About The Position

An experienced AWS MDM/Big Data (Data Lake) Engineer is sought to join a skilled team delivering advanced cloud engineering capabilities for a mission-critical, security-sensitive initiative. The role supports a highly classified modernization program, helping build next-generation cloud infrastructure and integration platforms that connect fragmented intelligence, operational data, and mission systems through APIs, MCP servers, and cloud-native technologies. The engineer will help make complex datasets discoverable, governed, and useful through scalable AWS data engineering and modern data architecture. This is a full-time, on-site position requiring an active TS/SCI clearance and U.S. citizenship. The employee must reside within commuting distance of an approved secure work location in Herndon, VA; Washington, DC; Seattle, WA; or Denver, CO. Regular on-site work at an approved secure facility is required, and occasional work at authorized customer facilities may be required. Candidates must also be eligible for applicable SCI read-on/indoctrination and additional program-specific access approvals.

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; must be eligible 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.
  • Regular on-site work in an approved secure facility is required; this is not a remote position.

Nice To Haves

  • Experience with data mesh or zero-trust data architecture.
  • Experience with Athena, OpenSearch, EMR, or complex metadata management platforms.
  • Relevant AWS professional or specialty certifications.
  • Security+ or CISSP certification, 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.
  • Help build cloud infrastructure and integration platforms connecting intelligence, operational data, and mission systems through APIs, MCP servers, and cloud-native technologies.
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