Requisition ID:  97609 Florida Power &amp; 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. Position Specific DescriptionWe are seeking a hands-on Lead Data Engineer to architect and deliver enterprise-grade data and AI products that power an executive intelligence platform. The role sits within Marketing &amp; Communications but supports broader enterprise use cases. This person will lead technical design, mentor engineers, and quickly move data products and AI applications from development through QA and into production while maintaining reliability, security, governance, explainability, and cost discipline. KEY RESPONSIBILITIES<ul><li>Design, build, test, deploy, and operate Databricks pipelines, Jobs, Delta tables, and reusable ingestion frameworks using Python, PySpark, and SQL.</li><li>Lead data architecture, engineering standards, code reviews, and mentoring while rapidly productionizing prototypes through Git, CI/CD, automated testing, environment promotion, release validation, monitoring, and rollback practices.</li><li>Integrate structured, semi-structured, and unstructured data from internal systems, databases, APIs, files, documents, vendor feeds, public sources, and event streams.</li><li>Build resilient, governed integrations with secure authentication, pagination, rate-limit handling, retries, schema management, data contracts, lineage, quality controls, observability, and recovery procedures.</li><li>Engineer production AI workflows using prompt templates and versioning, scheduled or event-triggered prompt execution, RAG, vector search, knowledge graphs, agent and tool orchestration, and Databricks LLM applications.</li><li>Build explainable decision systems that combine business rules, algorithms, model outputs, confidence thresholds, and human review; implement evaluation, guardrails, tracing, and performance monitoring.</li><li>Optimize Databricks compute and cloud storage costs through workload right-sizing, efficient job design, autoscaling and auto-termination, table and file optimization, retention policies, and ongoing spend monitoring.</li><li>Partner across data science, product, DevOps, security, architecture, and business teams; communicate clearly, surface risks early, and drive practical solutions.</li></ul>

NextEra Energy, Inc. (NYSE: NEE) is a leading clean energy company headquartered in Juno Beach, Florida. NextEra Energy owns two electric companies in Florida: Florida Power &amp; Light Company, which serves more than five million customer accounts in Florida and is the largest rate-regulated electric utility in the United States as measured by retail electricity produced and sold; and Gulf Power Company, which serves more than 460,000 customers in eight counties throughout Northwest Florida. NextEra Energy also owns a competitive energy business, NextEra Energy Resources, LLC, which, together with its affiliated entities, is the world&rsquo;s largest generator of renewable energy from the wind and sun and a world leader in battery storage. Through its subsidiaries, NextEra Energy generates clean, emissions-free electricity from eight commercial nuclear power units in Florida, New Hampshire, Iowa and Wisconsin. A Fortune 200 company and included in the S&amp;P 100 index, NextEra Energy has been recognized often by third parties for its efforts in sustainability, corporate responsibility, ethics and compliance, and diversity. NextEra Energy is ranked No. 1 in the electric and gas utilities industry on Fortune&rsquo;s 2019 list of &ldquo;World&rsquo;s Most Admired Companies&rdquo; and ranked among the top 25 on Fortune&rsquo;s 2018 list of companies that &ldquo;Change the World.&rdquo;

Lead Data Engineer

Requisition ID:  97609 Florida Power &amp; 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. Position Specific DescriptionWe are seeking a hands-on Lead Data Engineer to architect and deliver enterprise-grade data and AI products that power an executive intelligence platform. The role sits within Marketing &amp; Communications but supports broader enterprise use cases. This person will lead technical design, mentor engineers, and quickly move data products and AI applications from development through QA and into production while maintaining reliability, security, governance, explainability, and cost discipline. KEY RESPONSIBILITIES<ul><li>Design, build, test, deploy, and operate Databricks pipelines, Jobs, Delta tables, and reusable ingestion frameworks using Python, PySpark, and SQL.</li><li>Lead data architecture, engineering standards, code reviews, and mentoring while rapidly productionizing prototypes through Git, CI/CD, automated testing, environment promotion, release validation, monitoring, and rollback practices.</li><li>Integrate structured, semi-structured, and unstructured data from internal systems, databases, APIs, files, documents, vendor feeds, public sources, and event streams.</li><li>Build resilient, governed integrations with secure authentication, pagination, rate-limit handling, retries, schema management, data contracts, lineage, quality controls, observability, and recovery procedures.</li><li>Engineer production AI workflows using prompt templates and versioning, scheduled or event-triggered prompt execution, RAG, vector search, knowledge graphs, agent and tool orchestration, and Databricks LLM applications.</li><li>Build explainable decision systems that combine business rules, algorithms, model outputs, confidence thresholds, and human review; implement evaluation, guardrails, tracing, and performance monitoring.</li><li>Optimize Databricks compute and cloud storage costs through workload right-sizing, efficient job design, autoscaling and auto-termination, table and file optimization, retention policies, and ongoing spend monitoring.</li><li>Partner across data science, product, DevOps, security, architecture, and business teams; communicate clearly, surface risks early, and drive practical solutions.</li></ul>

Lead Data Engineer

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About the Company

NextEra Energy

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