Data Engineer (DoD Secret)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Engineer (DoD Secret): Designing and scaling data pipelines for a critical defense health program with an accent on interoperability, data normalization, and cloud-native architecture. Focus on building AI-ready datasets using Airflow, Spark, and dbt while ensuring compliance with DoD and NIST frameworks.
Location: Must be based in the U.S. and hold an Active DoD Secret Clearance (or higher).
Company
is a cloud-native software consultancy delivering DevSecOps, AI/ML, and cloud-first solutions for startups, enterprises, and the public sector.
What you will do
- Build and maintain end-to-end data pipelines using Airflow, Spark, dbt, and Iceberg.
- Ingest and normalize structured and unstructured data including HL7, FHIR, PDF, and JSON.
- 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.
- Optimize data performance while ensuring compliance with DoD Responsible AI and NIST frameworks.
Requirements
- Must hold an Active DoD Secret Clearance (or higher).
- Must be based in the U.S.
- 4+ years of experience in Data Engineering or Analytics Engineering.
- Proficiency in SQL and Python with experience in modular, version-controlled transformations.
- Hands-on experience with Apache Airflow, Apache Spark, dbt, and data lake frameworks.
- Familiarity with AWS cloud-native data architectures.
Nice to have
- 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.
Culture & Benefits
- Weekly pay and full remote flexibility.
- Comprehensive benefits including 401(k) with 100% match up to 6%.
- Medical, dental, vision, life, and disability insurance.
- Professional growth through paid certifications and training.
- Home office equipment plan and inclusive team culture.
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