AWS MDM / Big Data (Data Lake) Engineer

Virtual Service Operations•Herndon, VA
•$180,000 - $225,000•Onsite

About The Position

Virtual Service Operations (VSO) is seeking an experienced AWS MDM / Big Data (Data Lake) Engineer to join a skilled team delivering advanced cloud engineering capabilities for a mission-critical, security-sensitive initiative. The engineer will help shape secure enterprise data platforms by making complex datasets discoverable, governed, and useful through scalable AWS data engineering and modern data architecture. The role involves collaboration with technical partners in an environment where careful engineering and measurable results matter. This is a full-time, on-site position. The employee must reside within commuting distance of an approved secure work location in Herndon, Virginia; Washington, DC; Seattle, Washington; or Denver, Colorado. Regular on-site work in an approved secure facility and occasional work at authorized customer facilities may be required. This is not a remote position. The position requires active TS/SCI clearance, eligibility for applicable SCI read-on/indoctrination and additional program-specific access approvals, and U.S. citizenship pursuant to a government contract.

Requirements

  • At least 5 years of data engineering experience with hands-on AWS delivery.
  • Experience with data ingestion, transformation, catalogs, and lake architectures.
  • Strong understanding of data governance and secure access controls.
  • Hands-on AWS cloud experience and ability to work effectively in highly controlled environments.
  • Active TS/SCI clearance; eligibility for applicable SCI read-on/indoctrination and additional program-specific access approvals.
  • Must reside within commuting distance of Herndon, VA; Washington, DC; Seattle, WA; or Denver, CO.
  • U.S. citizenship is required pursuant to a government contract.
  • Excellent written and spoken communication skills.
  • Ability to work independently and value teamwork.
  • Excellent problem-solving skills.

Nice To Haves

  • Experience with data mesh or zero-trust data architectures.
  • Experience with Athena, OpenSearch, EMR, or complex metadata management platforms.
  • Relevant AWS professional or specialty certifications; Security+ or CISSP where applicable.

Responsibilities

  • Design and evolve AWS data lakes using Amazon S3, AWS Glue, and Lake Formation.
  • Build and maintain metadata catalogs, schema ingestion, and data discovery capabilities.
  • Create ETL/ELT pipelines and optimize data access for analytics workloads.
  • Implement fine-grained data governance, tagging, and attribute-based access patterns.

Benefits

  • Ongoing learning and development opportunities.
  • Competitive salaries.
  • Health benefits.
  • Flexible work arrangements.
  • Benefits for eligible employees related to health, retirement, and professional development.
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