Data Engineer (DoD Secret | Remote) at Rackner

, , -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Python, Apache Airflow, Apache Spark, dbt, Data Lake Frameworks, ETL, ELT, Data Modeling, AWS, Collaboration, FHIR, OMOP, HL7, Responsible AI, NIST AI Risk Management

Industry

IT Services and IT Consulting

Description

🛰️ Data Engineer (DoD Secret | Remote) Location: Remote (U.S. Based) Clearance: Active DoD Secret Clearance (or higher) Employment Type: Full-Time Employee (FTE) Client: Rackner (Defense Program) 💡 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 🧭 Architecture Snapshot ┌───────────────────────────────────────────────┐ │ Ingest Layer │ │ (FHIR | HL7 | Legacy Exports | APIs) │ └───────────────────────────────────────────────┘ ⬇ ┌───────────────────────────────────────────────┐ │ Transform Layer │ │ dbt | Airflow | Spark | Iceberg | Testing │ └───────────────────────────────────────────────┘ ⬇ ┌───────────────────────────────────────────────┐ │ Expose Layer │ │ APIs | Athena | Dashboards | AI Features │ └───────────────────────────────────────────────┘ Rackner’s Modular ETL Architecture supports secure data integration and real-time mission insights. 🏢 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

Responsibilities

You will build and maintain end-to-end data pipelines, transforming raw information into actionable intelligence. Collaborating with various teams, you will ensure data performance and compliance with relevant frameworks.