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Data Engineer Jobs in Jupiter, FL (NOW HIRING)

Kforce Technology Staffing

Programmer Analyst

Juno Beach, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform data analysis to support business operations, decision making, and strategic initiatives * Collaborate closely with cross-functional teams, including IT, business units, and data engineering ...

Pursuit Aerospace

Lead Data Scientist

Stuart, FL · On-site

$144K - $198K/yr

  • Medical

  • Retirement

  • PTO

The lead data scientist will function like a forward-deployed engineer who takes a supply chain problem from ambiguity to financial impact: framing the problem, shaping the data and models, building ...

m2e Consulting Engineers

Project Engineer

West Palm Beach, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Oversees the acquisition of field data. * Develops and recommends standard operating procedures and ... The Project Engineer may be assigned to projects already in progress as well as new projects ...

Judge Group, Inc.

Salesforce Architect

Juno Beach, FL · On-site

$60 - $70/hr

Data engineering expertise: * Data modeling * ETL/ELT design * Large-scale migrations * Data quality governance * Proven daily use of: * Generative AI * Agentic AI tools (with measurable productivity ...

Daher

Manufacturing Engineer

Stuart, FL · On-site

$100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Title Manufacturing Engineer Who are we? As an aircraft manufacturer, industrialist, industrial ... Costing, Planning & Data Management * Produce RC/NRC cost estimates and schedules in response to ...

Daher

Manufacturing Engineer

Stuart, FL · On-site

$100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Title Manufacturing Engineer Who are we? As an aircraft manufacturer, industrialist, industrial ... Costing, Planning & Data Management * Produce RC/NRC cost estimates and schedules in response to ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Jupiter, FL

Data Engineer information

See Jupiter, FL salary details

$43.5K

$126.8K

$173.6K

How much do data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data engineer in Jupiter, FL is $126,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $134,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Jupiter, FL? The most popular types of Data Engineer jobs in Jupiter, FL are:
What are popular job titles related to Data Engineer jobs in Jupiter, FL? For Data Engineer jobs in Jupiter, FL, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Jupiter, FL look for? The top searched job categories for Data Engineer jobs in Jupiter, FL are:
What cities near Jupiter, FL are hiring for Data Engineer jobs? Cities near Jupiter, FL with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Jupiter, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,840 per year, or $61 per hour.

Senior Product Manager- Artificial Intelligence and Data Solutions

Carrier

FL • On-site, Remote

$122K - $161K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Carrier rating

7.2

Company rating: 7.2 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

322nd of 488 rated machine equipment manufacturers

Job description

About Carrier
Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.
About This Role
The Product Manager - AI / Analytics will play a critical role in shaping and delivering Carrier's next generation of analytics, AI/ML, GenAI, and Agentic AI products. This role partners closely with executive stakeholders, engineering, data science, and analytics teams to define strategy, prioritize investments, and deliver scalable AI-powered products that drive measurable business outcomes.
This leader will own the product vision and roadmap end-to-end, lead delivery across globally distributed teams, and serve as a trusted partner to senior business leaders. The ideal candidate brings a strong analytics background, deep understanding of modern AI capabilities, and a bias toward action-moving quickly from concept to value while designing solutions that scale across the enterprise.
Key Responsibilities
Product Strategy & Roadmap Ownership
  • Define and own the product vision, strategy, and multi-year roadmap for AI, analytics, GenAI, and Agentic AI products aligned to business priorities
  • Identify and prioritize high-impact use cases across domains such as Supply Chain, Manufacturing, Service, Commercial, and Corporate Functions
  • Develop compelling business cases, value hypotheses, and success metrics to guide investment decisions and measure outcomes
  • Executive Engagement & Stakeholder Leadership
  • Drive executive-level business conversations, translating complex analytics and AI capabilities into clear value narratives and decisions
  • Act as a strategic partner to business leaders, ensuring AI and analytics products are tightly aligned to operational and strategic goals
  • Balance competing priorities across functions and regions, ensuring transparency, alignment, and strong governance

AI / Analytics Product Delivery
  • Lead cross-functional delivery teams spanning data engineering, analytics engineering, data science, ML engineering, and GenAI engineering, across multiple geographies
  • Own and manage the product backlog, ensuring well-defined epics, features, and user stories that deliver incremental value
  • Partner closely with engineering teams to guide solution design, trade-offs, and sequencing-ensuring speed, quality, and scalability
  • Drive delivery of:
  • Advanced analytics and BI products
  • AI/ML models (predictive, prescriptive, optimization)
  • GenAI solutions (e.g., copilots, knowledge assistants, summarization, Q&A)
  • Agentic AI workflows that automate multi-step business processes with appropriate controls

Scale, Adoption & Value Realization
  • Ensure products are designed for enterprise scale, reliability, security, and governance
  • Drive adoption and change management, embedding AI and analytics into business workflows
  • Monitor product performance using KPIs, user feedback, and business impact metrics; continuously refine roadmap based on outcomes
  • Partner with platform, architecture, and governance teams to align with enterprise standards and responsible AI practices

Leadership Mindset & Ways of Working
  • Lead with an entrepreneurial mindset-embracing ambiguity, experimenting quickly, and learning through iteration
  • Balance speed and innovation with disciplined product management and scalable architecture
  • Foster a culture of ownership, accountability, and collaboration across global teams

Required Qualifications
  • High School Diploma or GED with 10+ years of experience in analytics, data, or AI product management

OR
  • Bachelor's degree with 5+ years of experience in analytics, data, or AI product management.
  • Must be a U.S. Citizen or U.S. Permanent Resident
  • This role can work anywhere in the US

Preferred Qualifications
  • Strong knowledge of data analytics, business intelligence, and modern data platforms
  • Demonstrated ability to partner with engineering and data science teams to deliver data and AI solutions
  • Proven ability to influence stakeholders and drive alignment across cross-functional teams
  • Familiarity with Agile and product-focused delivery methodologies
  • Hands-on involvement in the delivery of AI/ML, Generative AI, and Agentic AI solutions within enterprise environments
  • Working knowledge of modern data and AI technologies such as Snowflake, Databricks, AWS, and Power BI
  • Understanding of MLOps, LLMOps, AI governance, and responsible AI principles
  • Ability to lead product initiatives across distributed or global teams; industry knowledge in manufacturing, industrial, or HVAC environments is a plus

Pay Range
The annual salary for this position is between $117,500.00 - $234,500.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate.
Other Compensation
This position is entitled to short-term cash incentives, subject to plan requirements.
Benefits
Employees are eligible for benefits, including:
  • Health Care Benefits: Medical, Dental, Vision; Wellness incentives
  • Retirement Benefits
  • Time off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation
  • Disability: Short-term and long-term disability
  • Life Insurance and Accidental Death and Dismemberment
  • Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account
  • Tuition Assistance

To learn more about our benefits offering, please click here Work with us | Carrier CorporateThe specific benefits available to any employee may vary depending on state and local laws and eligibility factors, such as date of hire and the applicability of collective bargaining agreements.
Carrier EEO Statement and Accommodations Process
Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified individuals with a Disability and Protected Veterans in compliance with section 503 of Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
If you require a reasonable accommodation to complete the application process, participate in an interview, or otherwise engage in the hiring process, please contact us at Carrier.Recruiting@carrier.com. We will make every effort to meet your needs in accordance with applicable laws.
Application Deadline
Applications will be accepted for at least 3 days from Job Posting Date: 24 July 2026
Job Applicant's Privacy Notice
Please click on the link to review the Job Applicant Privacy Notice.
Use of AI
Technology-enabled tools may support parts of the recruitment process, with oversight by people.

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About Carrier

Sourced by ZipRecruiter

Carrier is the leading global provider of healthy, safe and sustainable building and cold chain solutions with a world-class, diverse workforce with business segments covering HVAC, refrigeration, and fire and security. We make modern life possible by delivering safer, smarter and more sustainable services that make a difference to people and our planet while revolutionizing industry trends. This is why we come to work every day. Join us and we can make a difference together.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Palm Beach Gardens, FL, US

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