Research Data Engineer, Computational Social Science Lab
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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.
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
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
Department / School
School of Engineering and Applied Science
$59,703.00 - $168,837.00
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