AWS MDM/BIG DATA (DATA LAKE) ENGINEER - (Must have active TS/SCI clearance)

NorthHill Technology Resources; Herndon (VA); On-site; USD 150,000 - 210,000; Full time

Job summary

NorthHill Technology Resources is seeking an experienced AWS MDM / Big Data Engineer to join a high-security, on-site data engineering team supporting a mission-critical program. You will design secure data lakes, build metadata catalogs, and create ETL pipelines in AWS for governed datasets.

The role requires TS/SCI clearance and residency within commuting distance of Herndon, VA, or alternate secure locations.

Qualifications

• 5+ years of data engineering 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 in highly controlled environments.

Responsibilities

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

Skills

Data engineering

AWS

Data governance

Security controls

Tools

Athena

OpenSearch

EMR

Job description

One of our premier clients is seeking an experienced AWS MDM / Big Data (Data Lake) Engineer to join a highly skilled team delivering advanced cloud engineering capabilities for a mission-critical, security-sensitive initiative. This is a full-time position requiring an active Top Secret/SCI level clearance. Shape the next generation of secure enterprise data platforms. You will help make complex datasets discoverable, governed, and useful through scalable AWS data engineering and modern data architecture. You will work with experienced technical partners in a collaborative environment where careful engineering and measurable results matter.

The program you will be supporting is a highly classified, mission-critical modernization initiative. Your roles will be to help 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.

Key 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.

Qualifications:

• 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.

Preferred Qualifications:

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

Requirements:

• 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 one of the following 4 approved secure work locations: Herndon, VA; Washington, DC; Seattle, WA; or Denver, CO.
• 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.
• Full-time position, on-site
• Please note that pursuant to a government contract, this specific position requires U.S. citizenship status