Data Engineer
Core
Design, develop, and maintain scalable data pipelines and enterprise data platforms to enable advanced analytics, reporting, and data-driven decision-making for fraud detection and financial oversight.
Role type
Senior Data Engineer
Builds
Scalable ETL/ELT pipelines, modern Lakehouse architecture solutions, and optimized data workflows
Domain
Federal government defense and national security
Deliverable
production ML models | product features
Required skills
SQL, Python, ETL/ELT pipeline design, data ingestion from diverse formats (flat files, JSON, XML, REST APIs, graph databases), Databricks Unity Catalog, SQL Server Managed Instances, batch and streaming data frameworks, Lakehouse architecture, data quality controls, data lineage, enterprise data management (EDM)
Preferred skills
Fraud detection analytics, anomaly detection, financial oversight analytics
Technologies
Databricks Unity Catalog, SQL Server Managed Instances
Responsibilities
Design and maintain scalable ETL/ELT pipelines; ingest and transform data from structured and unstructured sources; optimize data platform performance; implement data quality controls and governance; collaborate with analysts and developers to support analytical environments.
Seniority
Mid-Senior, hands-on IC