Data Engineer - Rates & Load Forecasting Systems

NextEra Energy

14d

About The Position

Florida Power & Light Company is the largest electric utility in the U.S., providing reliable energy to nearly 12 million Floridians. With one of the nation’s most fuel-efficient, cost-effective power generation fleets and industry-leading reliability, we’re redefining what’s possible in energy. Want to be part of something powerful? Join our outstanding team and help shape the future of energy. This position supports the Rates & Load Forecasting Systems team responsible for designing, developing, and maintaining automated data pipelines and analytical infrastructure used by the Rates & Load Forecasting teams. The Data Engineer builds and optimizes data flows from multiple enterprise and external sources to ensure clean, reliable, and timely access to data for regulatory filings, rate design, and forecasting models. The role requires strong technical expertise in SQL, Python, and ETL design, along with a working understanding of business processes supporting regulatory and financial analysis. Job Overview Employees in this role develop and maintain automated data pipelines and systems that support the company’s rate design, load forecasting, and reporting operations. The position ensures high data quality, efficient processing, and continuous improvement in automation and scalability.Job OverviewThis position implements and maintains on-premises and cloud-based company and product data infrastructure, including relational databases, non-relational databases and any other data stores required by the company or its products. Employees in this role are responsible for creating processes and implementing software to facilitate management of data including, but not limited to, data pipelines, data catalogs and overall data quality.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related technical field.
2–4 years of experience in data engineering or analytics development.
Proficiency in SQL and Python
Experience with relational databases and cloud-based data platforms
Understanding of data governance, version control, and CI/CD practices.
Strong analytical and problem-solving skills with attention to detail.
Bachelor's Degree
Experience: 2+ years

Nice To Haves

Deep knowledge of customer service and metering domains; experience modeling revenue and forecasting
Programming skills in SQL, Python, R; experience with Git and software engineering best practices
Familiarity with data warehousing strategies (e.g., EDP, SAP) and customer service, metering, and accounting systems
Experience with AWS, PostgreSQL, shell scripting; big data/distributed computing
Experience with machine learning and AI; common industry analytical tools and techniques
Understanding of rates and revenue forecasting; ability to coordinate across multiple internal and external SMEs
None

Responsibilities

Design, develop, and maintain automated ETL (Extract, Transform, Load) pipelines to support rate and forecasting data needs.
Integrate data from enterprise systems (e.g., SAP, AMI, billing, financials) into structured analytical environments.
Implement data validation and monitoring frameworks to ensure accuracy and reliability.
Optimize query performance, storage structures, and refresh schedules to improve reporting efficiency.
Collaborate with forecasting, rate design, and reporting teams to translate analytical requirements into scalable data solutions.
Maintain version-controlled code repositories and technical documentation.
Support automation of recurring processes using scripting and orchestration tools.
Work with big data and distributed computing platforms; perform other job‑related duties as assigned.
Manages data acquisition and ingestion
Manages and optimizes data access
Designs, plans, implements and supports data infrastructure using both relational and non-relational data management solutions
Tests, validates and maintains data quality across all parts of data infrastructure
Maintains and manages data pipelines and data catalogs
Responds to data extraction requests
May perform database administration-related activities
Monitors health of data infrastructure
Performs other job-related duties as assigned