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Research Data Engineer Computational Social Science Lab

Employer
University of Pennsylvania
Location
Philadelphia

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Administrative Jobs
Academic Affairs, Research Staff & Technicians
Employment Type
Full Time
Institution Type
Four-Year Institution

Job Details



Research Data Engineer Computational Social Science Lab

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.

Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.

The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.

Posted Job Title
Research Data Engineer - Computational Social Science Lab

Job Profile Title
Data Analyst D

Job Description Summary
The Computational Social Science Lab will host the research initiatives of Duncan Watts, a University Professor affiliated with the School of Engineering and Applied Science, Wharton School, and Annenberg School for Communication. Combining their resources within the Penn Integrates Knowledge Program, the schools will support the Lab's projects in the rapidly emerging field of computational social science (CSS).

The Lab will build an innovative data infrastructure of high-quality data on phenomena of social importance from multiple providers, which implies a complex data collection and validation component. To promote mass collaboration in an open-science format among research teams from academy and industry, the Lab needs to ensure secure but flexible access to these data.

The Research Data Engineer will manage the ingestion and processing of data from external providers, implement data quality assurance procedures, manage relationships with Amazon's AWS and other external computing clusters, and supervise third party developers.

Job Description

The Research Data Engineer for the Computational Social Science Lab will:
  • Manage the ingestion of data from external providers
  • Develop and implement rigorous data validation procedures within and across datasets from various providers
  • Design and implement cost-effective procedures for organizing, documenting, cleaning, and storing datasets
  • Administer Watts-Lab AWS and similar external computing clusters
  • In coordination with research project managers, maintain data processing pipelines and ensure the delivery of clean and validated data within project timelines
  • Design, build, and maintain the backend of the Lab's websites and dashboards
  • Supervise third party developers of the Lab's data infrastructure


Qualifications:

Bachelor's degree in computer science, software engineering, or related field and 3-5 years of work experience in data management, data-intensive research projects, and collaboration with software developers. A subject matter expert in one or more technical areas: data architecture, data engineering within “big data” systems such as Hadoop and SQL. Advanced working knowledge of SQL and relational databases, and familiarity with data architecture optimization in RDBMS. Working knowledge of a range of AWS products and experience with cloud-related technologies such as S3, EC2, EMR, IAM policies, Athena, Glue. Experience with a range of object-oriented languages such as Python and R. Strong organizational skills and an ability to manage multiple complex tasks with diverse audiences and varying deadlines.
Experience with assembling and processing natural language datasets and Experience with streaming technologies such as Kafka, Flink, or Spark Streaming preferred.

Job Location - City, State
Philadelphia, Pennsylvania

Department / School
School of Engineering and Applied Science

Pay Range
$59,703.00 - $168,837.00

Affirmative Action Statement
Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.

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


To apply, visit https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/3401-Walnut-Street-A-Wing---5th-Floor/Research-Data-Engineer---Penn-Center-for-Computational-Social-Science_JR00026069





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Organization

Welcome to the University of Pennsylvania! Penn is the largest private employer in Philadelphia and is a world-renowned leader in education, research, and innovation.  

Across our 12 highly-regarded schools, more than 25,000 students, and more than 4,000 faculty members, we become one university: a wide-ranging, ever-changing community that draws its strength from a multitude of races, ethnicities, genders, sexual orientations, historical traditions, ages, religions, disabilities, veteran status, interests, perspectives, and socioeconomic backgrounds. 

Penn carries on the principles and spirit of its founder, Benjamin Franklin: entrepreneurship, innovation, invention, outreach, and a pragmatic love of knowledge. Franklin's practical outlook has remained a driving force in the university's development. To learn more, visit About Penn

Vision

 

As engines of knowledge and new ideas, universities have the unique potential to define the future rather than be defined by it; to pioneer change rather than merely manage it. To do so requires a plan both visionary and pragmatic. The Penn Compact 2022 motivates community members to innovate, be radically inclusive, and positively impact their local, national, and global communities. 

 

Penn’s fundamental priorities — increasing access, integrating knowledge and engaging locally, nationally and globally — are supported by the three core values that make us uniquely Penn: inclusion, innovation, and impact. 

 

Learn about the signature initiatives of the Penn Compact 2022:  

 

Diversity 

 

Understanding and appreciating diversity is one of Penn's most important priorities and is fundamental to success in today's world. 

 

Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class. 

 

To learn more about Diversity and Inclusion at Penn visit: 

 

Benefits 

 

Penn offers a wide range of benefits and perks - from Penn's retirement Matching Plan to bike repair stations to access to the full LinkedIn Learning library to adoption assistance to workshops at the letterpress and book arts studio and much more! 

 

Campus and Beyond

 

We invite you to explore our campus and its stately buildings and state-of-the-art facilities. 

 

Try our self-guided tour! Come and visit

 

Learn about sustainability at Penn

 

News 

 

Stay up-to-date with Penn's response to COVID-19: Coronavirus Information & Resources

 

Penn supports news publications that tell the ongoing story of the University community, communications services for external media, telephone and video services, and other media resources: Campus Media 

 

Connect with us!  

 

Instagram: @uofpenn 

Twitter: @Penn 

 

 

Company info
Telephone
(215) 898-7372
Location
3451 Walnut Street
Philadelphia
PA
19104
US

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