Data Engineer (DEA)
Core
Design, develop, and maintain scalable data pipelines for ingesting, transforming, and migrating structured and unstructured data to support DEA investigative and case management modernization.
Role type
Senior Data Engineer (ETL & Migration)
Builds
Centralized, secure, scalable data ecosystem for law enforcement, investigative, forensic, and intelligence missions
Domain
Government / National Security / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, ETL frameworks (Apache Airflow, Talend, dbt), data warehousing, cloud platforms (AWS, Azure, GCP), data profiling, data validation
Preferred skills
Big-data technologies (Hadoop, Spark), data visualization (Power BI, Tableau), Git, automated data workflows, federal government systems experience
Technologies
Apache Airflow, Talend, dbt, AWS Redshift, Google BigQuery, Azure SQL, Hadoop, Spark, Power BI, Tableau, Looker, Git
Responsibilities
Design and maintain scalable ETL pipelines; support large-scale legacy data migration; analyze data structures for workflow optimization; implement data cleaning and standardization; monitor data accuracy and integrity; develop data validation processes; collaborate with analysts and data scientists; document data flows and transformation logic; troubleshoot pipeline performance issues; support data preparation for AI/ML use cases.
Seniority
Mid-level, hands-on IC
