Data Engineer (DoD Secret | Remote)

Rackner, Inc. is a cloud-native consultancy specializing in DevSecOps, AI, and cloud architecture to help enterprises and startups with digital transformation. They offer services in application development, modernization, and building solutions for datacenter, cloud, and edge environments.

Rackner

Employee count: 11-50

United States only

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🛰️ 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 help 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 chance 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 🎓 Paid Certifications 🩺 Full Benefits 🏠 Remote Flexibility
401(k) 100% Match (up to 6%) Training Career Growth Medical / Dental / Vision Work Anywhere in the U.S.

Generous PTO and comprehensive health coverage
Life, short- and long-term disability insurance
Home office equipment plan for remote productivity
Supportive, inclusive team culture with mission impact

🔖 Hashtags for Visibility

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

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About the job

Apply before

Dec 30, 2025

Posted on

Oct 31, 2025

Job type

Full Time

Experience level

Mid-level

Location requirements

United States

Hiring timezones

United States +/- 0 hours

About Rackner

Learn more about Rackner and their company culture.

View company profile

Rackner's customers, ranging from dynamic startups to large federal agencies, often grapple with the complexities of digital transformation and the need to modernize their technological infrastructure. They face challenges in accelerating application delivery, ensuring scalability, and maintaining robust security in an ever-evolving threat landscape. Many are looking to harness the power of Artificial Intelligence (AI) and Machine Learning (ML) to gain a competitive edge or enhance mission-critical capabilities, but may lack the in-house expertise to develop or modernize their applications effectively. Furthermore, the demand for innovative systems leveraging emerging technologies like Edge computing, IoT, Mobile, and VR requires specialized knowledge that can be difficult to acquire and maintain.

This is why Rackner focuses on building cutting-edge solutions that apply DevSecOps and the power of AI across various environments, including datacenters, public/private clouds, and the edge. We empower our clients by providing end-to-end application development, robust DevSecOps practices, and expert systems architecture, all within a methodology centered on cloud-first, cost-effective innovation. For organizations struggling with legacy systems, we offer application modernization services, transforming slow-loading applications into blazing-fast, cloud-native solutions. Our expertise in Kubernetes, as a Kubernetes Certified Service Provider, allows us to help clients manage large clusters in production effectively. We guide businesses in developing and implementing AI/ML strategies, from building data-forward solutions with existing and new models to establishing AutoML and MLOps infrastructure for continuous improvement. By focusing on the business impact of AI, we ensure that the solutions we build increase efficiency and efficacy. Rackner also assists clients in developing modern, well-documented APIs and implementing API management for optimal consumption, alongside robust logging and monitoring to enhance user experience. Our commitment extends to enterprise platform security, ensuring applications are audited and continuously monitored for breaches. Ultimately, Rackner enables organizations to move their missions forward with cloud-native solutions, accelerating delivery, enhancing security, and building the next generation of innovative systems.