Data Engineer, Penn Wharton Budget Model jobs in United States
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University of Pennsylvania · 1 month ago

Data Engineer, Penn Wharton Budget Model

The University of Pennsylvania is a prestigious Ivy League institution known for its leadership in education and research. The Data Engineer will work within the Penn Wharton Budget Model team to design and maintain data infrastructure, implement best practices for data handling, and mentor junior team members while collaborating closely with economists and policy analysts.

Continuing EducationEdTechEducationSTEM EducationUniversities
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

The data engineer will work with the software engineering team to design, build, and maintain data infrastructure that houses data obtained from external sources and PWBM model output and enables PWBM and external collaborators easy access to information that is versioned, accurate, and consistent
Establish best practices for data ingestion, storage, and retrieval. Work with PWBM domain experts to implement best practices in extract-transform-load (ETL) code, including producing readable, modular, and testable code
Help the Director of Engineering and Data and domain experts plan future infrastructure development
Mentor junior engineers, research analysts, and graduate students
Perform additional duties as assigned

Qualification

Data engineeringCloud data storageETL processesPythonSoftware engineering best practicesData modelingData extractionStatistical modelsCommunication skillsMentoringCollaborationProblem-solving

Required

A bachelor's degree in a relevant field, such as computer science, software engineering, statistics, mathematics, or engineering; and 3-5 years of experience; or equivalent
More than 2 years of post-degree experience as a data engineer in a team setting, and familiarity with current cloud data storage options, data modeling, data extraction (e.g., web scraping or using web APIs), automation (e.g., pipelining), and alerting/monitoring with process insights in mind
Demonstrated ability to write readable, modular, and testable code
Experience with modern software engineering best practices (e.g. automated testing, pair programming, and continuous integration)
Solid ability to understand mathematical and statistical models
Strong written and verbal communication skills and the ability to collaborate successfully with teammates who have diverse technical backgrounds. The data engineer will work with individuals across a range of technical experience levels, so the candidate should be able to distill their thoughts into non-technical terms
Experience working with LLM-based coding tools
Experience with data frame packages/libraries in any programming language
Solid ability to identify requirements from discussions with domain experts and parse them into smaller stories/tasks

Preferred

Knowledge of Python and pandas
Experience working with survey data or other microdata
Familiarity with major economic and demographic data sources (e.g. Census Bureau, Bureau of Labor Statistics, and Bureau of Economic Analysis)
Experience working with data scientists or economists
Formal training in economics, public policy, or in quantitative disciplines such as statistics, engineering, and mathematics

Benefits

Health, Life, and Flexible Spending Accounts
Tuition
Retirement
Time Away from Work
Long-Term Care Insurance
Wellness and Work-life Resources
Professional and Personal Development
University Resources
Discounts and Special Services
Flexible Work Hours
Penn Home Ownership Services
Adoption Assistance

Company

University of Pennsylvania

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The University of Pennsylvania is an American private Ivy League Research University that excels in producing future leaders.

H1B Sponsorship

University of Pennsylvania has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (3)
2023 (2)
2022 (3)
2021 (5)
2020 (6)

Funding

Current Stage
Late Stage
Total Funding
$81.46M
Key Investors
National Science FoundationUS Department of EnergyParent Project Muscular Dystrophy
2024-08-28Grant
2023-06-26Grant· $18M
2022-09-15Grant· $55M

Leadership Team

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Mark Dingfield
Executive Vice President
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Angela Duckworth
Faculty Co-Director of Wharton People Analytics
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Company data provided by crunchbase