and retain a Public Trust Clearance.

Job Type:

  • Full Time
  • Hybrid work schedule
  • Monday-Friday
  • 9p-5p
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