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Data Engineer (DoD Secret Remote)

Rackner
Full TimemidRemote
RemoteRemotePosted 13 days ago

Role Overview

Rackner is hiring a mid-level Data Engineer (DoD Secret Remote). This is a full-time remote role, with the team based in Remote. Part of Rackner's Risk hiring, posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Mid-level Risk roles is $100k-$140k (based on 309 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

PythonSQLAWSApacheSparkAirflowdbtForecasting

Job description

Data Engineer (DoD Secret | Remote)

Location:
Remote (U.S. Based)
Clearance:
Active DoD Secret Clearance (or higher)

Make an Impact on Military Healthcare and Readiness

  • Join Rackner to modernize secure data infrastructure for a critical defense health program—enabling real-time insights that support care delivery, operational readiness, and mission decision-making.
  • You’ll design and scale data pipelines that transform raw information into actionable intelligence, ensuring interoperability and powering analytics across large-scale, distributed environments.
  • If you’re passionate about data engineering, cloud-native systems, and mission-driven innovation, this is your opportunity to make a national impact.

What You’ll Do

  • Build and maintain end-to-end Ingest → Transform → Expose pipelines using Airflow, Spark, dbt, and Iceberg.
  • Ingest and normalize structured and unstructured data (HL7, FHIR, PDF, JSON) for analytics and AI/ML use cases.
  • Map datasets to FHIR and OMOP standards to enable interoperability and decision support.
  • Implement schema versioning and governance to ensure traceability and audit-ready lineage.
  • Collaborate with DevSecOps and Data Science teams to deliver AI-ready datasets for predictive analytics and readiness forecasting.
  • Optimize data performance across distributed environments while ensuring compliance with DoD Responsible AI and NIST AI Risk Management frameworks.

Who You Are

  • 4+ years of experience in Data Engineering or Analytics Engineering
  • Proficient in SQL and Python, with experience building modular, version-controlled transformations
  • Hands-on with Apache Airflow, Apache Spark, dbt, and data lake frameworks (Iceberg, Trino, Athena)
  • Strong understanding of ETL/ELT design, data modeling, and governance in distributed systems
  • Familiar with AWS (Glue, S3, Lambda, Athena, EMR) and cloud-native data architectures
  • Excellent collaborator with experience in cross-functional environments (DevSecOps, Data Science, Security)

Preferred / Bonus

  • Experience with FHIR, OMOP, or HL7 data standards
  • Background in DoD, VA, or other federal health IT programs
  • Knowledge of Responsible AI and NIST AI Risk Management Frameworks
  • Familiarity with complex operational data systems or readiness analytics

About Rackner

  • Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.
  • We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.
  • Our teams solve high-impact problems that advance federal missions and strengthen national readiness. Join us to help shape the future of secure, scalable data systems supporting mission success.

Why You’ll Love Working Here

  • Weekly Pay and Full Remote Flexibility.
  • Professional Growth through paid certifications and training.
  • Comprehensive Benefits including 401(k) with 100% match up to 6%, PTO, medical/dental/vision, life & disability insurance.
  • Home office equipment plan and supportive, inclusive team culture with mission impact.

Hashtags for Visibility

#DataEngineering #DoDCleared #AWSData #Airflow #dbt #Spark #FHIR #RacknerCareers #FederalTech #AIReadyData

About Rackner

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Rackner

rackner.com

RiskHires remote

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Frequently Asked Questions

How do I apply for the Data Engineer (DoD Secret Remote) position at Rackner?

Use the Apply button above to submit your application directly to Rackner. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Is the Data Engineer (DoD Secret Remote) role at Rackner remote?

Yes. This is a remote role. The team is based in Remote, but the position itself does not require relocating to that office.

What does a Data Engineer (DoD Secret Remote) at Rackner earn?

Rackner has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Data Engineer (DoD Secret Remote) role at Rackner posted?

This role was posted on July 8, 2026 (13 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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