2026 Associate Data Engineer

Eversource Energy•Windsor, CT

23h•$83,010 - $92,230

About The Position

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.

Requirements

Technical Knowledge/Skill: Knowledge of data management best practices.
Exceptional written and oral communication skills.
Ability to use PC desktop applications (e.g., Excel, Powerpoint).
Experience with programming/scripting languages (e.g., SQL, R, and Python) for data analysis, data visualization and modeling.
Work includes data entry, data manipulation, data analysis, technical writing, editing, planning, evaluating, interpreting, organizing, consulting, analyzing, designing, documenting, specifying, coordinating, implementing, and presenting.
Excellent collaboration and team player skills, positive attitude, adaptability, and problem-solving ability.
Ability to achieve desired results by setting high standards for self and others, and accepts responsibility for outcomes.
Maintains accurate records and files.
Supports the company's goals and represents the company positively and professionally.
Education: Bachelor's Degree in Data Science, Engineering, Computer Science or related quantitative field.
Experience: 0-3 years of experience as a Data Engineer or similar role.
Experience with scripting languages such as R, Python, or a similar language.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.

Nice To Haves

Knowledge of electrical theory as applied to planning an electric power supply system preferred
Knowledge of Power BI preferred
Advanced degree preferred.
Experience with data pipeline and data integration tools preferred
Experience with SQL and database technologies (e.g., Oracle, MySQL, PostgreSQL,) preferred
Experience with data storage and processing technologies and data bricks preferred
Understanding of technology platforms including FME, Informatica, & Power BI is preferred.
Knowledge of or experience working with utility companies is desirable.

Responsibilities

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 enhancement projects
Clearly document and explain analyses
Learn the domain and understand capabilities and technologies
Identify opportunities for improvement and recommend solutions
Obtain, clean, and report on data required by and recorded in DERMS.
Oversee software integration updates and implementation to support DERMS processes
Design, create prototypes, develop, deploy, and support Power BI dashboards and reports that meet business and technical requirements.
Publish and schedule Power BI reports and data sources.
Support internal and external tracking and reporting requirements, including reporting of metrics related to the achievement of project benefits.