Data Engineer- SME
Core
Construct data analytical infrastructure and build automated MLOps workloads to transform petabyte-scale data into insights for national security missions.
Role type
Senior Data Engineer (MLOps & Infrastructure)
Builds
Automated data pipelines, ML systems, and end-to-end data architectures for government customers
Domain
Defense & Government Services / Big Data & MLOps
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, Docker, Kubernetes, CI/CD, GitOps, Microservices, ETL, Data Pipeline Design
Preferred skills
Petabyte-scale data processing, Multi-INT analytics, System Integration
Technologies
PyTorch, TensorFlow, PostgreSQL, Neo4j, MongoDB, Kafka, Airflow, Spark, GitLab, Argo, Harness
Responsibilities
Build and maintain data pipelines and storage systems; Design end-to-end data architectures; Lead teams building complex data pipelines and ML systems; Develop services to enable machine learning workflows; Implement CI/CD pipelines and DevSecOps best practices; Create technical documentation for software systems
Seniority
Senior, hands-on IC with team leadership