Lead ETL/ELT in the development of public-facing data products and internal resources.
Manage the organization’s transition from a legacy system to a Fabric-based data lakehouse environment.
Create procedures, documentation, and training materials to support internal adoption of the new solution.
Serve as a strategic partner to teams across the organization on data collection and management.

Five to seven years of relevant work experience in a data engineering, science or analysis role.
Proficiency in Python or R for data collection, manipulation and automation required.
Master’s degree in data science, public administration, social science or a related field, preferred.
Familiarity with Microsoft Fabric, Databricks, Snowflake, or comparable cloud-based data platform preferred.
Experience with federal workforce, spending and/or performance data preferred.
Federal, state, local or tribal government and/or non-profit experience preferred.

Data Engineering Manager

Key skills