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Data Engineer Jobs in Jupiter, FL (NOW HIRING)

Access Medical Labs

Data Architect

North Palm Beach, FL · On-site

$63.75 - $82.25/hr

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Information Technology, or a related field. * Master's degree preferred. * 7+ years of experience in Data Architecture ...

Access Medical Labs

Data Architect

North Palm Beach, FL · On-site

$63.75 - $82.25/hr

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Information Technology, or a related field. * Master's degree preferred. * 7+ years of experience in Data Architecture ...

Sidram Technologies

Data Scientist

Juno Beach, FL · On-site

This position will engage in end-to-end model development--from conception through production deployment, including advanced feature engineering, weather data integration via APIs, model optimization ...

NextEra Energy

Data Scientist

Juno Beach, FL · On-site

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 ...

Apex Systems

Project Engineer - Data Center

Juno Beach, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job#: 3042718 Project Engineer - Data Center Location: Juno Beach, Florida (Onsite) Role Overview An opportunity is available for a Project Engineer to support data center power projects. This role ...

ASR Group

Sr. Data Scientist

Belle Glade, FL · Remote

The individual will work closely with scientists, field teams, operations personnel, engineers, and external technology partners to identify opportunities, structure data assets, prototype and test ...

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Showing results 21-40

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.

Data Architect

Access Medical Labs

North Palm Beach, FL • On-site

$63.75 - $82.25/hr

Full-time

Posted 6 days ago

Job description

About the Organization
Access Medical Labs is one of the largest specialty diagnostic labs in the country, using 50% less blood and delivering next-day results. We offer a comprehensive test menu-from routine panels to advanced biomarkers-across blood, saliva, and urine, performing over 1,000 tests under one roof. Our ultra-automated facilities, spanning over 55,000 sq. ft., are powered by the most cutting-edge diagnostic technology and innovative lab logistics available.
Since 2003, we've been committed to delivering a truly exceptional client experience backed by precise and reliable testing. Every innovation we pursue is driven by one purpose: making personalized medicine more practical and accessible.
Company culture is the foundation of Access Medical Laboratories. We continue to attract mission-driven and goal-oriented professionals to our organization, where each individual and team is recognized for their accomplishments. We place a significant amount of value on teamwork and mentorship, enabling each individual to consistently grow and develop. At Access, each team member has a sense of belonging, family, and community. We enjoy coming to work every day in an environment where people feel empowered, understanding that each team member plays a significant role in providing peace of mind to patients nationally.
Full-Time/Part-Time
Full-Time
Description
Job Summary:
Access Medical Laboratories is seeking an experienced and strategic Data Architect to lead the design, governance, and optimization of the organization's enterprise data architecture. Reporting directly to the Chief Technology Officer (CTO), this role will be responsible for developing scalable data solutions that support Access Medical Laboratories' digital transformation strategy and vision of becoming an insight-driven organization.
The Data Architect will establish enterprise data standards, design modern data architectures, oversee data governance and security, and lead the implementation of data warehouse and integration solutions. This individual will collaborate closely with IT leadership and business stakeholders to ensure data is reliable, secure, accessible, and positioned to support advanced analytics, artificial intelligence, and business intelligence initiatives across the organization.
Job Responsibilities:
  • Design and maintain the organization's enterprise data architecture, including data models, data flows, and system interactions.
  • Develop scalable data blueprints that support current and future business initiatives.
  • Establish enterprise data governance policies, standards, and best practices to ensure data quality, consistency, privacy, and security.
  • Lead the design, evaluation, and implementation of enterprise data warehouse solutions, data integration platforms, and data mapping tools.
  • Define and oversee Master Data Management (MDM) strategies to improve data accuracy and consistency across systems.
  • Partner with IT teams to integrate laboratory, operational, financial, and commercial systems into a unified data ecosystem.
  • Lead data planning initiatives supporting organizational growth, including future laboratory expansion outside of Florida.
  • Lead the organization's Power BI function, including the design, development, administration, and maintenance of Power BI datasets, semantic models, dashboards, reports, and reporting standards to support enterprise-wide business intelligence and data-driven decision-making.
  • Design and support role-based dashboards, reporting frameworks, and "Next Best Action" analytics capabilities.
  • Collaborate with executive leadership, department leaders, and technical teams to identify data requirements and align enterprise architecture with business objectives.
  • Ensure compliance with healthcare data privacy regulations, security standards, and internal governance policies.
  • Evaluate emerging data technologies and recommend solutions that improve scalability, performance, and business intelligence capabilities.
  • Provide technical leadership and guidance on enterprise data strategy, architecture, governance, and business intelligence initiatives.

Qualifications & Skills:
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Information Technology, or a related field.
  • Master's degree preferred.
  • 7+ years of experience in Data Architecture, Data Engineering, Enterprise Architecture, or related disciplines.
  • Experience designing enterprise data architecture for complex organizations.
  • Strong knowledge of relational and non-relational database technologies.
  • Experience implementing enterprise data warehouses and ETL/ELT solutions.
  • Expertise in Master Data Management (MDM), data governance, and data quality frameworks.
  • Strong proficiency with SQL and modern cloud-based data platforms such as Microsoft Azure, AWS, or Google Cloud.
  • Experience with enterprise integration technologies, APIs, and data orchestration tools.
  • Understanding of cybersecurity principles and data privacy regulations.
  • Experience within healthcare, clinical laboratories, diagnostics, biotechnology, or life sciences.
  • Experience supporting AI, machine learning, and advanced analytics initiatives through scalable data architecture.
  • Familiarity with data visualization platforms such as Power BI or Tableau.
  • Experience with enterprise architecture frameworks and cloud-native data solutions.
  • Strong strategic thinking and enterprise architecture planning skills.
  • Excellent analytical and problem-solving abilities.
  • Strong communication and presentation skills with the ability to explain technical concepts to executive and non-technical stakeholders.
  • Proven ability to lead cross-functional initiatives and influence organizational decision-making.
  • Strong project management and organizational skills.
  • Ability to balance long-term architectural strategy with immediate business priorities.
  • Collaborative leadership style with a focus on innovation and continuous improvement.
  • Commitment to maintaining high standards for data integrity, governance, and security.

EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Exempt/Non-Exempt
Exempt
This position is currently accepting applications.

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