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Data Engineer Co-op (Hybrid)Southern Arkansas University • New York, New York, United States
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Data Engineer Co-op (Hybrid)

Southern Arkansas University
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

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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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  • New York, New York, United States

Compétences linguistiques

  • English
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