2026 Associate Data Engineer
Eversource EnergyAbout the role
Associate Data Engineer
Job Description
The Associate Data Engineer will help support, operate, and maintain the company’s Distributed Energy Resource Management System (DERMS) and supporting data systems. As a member of the Grid Modernization team, you will help the company evolve the operation of its DERMS and support the company Electric Sector Grid Modernization Plan (ESMP). The Associate Data Engineer will be responsible for designing, building, and maintaining the data pipelines and infrastructure that support the department’s data analytics and data science initiatives. The candidate should have a background in data engineering and should be comfortable working with large and complex datasets. You’ll be supporting groundbreaking efforts to improve grid reliability, resilience, and effectively integrate renewable energy resources into day-to-day power system operations. Primary duties are to assess, maintain, and support the use of DERMS software forecasting and optimization functions, DER dispatch capabilities, software upgrades, to ensure functionality for distribution system operators, and to validate, explain, and improve DERMS forecast and optimization results. This role will help integrate DERMS and dispatching DERs based on real-time conditions into the day-to-day roles of utility operations. This role also involves obtaining, analyzing, and reporting on data required by and recorded in DERMS.
This Associate Data Engineer will report to the Grid Modernization Technology department, which is responsible for overseeing several large-scale grid modernization projects central to Eversource’s ESMP. You will work closely with the Senior Data Engineer and Lead Engineer and the teams responsible for each of these projects by maintaining, supporting, and testing new features of the DERMS software as they are released, as well as possible other software to optimize the distribution system. Ideal candidates will have a Bachelor's Degree in Data Science, Engineering, Computer Science or related quantitative field.
The ideal candidate has a focus on data science and has familiarity with power systems analysis. This person thrives on complexity and problem solving. This person is detail oriented, embraces change, and helps inspire others to move utility work and team members into our future vision of a grid supported by renewable energy. This person is ready to move from searching for distribution system data in multiple sources and instead ensures that complex IT systems function optimally to allow system operators, engineers, and others to analyze the distribution grid quickly and efficiently.
Essential Functions
- Design and implement scalable and efficient data pipelines to ingest, process, and store data from various sources.
- Build and maintain data infrastructure, including databases, data lakes, and data warehouses.
- Design and develop data visualization dashboard to showcase trends and patterns in device operation, asset management, and system status
- Clean, preprocess and prepare data for use in machine learning models and implement data quality checks, to ensure the data is accurate and usable.
- Monitor and optimize data pipelines for performance and efficiency.
- Work with data governance and security teams to ensure compliance with relevant regulations and policies.
- Develop and maintain documentation for data pipelines and infrastructure.
- Collaborate with multiple cross-functional groups in developing new procedures for integrating and enabling two-way communication of new technologies, including photovoltaic solar (PV), electric vehicles (EV), and battery storage.
- Conducts distribution forecast studies to validate DERMS forecasting result for day-ahead and week-ahead load and generation forecasts.
- Partners with other departments (Distribution Engineering, DER Planning, Energy Efficiency, Control Room, etc.) to enable DERMS use cases.
- Effective communication, support and implementation with new processes associated with DERMS
- Participates in coordinating multiple cross-functional groups
- Presents recommendations and/or results to all levels of management as appropriate.
- Complete/advise on data cleanup, validation, and testing with a focus on accuracy, efficiency, and future growth.
- Conduct ad-hoc analyses to answer questions supporting team projects
- Own longer-term analyses and reports designed to assess grid e
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