Data Engineer
Core
Builds and maintains data pipelines, transformations, semantic views, and consumption-ready data models for analytics, reporting, and AI/ML use cases within a large federal agency's enterprise data ecosystem.
Role type
Senior Data Engineer (Cloud & Data Modernization)
Builds
Cloud-based data platforms, pipelines, and analytical data products for thousands of users.
Domain
Federal Government / Cloud Data Engineering
Deliverable
production ML models
Required skills
ETL/ELT, SQL, Python, Databricks, Azure Data Factory, Data Modeling, Data Quality Checks, Pipeline Documentation, Lineage Support
Preferred skills
Lakehouse Architecture (Bronze/Silver/Gold), Unity Catalog, MLOps, Feature Engineering, CI/CD Integration, Power BI, Semantic Models
Technologies
Databricks, Delta Lake, Apache Spark, Azure Data Factory, Unity Catalog, Power BI, Azure Machine Learning
Responsibilities
Build and maintain data pipelines and transformations; Implement pipeline documentation and lineage support; Work with data owners and governance teams to ensure data reliability; Apply ETL/ELT and orchestration tools; Develop semantic views and conformed dimensions; Support AI/ML workflows and data product lifecycle management.
Seniority
Senior, hands-on IC