Easy Apply
Easy Apply
As a Data Engineer, you'll design and optimize data pipelines for military healthcare, ensuring data interoperability and compliance with DoD standards.
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
Top Skills
Apache Airflow
Spark
Aws Athena
Aws Emr
Aws Glue
Aws Lambda
Aws S3
Dbt
Iceberg
Python
SQL
Similar Jobs
Artificial Intelligence • Fintech • Information Technology • Software • Data Privacy
The Principal Site Reliability Engineer is responsible for maintaining cloud infrastructure, ensuring application performance, and implementing automated solutions in a SaaS environment, while collaborating with security and software engineering teams.
Top Skills:
.NetAnsibleAppdynamicsAWSAzureAzure DevopsC#DatadogDynatraceHarnessJavaJenkinsKubernetesNew RelicTerraform
Artificial Intelligence • Fintech • Information Technology • Software • Data Privacy
The Sales Operations Business Partner will support sales leadership by enhancing operational efficiency, driving data-driven decisions, and ensuring accurate forecasting. Responsibilities include sales forecasting, revenue planning, reporting, process optimization, and executive communication.
Top Skills:
AnaplanPower BISalesforceTableau
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
The Data Scientist will analyze user behavior data, design experiments, create dashboards, and provide insights to drive business growth and optimize products.
Top Skills:
HadoopPythonRSQL
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
