Senior Data Engineer
Core
Build secure, enterprise-grade data pipelines and platforms to make data usable for AI models, agents, and mission applications in classified environments.
Role type
Senior hands-on data engineer (AI/defense)
Builds
Production data pipelines, data services, and repeatable patterns for AI/agent workloads
Domain
Defense/Aerospace + Data Engineering + AI Infrastructure
Deliverable
production ML models
Required skills
SQL, Python, data pipeline design, ETL/ELT, relational databases, REST APIs, event-driven architectures, data quality, data lineage, Kubernetes, CI/CD, troubleshooting
Preferred skills
RAG, vector search, graph databases, data orchestration (Airflow/Dagster), streaming platforms (Kafka), Kubernetes/Helm/GitOps, air-gapped environments, NIST 800-53
Technologies
Python, SQL, Kubernetes, OpenShift, Kafka, Redpanda, Airflow, Dagster, Argo Workflows, Helm, GitOps, Oracle, vector databases, graph databases
Responsibilities
Design and maintain data pipelines for AI ingestion; integrate structured/unstructured data sources; collaborate with AI engineers on RAG and semantic search; establish data quality and governance practices; design secure data access patterns; operate data services in containerized environments; troubleshoot end-to-end data issues; standardize recurring engineering challenges.
Seniority
Senior, hands-on IC