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Data Jobs in Jupiter, FL (NOW HIRING)

This role involves close collaboration with data engineers and business stakeholders to build and operationalize production-grade AI systems using AWS and cutting-edge LLM frameworks. Core ...

Position : Data Scientist Location : Onsite - 5 Days / Week - Juno Beach Florida JD:- Principal Data Scientist - Load & Renewable Generation Forecasting Position Specific Description The IT ...

This role involves close collaboration with data engineers and business stakeholders to build and operationalize production-grade AI systems using AWS and cutting-edge LLM frameworks. Core ...

Data Engineer

West Palm Beach, FL · On-site

$110K - $133K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Entry

West Palm Beach, FL · On-site

$15 - $20/hr

Paid time off Job Summary We are seeking a Data Entry Clerk to join our team. In this role, you will accurately transfer information into our database systems, create listings and manage the accuracy ...

Data Engineer

Lake Worth, FL · On-site

$102K - $122K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Entry

West Palm Beach, FL · On-site

$15 - $20/hr

Paid time off Job Summary We are seeking a Data Entry Clerk to join our team. In this role, you will accurately transfer information into our database systems, create listings and manage the accuracy ...

Data Entry

West Palm Beach, FL · On-site

$15 - $20/hr

Paid time off Job Summary We are seeking a Data Entry Clerk to join our team. In this role, you will accurately transfer information into our database systems, create listings and manage the accuracy ...

Must have a FLORIDA ADDRESS Enterprise Data Analyst The Enterprise Data Analyst (DA) is a key technical liaison between the Enterprise Data Platform (EDP) and various NEE business units. This role ...

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field ...

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field ...

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field ...

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Data information

See Jupiter, FL salary details

$45K

$161.4K

$238.1K

How much do data jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data in Jupiter, FL is $161,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,500.00 and $166,200.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
What are the most commonly searched types of Data jobs in Jupiter, FL? The most popular types of Data jobs in Jupiter, FL are:
What are popular job titles related to Data jobs in Jupiter, FL? For Data jobs in Jupiter, FL, the most frequently searched job titles are:
What job categories do people searching Data jobs in Jupiter, FL look for? The top searched job categories for Data jobs in Jupiter, FL are:
What cities near Jupiter, FL are hiring for Data jobs? Cities near Jupiter, FL with the most Data job openings:
Infographic showing various Data job openings in Jupiter, FL as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $161,359 per year, or $77.6 per hour.

Other

Posted 22 days ago


NextEra Energy rating

8.3

Company rating: 8.3 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

24th of 53 rated energy and utility


Job description

Requisition ID:  95280 

NextEra Energy Resources is one of America's largest wholesale electricity generators, harnessing diverse energy sources to power progress. We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help customers achieve their energy goals. Ready to make a lasting impact? Take the next step in your career with us!

Position Specific Description

We are seeking a Data Scientist with strong expertise in Machine Learning (ML) and Generative AI (LLMs) to design, develop, and deploy intelligent, data-driven solutions within a modern cloud environment. 
This role involves close collaboration with data engineers and business stakeholders to build and operationalize production-grade AI systems using AWS and cutting-edge LLM frameworks. 

Core Responsibilities 

  • Design, develop, and deploy machine learning and generative AI models to address complex business challenges and enhance decision-making. 
  • Implement Retrieval-Augmented Generation (RAG) and semantic search pipelines that integrate large language models with enterprise data sources. 
  • Apply prompt engineering, embedding techniques, and model fine-tuning using frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers. 
  • Collaborate with engineering teams to ensure scalable data ingestion, ETL/ELT workflows, and model deployment across cloud environments. 
  • Communicate technical insights and analytical results clearly to both technical and non-technical audiences. 
  • Contribute to Agile development processes and maintain code through Git/GitHub, CI/CD automation, and infrastructure-as-code (CloudFormation or equivalent). 
  • Preferred Qualifications 
  • 2+ years of hands-on experience with Large Language Models (LLMs) or Generative AI, such as GPT, Claude, Llama, or Mistral. 
  • Proficiency in Python and key libraries including pandas, NumPy, scikit-learn, PyTorch, and TensorFlow. 
  • Experience implementing RAG architectures, vector databases (e.g., Pinecone, FAISS, Weaviate), or LLM orchestration frameworks (e.g., LangChain, Semantic Kernel, CrewAI, LangGraph). 
  • Practical experience working with AWS services (SageMaker, Lambda, S3, RDS, etc.). 
  • Strong foundation in statistics, linear algebra, and optimization for model design and evaluation. 
  • Experience creating insightful data visualizations using Tableau, Power BI, Plotly, or matplotlib. 
  • Familiarity with big data technologies such as Spark, Databricks, or Snowflake. 
  • Deep understanding of machine learning algorithms, data preprocessing, and model evaluation techniques. 
  • Strong problem-solving abilities with a focus on reproducibility, scalability, and model governance. 
  • Excellent communication skills, with the ability to translate complex analytical findings into actionable business insights. 
  • Demonstrated curiosity and enthusiasm for staying current with advances in AI, Generative AI, and ML infrastructure. 
  • Proven ability to work effectively in Agile and cross-functional team environments. 

Nice to Have 

  • Experience with multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen). 
  • 2+ years of experience in applied data science or machine learning. 
  • At least 1 year of direct, hands-on experience developing or deploying LLMs or Generative AI systems. 
  • Demonstrated experience with working with MLOps engineers to deploying, monitoring, and maintaining production ML models using cloud platforms. 
  • Knowledge of energy market data, time-series forecasting, or optimization modeling. 
  • Familiarity with reinforcement learning, probabilistic modeling, or stochastic optimization techniques. 
Job Overview

This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (e.g. "Big Data").

Job Duties & Responsibilities
  • Develops machine learning, optimization and other modeling solutions
  • Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses
  • Works with a variety of datasets, including timeseries data and "big data" requiring analysis on distributed computing platforms
  • Writes software in R, Python or similar languages and contributes code to product development teams
  • Performs other job-related duties as assigned
Required Qualifications
  • Bachelor's Degree
  • Experience: 2+ years
Preferred Qualifications
  • Master's Degree
  • Doctoral Degree

NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more.

Employee Group:  Exempt
Employee Type:  Full Time
Job Category:  Science, Research, and Technology
Organization:  NextEra Energy Resources, LLC 
Relocation Provided:  No

NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law. 

NextEra Energy and provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to recruiting-coordinator.sharedmailbox@nexteraenergy.com, providing your name, telephone number and the best time for us to reach you. 

NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

NextEra Energy does not accept any unsolicited resumes or referrals from any third-party recruiting firms or agencies. Please see our policy for more information.


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