Senior Data Management Engineer

NextEra Energy•Juno Beach, FL

About The Position

We are building a next-generation People Analytics function focused on delivering predictive, AI-enabled workforce intelligence at scale. This role will be foundational in architecting and building the data infrastructure that powers advanced analytics, AI use cases, and strategic workforce decision-making across the enterprise. This position designs, develops, and maintains workforce data solutions that support People Analytics, workforce intelligence, and AI-enabled decision-making capabilities. Employees in this role are responsible for building and optimizing data pipelines, integrated workforce data models, semantic layers, and analytics-ready datasets that enable trusted reporting, self-service analytics, predictive insights, and future AI applications. The role partners with HR, analytics, technology, and business teams to deliver scalable data products and ensure the quality, accessibility, and reliability of workforce data. This 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
4+ years of experience

Responsibilities

Designs, develops, and maintains workforce data pipelines and integrations across HR, talent, operational, and enterprise systems
Builds and enhances analytics-ready workforce data models, semantic layers, calculation views, and governed datasets
Develops and maintains workforce data solutions within an SAP ecosystem (SuccessFactors, SAP HANA, S/4HANA, Power BI), while partnering with broader IT and technology teams to evaluate and leverage additional data platforms in support of AI-enabled use cases.
Integrates and blends workforce, operational, and enterprise datasets to create enriched, analytics-ready data products that enable actionable, cross-functional insights.
Applies data science techniques — including statistical modeling, feature engineering, and exploratory data analysis — to support predictive workforce analytics and AI use case development.
Contributes to the evaluation and strategic roadmap of the People Analytics technology stack, identifying emerging platforms and tools that advance AI-enabled workforce intelligence capabilities.
Ensures data quality, consistency, lineage, and reliability across People Analytics data assets
Supports development and maintenance of workforce metrics, KPIs, dashboards, and self-service analytics capabilities
Partners with HR, analytics, and business stakeholders to understand requirements and deliver scalable data solutions
Monitors, troubleshoots, and optimizes data pipelines and data infrastructure performance
Contributes to data governance, metadata management, and workforce data standards
Supports predictive analytics, workforce intelligence, and AI-enabled analytics initiatives through high-quality data architecture and engineering practices
Documents solutions, processes, and technical designs to support maintainability and scalability
May mentor junior team members and contribute to project leadership
Performs 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
Mentors others or leads teams and/or projects
May perform database administration-related activities
Monitors health of data infrastructure
Performs other job-related duties as assigned