Enterprise Data Engineer
Core
Building and maintaining data pipelines to extract, transform, and load structured and unstructured data for US federal government clients.
Role type
Senior Enterprise Data Engineer
Builds
Centralized data systems and Palantir tool implementations for defense and national security missions
Domain
US Federal Government / Defense & National Security
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, ETL processes, data integration, data modeling, data quality validation
Preferred skills
Palantir, cloud platforms (AWS/Azure/GCP), big data technologies (Spark/Hadoop), data orchestration (Airflow/Prefect)
Technologies
Palantir, Python, SQL, Apache Spark, Hadoop, Apache Airflow, Prefect, AWS, Azure, GCP
Responsibilities
Write Python and SQL scripts to automate data processing; Integrate data from diverse sources into centralized systems; Implement data transformations and modeling workflows; Optimize data structures for performance and scalability; Provide technical guidance on Palantir tools; Implement data quality checks and monitoring mechanisms
Seniority
Senior, hands-on IC