GDITHiring

MAHRS Data Engineer

  • Remote, United States
  • Mid-level
  • Posted 13 days ago
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In one line

Data engineering role on a Navy HR data program, building and tuning Databricks clusters and pipelines; remote, needs an active Secret clearance.

About the role

Work sits inside a federal HR data domain, keeping data available, clean and integrated for enterprise analytics and reporting. Requires US citizenship and a current Secret clearance.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
Databricks, Data modeling, Data pipelines, Metadata management, Network+, Security+
Posted
22 Oct 2026
Last checked
26 Oct 2026

What you will do

  • Build and maintain data hubs, intake pipelines and acquisition workflows
  • Engineer and document Databricks clusters to meet configuration standards
  • Help with conceptual modeling, schema design and metadata documentation
  • Write engineering and implementation plans for data solutions

What they look for

  • Bachelor's degree in computer science, engineering, math, statistics, business or similar
  • Three or more years in data engineering, architecture or warehouse development
  • Hands-on Databricks experience and familiarity with enterprise data modeling
  • Current Network+, Security+ or higher DoD IA certification
  • US citizenship and an active Secret clearance

How Keywordise applies for you

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Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
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ChatGPT

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Connector URL
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Muse

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Message for Muse
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Muse is available in the US only for now.

Prompt
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How to connect

Questions about this job

Can I do this job remotely, and from which countries?

Yes. The posting lists MAHRS Data Engineer as a remote role for candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a mid-level role. The posting asks for: bachelor's degree in computer science, engineering, math, statistics, business or similar; three or more years in data engineering, architecture or warehouse development; hands-on Databricks experience and familiarity with enterprise data modeling. Skills it names include Databricks, Data modeling, Data pipelines, Metadata management.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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