
Data Engineering Manager
Partnership for Public Service
full-time
Posted on:
Location Type: Hybrid
Location: Washington • District of Columbia • Washington • United States
Visit company websiteExplore more
Salary
💰 $70,000 - $95,000 per year
About the role
- 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
- use of an on-site exercise facility
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ETLELTPythonRdata collectiondata manipulationdata automationdata engineeringdata sciencedata analysis
Soft Skills
leadershipdocumentationtrainingstrategic partnershipcommunication
Certifications
Master’s degree in data scienceMaster’s degree in public administrationMaster’s degree in social science