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Data Engineer, CGIR
Data Engineer, CGIRUniversity of Pennsylvania • Custer, SD, US
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Data Engineer, CGIR

Data Engineer, CGIR

University of Pennsylvania • Custer, SD, US
23 hours ago
Job type
  • Full-time
Job description

University Overview

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. With its beautiful urban campus and vibrant cultural scene, Philadelphia is the perfect place for work and play.

Posted Job Title

Data Engineer, CGIR

Job Profile Title

Data Analyst D

Job Description Summary

The Center for Guaranteed Income Research (CGIR) is an unconditional cash-transfer research center headquartered at the School of Social Policy & Practice at the University of Pennsylvania. CGIR conducts applied cash-transfer studies and pilot designs in collaboration with community-based organizations and government stakeholders to add to the empirical scholarship on cash, economic mobility, and poverty. CGIR is currently conducting the world's largest multi-site evaluation of nearly 40 guaranteed income pilots across the nation as part of The American Guaranteed Income Studies (AmGIS). Using a common research design and a core survey across its pilot sites, the aims of AmGIS are to (1) facilitate comparisons across pilot sites, and (2) create a singular master dataset pooling data from more than 19,000 study participants across treatment and control groups. In addition, CGIR is augmenting its original survey data with administrative data from across its diverse pilot sites.

The Data Engineer will work closely with CGIR's Biostatistician, Center Leadership, and Research Scientists to design and manage the data infrastructure for the AmGIS sites described above. Key responsibilities include organizing and structuring raw data, overseeing data quality assurance, cleaning, and control activities, consolidating individual site-specific datasets into a singular master dataset, integrating survey data with administrative data, and ensuring the security, integrity, and storage of data sets, codebooks, and documentation. The Data Engineer will also supervise student research assistants.

Contingent upon grant funding.

Job Responsibilities

Data Infrastructure and Management

  • Develop robust data cleaning and validation pipelines with comprehensive error checking.
  • Create and maintain metadata standards and documentation systems for research datasets.
  • Collaborate with IT team on cloud infrastructure migration and data security protocols.
  • Design and implement systematic approaches to data quality assurance and control.
  • Build processes for integrating multi-site datasets into master research databases.
  • Establish version control and reproducible workflows for all data processing activities.

Advanced Analytics and Machine Learning

  • Apply machine learning and advanced statistical techniques to research questions.
  • Develop predictive models and analytical frameworks for longitudinal data.
  • Create data visualizations.
  • Conduct complex data linkage and matching between survey and administrative datasets.
  • Support multiple research studies with timely, high-quality analytical deliverables.
  • Research Collaboration, Supervision, and Communication

  • Collaborate with center leadership and research scientists on study design and methodology.
  • Translate complex technical concepts for diverse stakeholder audiences.
  • Contribute to grant proposals, white papers, and peer-reviewed publications.
  • Present findings to academic, policy, and media audiences.
  • Participate in research team meetings and project planning activities.
  • Supervise student research assistants as needed.
  • Project Management

  • Develop and manage timelines for data cleaning.
  • Other Duties

  • Must support SP2 Graduation and Commencement activities.
  • Qualifications

  • Bachelor of Science and 3 to 5 years of experience or equivalent combination of education and experience is required.
  • Preferably in computer engineering, information systems, or a related field; an advanced graduate degree is preferred.
  • Minimum of 1-2 years of professional experience in data engineering, cloud platforms, or database is mandatory. Demonstrated expertise in coding and programming in both SQL and Python, data warehousing, machine learning, cloud computing, data integration tools, and data security.
  • Additional requisite skills include strong critical thinking, interpersonal, communication, problem-solving skills, and experience supervising.
  • Hybrid position requires 2-3 days per week in-person on campus.
  • Contingent upon grant funding.
  • Job Location

    Philadelphia, Pennsylvania

    Department / School

    School of Social Policy and Practice

    Pay Range

    $70,500.00 – $95,000.00 Annual Rate

    Equal Opportunity Statement

    The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law.

    Special Requirements

    Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

    University Benefits

  • Health, Life, and Flexible Spending Accounts
  • Comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits.

  • Tuition
  • Tuition assistance for you, spouse, and dependent children at Penn and other institutions.

  • Retirement
  • Generous retirement plans including Basic, Matching, and Supplemental plans through TIAA and Vanguard.

  • Time Away from Work
  • Substantial vacation and personal leave.

  • Long-Term Care Insurance
  • Partnership with Genworth Financial offering insurance without underwriting for new hires.

  • Wellness and Work-life Resources
  • Programs and resources supporting health and work-life balance.

  • Professional and Personal Development
  • Resources to advance professionally and personally.

  • University Resources
  • Access to libraries, athletic facilities, and cultural activities.

  • Discounts and Special Services
  • Discounts on arts, entertainment, transportation, mortgages, etc.

  • Flexible Work Hours
  • Non-traditional work hours, locations, and job structures.

  • Penn Home Ownership Services
  • Forgivable loan for home buying or improvements.

  • Adoption Assistance
  • Reimbursement for adoption-related expenses.

    To learn more, please visit https : / / www.hr.upenn.edu / PennHR / benefits-pay

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    Data Engineer • Custer, SD, US

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