Data Engineer – DoD Secret

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and sustain comprehensive Ingest → Transform → Expose pipelines utilizing Airflow, Spark, dbt, and Iceberg.

• Ingest and standardize both structured and unstructured data (HL7, FHIR, PDF, JSON) for analytics and AI/ML applications.

• Align datasets with FHIR and OMOP standards to facilitate interoperability and enhance decision-making support.

• Establish schema versioning and governance protocols to guarantee traceability and maintain audit-ready lineage.

• Partner with DevSecOps and Data Science teams to produce AI-optimized datasets for predictive analytics and readiness forecasting.

• Enhance data performance across distributed environments while adhering to DoD Responsible AI and NIST AI Risk Management frameworks.

⛳️ Requirements

• Over 4 years of experience in Data Engineering or Analytics Engineering.

• Proficient in SQL and Python, with a background in creating modular, version-controlled transformations.

• Practical experience with Apache Airflow, Apache Spark, dbt, and data lake frameworks (Iceberg, Trino, Athena).

• Strong comprehension of ETL/ELT design, data modeling, and governance within distributed systems.

• Knowledgeable in AWS (Glue, S3, Lambda, Athena, EMR) and cloud-native data architectures.

• Exceptional collaborator with experience in cross-functional settings (DevSecOps, Data Science, Security).

🏝️ Benefits

• 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 a supportive, inclusive team culture with mission impact.