Data Engineering Manager leading and scaling the data engineering team to enable reliable analytics. Driving execution of modern data stack built on Snowflake, DBT, and AWS.
About the role
- 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
- Use of an on-site exercise facility
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