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Database Engineer / DBA

Think Tank, Inc.

Tallahassee (FL)

Remote

USD 80,000 - 120,000

Full time

Today
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Job summary

A federal contractor is seeking a Database Engineer to manage data pipelines and ensure database security. This remote position requires expertise in data analytics for government projects and knowledge of compliance standards such as HIPAA and PII. It involves oversight of ETL processes and maintenance of audit documentation. Occasional travel to Tallahassee, FL will be required.

Qualifications

  • Must demonstrate expertise in technology and data analytics projects for local, state, military, and/or federal government.

Responsibilities

  • Manage data pipelines and oversee ETL processes.
  • Ensure database security through encryption and access controls.
  • Maintain environment consistency and audit-ready documentation.

Skills

Data analytics
Integration and transformation
Visualizing actionable insights
Predictive models and machine learning
Risk assessments
Data security and privacy
Job description
Job Description

Authorized to work in the US Required

Remote Position with occasional travel to Tallahassee, FL

Position is Subject to Contract Award

Must be able to provide 3 professional references

POSITION DESCRIPTION:

The Database Engineer provides critical support for the PoC environments (DEV, TEST, POC, PROD). This role manages data pipelines, oversees ETL processes, and performs performance tuning to ensure efficiency at scale. The DBA ensures database security through encryption, fine-grained access controls, and continuous monitoring in compliance with HIPAA/PII, FERPA, and CIJS standards. Applying CMMI-3 Configuration Management (CM) practices, the DBA maintains environment consistency and audit-ready documentation. This role ensures that the PoC operates reliably across all phases of execution.

REQUIREMENTS:

  • Must demonstrate expertise in technology and data analytics projects for local, state, military, and/or federal government.
  • Required expertise areas include:
    • Data analytics, integration, and transformation
    • Visualizing actionable insights
    • Predictive models and machine learning
    • Risk assessments
    • Data security and privacy
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