Data Engineering Manager leading data product development for the Partnership for Public Service. Overseeing internal data lakehouse migration and all associated data engineering efforts.
Responsibilities
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, including overseeing a contractor in the development and execution of a phased data migration plan that minimizes disruption to ongoing operations.
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.
Requirements
Five to seven years of relevant work experience in a data engineering, science or analysis role
Bachelor’s degree, or equivalent professional work or military experience
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.
Benefits
Health insurance
Dental and vision coverage
Life insurance
Long- and short-term disability insurance
401(k) program with a 4 percent employer match
Opportunities for training and development
Commuter benefits
15 days of annual leave per year
10 days of sick leave per year
All federal holidays and the day after Thanksgiving off
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