Sr. Data Engineer - Hybrid; Andover, MA

Description and Requirements

Enel North America is a proven renewables leader delivering clean, flexible and sustainable energy solutions. As part of the Enel Group, we develop, build, own and operate renewable power plants and demand response solutions, with over 11 gigawatts (GW) of installed wind and solar capacity, over 1 GW of energy storage and nearly 5 GW of demand response in the US and Canada.

For nearly 25 years, we've reliably powered modern life and driven climate action with our people, partners and communities by putting sustainability at the center of everything we do. Enel is a top-five industry leader for clean power capacity in the US, demand response in North America and utility‑scale battery storage in Texas. We are a smart and passionate team working together to build the Enel North America that we want for the long‑term—one that is founded on strong financial, social and environmental values.

Being on our team means being part of lasting progress to create a thriving and more sustainable world for our climate and communities. It means valuing safety, trust, innovation, proactivity, flexibility and respect in all we do. Our vision is ambitious, and we'll get there together.

Enel Green Power Operations and Maintenance seeks a Senior Data Engineering Specialist to manage ETL, integration, and analytics projects, supporting both O—M and other business lines. The role focuses on data quality, reliable ETL solutions, and actionable analytics. The ideal candidate combines technical expertise with strong problem‑solving skills and a passion for turning data into business insights.

• Develop and manage ETL (Extract, Transform, Load) processes to ingest data from various sources with tools such as Python, Airflow, and Dagster.
• Integrate structured and unstructured data from internal and external systems.
• Lead automation of data workflows and ensure data quality and consistency.
• Administer and optimize large‑scale databases (Postgre
  
  SQL, MSSQL, No
  
  SQL).
• Identify and resolve bottlenecks in data processing and storage.
• Optimize queries and data flows for efficiency and scalability.
• Lead development of data structures within AVEVA PI System.
• Work closely with data scientists, analysts, and business stakeholders to understand data requirements.
• Translate business needs into technical solutions.
• Provide technical leadership to empower end users across the organization.
• Collaborate on technical solutions with other business organizations (i.e., IT & SCADA).
• Research and implement the use of AI within data engineering applications.

• Strong coding skills in a high‑level language such as Python or R.
• Strong SQL skills.
• Experience developing with APIs.
• Experience with cloud‑based environments (AWS and Azure).
• Experience with data lakes and large‑scale data pipelines.
• Fundamental understanding of data storage and processing techniques.
• ETL pipelines with tools such as Airflow, Dagster, or similar.
• Experience with Power BI, Tableau, or similar BI tool.
• Proficiency in Microsoft Office.

• Project management skills.
• Experience with Machine Learning and/or AI data techniques.
• Experience in developing or administering AVEVA PI platform, PI Asset Framework, and PI Web API, preferably within the power/utility industry.
• Experience in PI Suite and/or other real‑time data systems.

• Bachelor’s (Master’s a plus) in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or computer science).
• Minimum of 3‑5 years of working with databases, administrative or end user.

Enel North America is dedicated to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, national origin, citizenship, age, disability, sexual orientation, genetic information. We will not discriminate, in any employment decision, against any individual or group on the basis of race, color, religion, sex, gender, national origin, citizenship, age, disability, sexual orientation, genetic information, or…