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Data Engineer Jobs in Jupiter, FL (NOW HIRING)

Teksoft Systems Inc

Data Scientist

Palm Beach, FL · On-site

... engineering Experience with SQL (PostgreSQL, MySQL, BigQuery, Snowflake, etc.) Familiarity with data visualization tools Matplotlib, Seaborn, Plotly, or Power BI/Tableau Understanding of statistics ...

Jj

Director, SC Data

Palm Beach Gardens, FL

Bachelor's degree in Supply Chain, Engineering, Information Systems, Data Science, Computer Science, Business, Operations Management, ora relatedfield. * Preferred: Master's degree (MBA, Supply Chain ...

New

Access Labs LLC

Data Scientist

North Palm Beach, FL

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * Master's degree preferred. * 1-3 years of professional experience in Data ...

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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 Sep 4, 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 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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
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:

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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, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $126,840 per year, or $61 per hour.

Data Product Delivery Lead - Climate Solutions Transportation

Carrier

FL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Key responsibilities

  • Support CST teams in shaping solution approaches, delivery plans, and customer adoption strategies across commercial and operational domains.

  • Own the end-to-end lifecycle of data products supporting use cases such as pricing optimization, parts availability insights, lead scoring, external data enrichment, customer segmentation, and commercial performance analytics.

  • Oversee the design and development of data pipelines, transformations, and models using SQL, Python, and modern ETL/ELT frameworks, and support integration of diverse data sources.

Carrier rating

7.6

Company rating: 7.6 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

250th of 496 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 the role
The Data Product Delivery Lead is responsible for driving the successful delivery, adoption, and long-term value of data products across commercial, operational, and customer-facing domains. This includes areas such as parts and service, pricing, lead generation, external data integration, and broader commercial analytics. The role blends customer-facing leadership with strong data engineering and data product creation skills, ensuring that solutions are built on modern open lakehouse architectures and aligned with CST business priorities. This leader partners with cross-functional teams to translate business objectives into scalable, production-ready data products that support enterprise transformation.
Duties & Responsibilities
  • Customer & CST Partnership
    • Serve as the primary delivery partner supporting CST teams in shaping solution approaches, delivery plans, and customer adoption strategies across commercial and operational domains.
    • Lead discovery sessions with stakeholders in parts, pricing, sales operations, marketing, service, and analytics to define data product requirements and measurable outcomes.
    • Translate business needs into technical specifications, delivery roadmaps, and value-focused product backlogs.
    • Build strong relationships with customer stakeholders to ensure alignment, transparency, and sustained value realization.
  • Data Product Creation & Delivery Leadership
    • Own the end-to-end lifecycle of data products supporting use cases such as pricing optimization, parts availability insights, lead scoring, external data enrichment, customer segmentation, and commercial performance analytics.
    • Prioritize features and enhancements based on business value, feasibility, and customer impact.
    • Lead cross-functional delivery teams-including data engineers, analysts, platform engineers, and SMEs-through Agile execution.
    • Ensure data products follow medallion architecture principles (bronze/silver/gold) for quality, scalability, and reusability.
  • Data Engineering & Architecture
    • Oversee the design and development of data pipelines, transformations, and models using SQL, Python, and modern ETL/ELT frameworks.
    • Lead the implementation of open lakehouse architectures capable of supporting structured, semi-structured, and unstructured data.
    • Ensure strong data quality, lineage, metadata management, and governance practices across all delivered products.
    • Support integration of diverse data sources including CRM, ERP/SAP, pricing systems, parts catalogs, marketing platforms, and external data providers.
  • Cross-Functional Collaboration
    • Partner with commercial, operational, customer success, and engineering teams to ensure alignment across strategy, delivery, and adoption.
    • Communicate progress, risks, and outcomes to internal and external stakeholders.
    • Support pre-sales and solution-shaping conversations when needed to validate delivery feasibility and architectural direction.

Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, or Engineering
  • 5+ years of experience in a Product Management role; leading end-to-end product delivery, including product roadmap implementation.
  • 5+ years of experience with stakeholder management and cross-functional collaboration across all organizational departments.
  • 5+ years of experience in a data analytics or data engineering role building data models and production grade data products.
  • 3+ years of experience in supply chain, logistics, or manufacturing industry.
  • Must have unrestricted authorization to work in the USA. No visa sponsoring available.

Preferred Qualifications
  • Master's degree in Computer Science, Data Science, or Engineering.
  • Experience with cloud platforms AWS, Snowflake and GCP; familiarity with GCP is considered a plus
  • Background supporting commercial, operational, or customer-facing analytics in enterprise environments
  • Exposure to ML/AI workflows and MLOps practices
  • Hands-on experience with open lake house architectures and medallion data product design.
  • Proficiency in SQL, Python, and modern ETL/ELT frameworks.
  • Understanding of data governance fundamentals including data quality, lineage, cataloging, and access controls.
  • Experience integrating and modeling data from ERP systems, with preference for SAP.
  • Familiarity with pricing, parts and service operations, lead generation, customer lifecycle analytics, and external data enrichment.
  • Understanding of commercial KPIs, funnel metrics, pricing structures, and operational performance indicators.
  • Ability to translate business objectives into data product requirements across multiple functional areas.
  • Proven ability to lead customer engagements, manage expectations, and drive adoption of technical solutions.
  • Strong communication skills with the ability to translate between business and technical audiences.
  • Experience leading cross-functional teams in an Agile delivery model.
  • Ability to manage multiple initiatives and prioritize based on value and urgency

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: 5 August 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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