Data Engineering Lead, Data Platforms & Analytics

Florida Power & Light

North Palm Beach (FL)

On-site

USD 110,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Relocation provided

Job summary

Palms Insurance, a NextEra Energy company, seeks a Data Engineering Manager to lead the Data Processes, Data Applications, and Data Engineering team. You will oversee the Palms Data Warehouse, Power BI reporting, and data integration across internal and third-party systems.

The ideal candidate solves complex software and data analytics challenges, prioritizes multiple initiatives, and communicates with both technical and non-technical stakeholders to drive reliable, scalable data solutions.

Qualifications

  • High School Grad / GED
  • Bachelor's or Equivalent Experience
  • 8+ years of experience in data engineering or related field

Responsibilities

  • Lead team of Product Services Engineers including managing workflow, setting goals, and assessing performance
  • Leverage advanced analytical and problem-solving skills to take on multiple projects that drive process improvements and customer satisfaction
  • Drive resolution of complex production issues, including escalation, system testing, strategy sessions, and distribution of knowledge throughout the company
  • Communicate customer technology goals to influence product roadmaps to meet business needs
  • Communicate technical issues to non-technical customers in a timely and accurate way, via phone, email, or chat
  • Performs other job-related duties as assigned

Job description

Palms Insurance, a NextEra Energy company, seeks a Data Engineering Manager to lead the Data Processes, Data Applications, and Data Engineering team. You will oversee the Palms Data Warehouse, Power BI reporting, and data integration across internal and third-party systems.

The ideal candidate solves complex software and data analytics challenges, prioritizes multiple initiatives, and communicates with both technical and non-technical stakeholders to drive reliable, scalable data solutions.

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