Data Engineering Manager at Partnership for Public Service. Leading data engineering for public-facing data products and internal resources in a hybrid work environment.
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.
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.
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
medical, dental and vision coverage
life insurance
long- and short-term disability insurance
a 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
plus all federal holidays and the day after Thanksgiving off
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