Data Engineer Co-op (Hybrid)

Southern Arkansas University

Pennsylvania

Hybrid

USD 25,000 - 34,000

Full time

14 days+
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Job summary

A university in Pennsylvania is seeking a co-op student for a data engineering position in their Data and Analytics division. The role involves assisting in capturing requirements, developing solutions, and creating data pipelines. Candidates should be self-motivated with a willingness to learn, and familiarity with Python and SQL is preferred. This hybrid position requires a commitment to 40 hours per week from March 30, 2026 to September 18, 2026.

Qualifications

  • Self-motivated and able to work independently
  • Ability to translate business requirements into technical specifications
  • Willingness to learn new concepts and grow technical skills
  • Familiarity with data analysis and modeling concepts (preferred)

Responsibilities

  • Assist analytics support leads with capturing business requirements and developing use case solutions
  • Integrate internal business data and refine visuals/metrics for D&A dashboard
  • Assist senior data engineers in creating data pipelines to load data
  • Learn and implement data engineering standards and practices
  • Research and assist with features of tools like Databricks and Azure Data Factory
  • Use software to analyze data sets
  • Analyze system performance data and troubleshoot issues
  • Assist Data Governance staff in root cause analysis
  • Work with stakeholders to document requirements

Skills

Self-motivated
Ability to work independently
Willingness to learn
Knowledge of Python
Familiarity with SQL
Experience with Power BI
Experience with Tableau
Data analysis experience
Data modeling knowledge
ETL concepts understanding

Education

Pursuing degree in data science or related field

Tools

Databricks
Azure Data Factory
Azure Purview

Job description

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PJM Interconnection is a regional transmission organization (RTO) that plays a vital role in the U.S. electric system. PJM ensures the reliability of the largest centrally dispatched control area in North America by coordinating the movement of electricity in all or parts of 13 states. PJM, acting neutrally and independently, operates the largest competitive wholesale electricity market in the world. PJM manages a sophisticated regional planning process for generation and transmission expansion to assure future electric.

The position is for PJM’s overall Data and Analytics efforts which are managed between the Corporate Data Management Department and Analytics Support departments. Corporate Data Management is responsible for PJM’s overall Data Governance and Master Data Management efforts. Analytics Support is responsible for assisting with, building tools for and guiding analytics effort through PJM.

This position allows students to learn the basic concepts of data engineering and work in a team with senior data engineers to further PJM's Data and Analytics efforts that increase the capabilities for advanced analytics, AI and machine learning. Students will work with technology such as Databricks, Azure Purview, Azure Data Factory and data quality tools to create and manage data pipelines, manage metadata, ensure high quality data and create visualizations.

Job Responsibilities
  • Assist analytics support leads with capturing business requirements and developing use case solutions
  • Integrate internal business data and refine visuals / metrics for D&A dashboard
  • Assist senior data engineers in creating data pipelines to load data from source data sources to PJM’s Data lake
  • Learn and implement data engineering standards and practices in work products
  • Research and assist with new features of tools like Databricks, Azure Data Factory and Data Governance tools
  • Use software to interrogate data sets for analysis
  • Learn to analyze system performance data and help troubleshoot issues
  • Assist Data Governance staff in performing root cause analysis on data anomalies and work on resolutions
  • Work with stakeholders to understand and document requirements
Required and Experience
  • Self‑motivated and the ability to work independently
  • Able to translate business requirements into technical specifications
  • Willingness to learn new concepts and grow technical skills
Preferred Skills and Experience
  • Some knowledge of Python, SQL, Power BI, Tableau or similar tools
  • Some experience in data analysis
  • Some experience in data modeling and ETL concepts

PLEASE NOTE THAT THIS SESSION RUNS FROM 3/30/2026 UNTIL 9/18/2026. IF YOU CANNOT COMMIT TO EMPLOYMENT FOR THE SESSION IN ITS ENTIRETY AND/OR NEED TO END THE SESSION EARLIER THAN THE END DATE OF 9/18/2026, PLEASE DO NOT APPLY. All PJM Interconnection co‑op positions are contracted for 40 hours per week. If you are not able to make this time commitment please do not apply.

PJM’s uses a third‑party vendor to hire student workers. If you are hired for this position, DZConneX will be your employer and should be the only employer listed on your I‑20, if hired.

This co‑op position is hybrid.

PJM will not be providing Housing/Transportation assistance, the successful candidate must be able to come on‑campus when needed.

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