Data Engineer (Mid & Senior) (Huntsville)

Veteran-Owned Firm Seeking Data Engineers for an Onsite Assignment in Huntsville, AL

My name is Stephen Hrutka. I lead a Veteran-Owned management consulting firm in Washington, DC. We specialize in Technical and Cleared Recruiting for the Department of Defense (DoD), the Intelligence Community (IC), and other advanced defense agencies.

At HRUCKUS, we support fellow Veteran-Owned businesses by helping them recruit for positions across organizations such as the VA, SBA, HHS, DARPA, and other leading-edge R&D-focused defense agencies.

We seek to fill Data Engineer roles supporting the FBI in Huntsville, AL.

The ideal candidate will possess an active Top-Secret Security Clearance, and 5+ to 8+ years of experience in data engineering or database development. They should have strong hands-on experience with ETL tools (e.g., Informatica, Talend, Pentaho, AWS Glue, or custom Java ETL frameworks) and be proficient in SQL and at least one major RDBMS (Oracle or PostgreSQL).

If youre interested, I'll gladly provide more details about the role and discuss your qualifications further.

Thanks,

Stephen M Hrutka

Principal Consultant

HRUCKUS LLC

Executive Summary : HRUCKUS is seeking a Mid-Level and Senior-Level Data Engineers with Top-Secret Security Clearance for a role supporting the FBI in Huntsville, AL.

Job Description : We are seeking Data Engineers (Senior and Mid-Level) to support secure, mission-critical data environments within a classified cloud infrastructure. These roles are fully onsite in Huntsville, AL and require an active Top Secret clearance.

The ideal candidates will have strong experience with ETL development, data migration, Java-based data pipelines, and relational / NoSQL databases (Oracle, PostgreSQL, MongoDB), along with exposure to AWS cloud services and Agile / Scrum methodologies.

Responsibilities :

• Design, develop, and maintain ETL workflows to extract, transform, and load large-scale structured and unstructured datasets.
• Develop data migration solutions between legacy and modern systems using SQL, Java, and cloud-native tools.
• Implement data integration frameworks leveraging AWS services such as Glue, Lambda, S3, RDS, Redshift, and Kinesis.
• Develop automation scripts using Python, Shell, or Bash for deployment, data validation, and maintenance tasks.
• Maintain and enhance data pipelines for real-time and batch data processing.
• Support data quality, metadata management, and governance activities.
• Participate in Agile / Scrum sprints, contributing to design, code reviews, testing, and documentation.
• Troubleshoot and resolve data-related issues across on-premises and AWS environments.

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