Data Engineering Manager
About The Position
The Partnership for Public Service is seeking an experienced data engineering professional to join a dynamic data team working to build a better government and stronger democracy. As the Partnership expands our data product offerings, this role will be a critical contributor to building our internal capacity and infrastructure. This role will lead hands-on data engineering in support of data product development, manage our internal data lakehouse migration with support from a contractor, and serve as a strategic partner to projects across the Partnership. This position is ideal for someone with strong data engineering and data migration experience. A successful candidate will also have experience working across multiple workstreams and in a fast-paced environment.
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.
- Proven ability to use Python or R for data collection, manipulation and automation.
- Ability to design and implement ETL/ELT pipelines for moderately complex data projects involving multiple data sources and transformations.
- Proven ability to document technical processes and create knowledge resources for non-technical users.
- Ability to work effectively as part of a team across the larger enterprise, gathering and sharing information and insights, collaborating to solve problems and effectively connecting the work to the strategic plan and broader organization.
- Strong analytical and critical-thinking skills, including the ability to translate ideas into products and deliverables.[BL3] Commitment to the values of public service; the mission of the Partnership for Public Service.
Nice To Haves
- 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.
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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Manager
