City of Philadelphia
Associate System Engineer
Philadelphia, PA, United States · Exec · Internship
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About the role
- With a workforce of over 25,000 people, and opportunities in more than 1,000 different job categories, the City of Philadelphia is the fifth largest city in the United States and one of the largest employers in Southeastern Pennsylvania.
- As an employer, the City of Philadelphia operates through the guiding principles of service, integrity, respect, accountability, collaboration, diversity and inclusion.
- The Office of Innovation & Technology (OIT) is the central IT agency for the City of Philadelphia headed by the Chief Information Officer.
Responsibilities
- Through these principles, we strive to effectively deliver services, to resolve the challenges facing our city, and to make Philadelphia a place where all of our residents have the opportunity to reach their potential.
- The CityGeo team manages enterprise GIS operations for the city including on-prem and cloud services, large scale technology and data contracts, and governance for geodata sharing and development standards.
- This position is intended for a motivated IT professional who wants to grow in systems engineering, scripting, task automation, application support, infrastructure operations, monitoring, and process improvement.
Requirements
- The successful candidate must be a city of Philadelphia resident within six months of hire
- The successful candidate should have strong troubleshooting instincts, curiosity, professionalism, and the ability to learn new systems quickly.
Compensation
- $70,000-$79,438
- Salary cannot exceed $79,438
Benefits
- This role may benefit from the thoughtful use of AI tools to support research, assist in reading or writing code, explore solution options, draft technical notes, and improve workflow efficiency.
Equal opportunity
- The City of Philadelphia is an Equal Opportunity employer and does not permit discrimination based on race,
This listing is sourced directly from City of Philadelphia's careers page and normalized into a canonical job model.