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Exempt Data Engineer Jobs in Florida (NOW HIRING)

Socket.dev

AI Solutions Engineer

Fort Lauderdale, FL · On-site

$120 - $165/hr

Exempt Who We Are At Sound Income Group , our mission is to help independent financial ... Evaluate workflows, systems, and data across departments to identify opportunities for AI, machine ...

New

Central Florida Health Care

Data Analyst

Winter Haven, FL · On-site

$65 - $95/hr

Exempt Personnel Supervised: None POSITION SUMMARY: This position performs business analysis to ... Writing scalable code using Python (preferred) or R programming language * Computer and application ...

TransUnion

Senior Data Analyst

Boca Raton, FL · On-site

$90K - $150K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists ... For You : Grow and recharge withtuition reimbursement,flexible time off for exempt employees or ...

Transunion

Senior Data Analyst

Boca Raton, FL

$90K - $150K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists ... For You : Grow and recharge withtuition reimbursement,flexible time off for exempt employees or ...

Outsource Inc.

Outside Plant Engineer

Tallahassee, FL · On-site

About the Organization Outsource is a leading provider of voice and data communication support ... Exempt/Non-Exempt Non-Exempt Full-Time/Part-Time Full-Time Hiring Manager(s) Jeff Kendrick Number ...

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All JobsExempt Data Engineer JobsExempt Data Engineer Jobs in Florida

Exempt Data Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do exempt data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for exempt data engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

What is an exempt data engineer?

Exempt Data Engineers are professionals responsible for designing, building, and maintaining the systems and architecture that allow organizations to collect, store, and analyze large amounts of data. The term 'exempt' refers to their employment status under labor laws, meaning they are salaried employees who are not eligible for overtime pay under the Fair Labor Standards Act (FLSA). These engineers typically work with big data technologies, databases, and programming languages to ensure data is accessible, reliable, and secure for analysis and business decision-making.

What are the key skills and qualifications needed to thrive as an exempt data engineer?

To thrive as an Exempt Data Engineer, you need strong expertise in data modeling, SQL, programming (such as Python or Java), and a relevant degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (like AWS or Azure), and data pipeline tools, along with certifications such as Google Data Engineer or AWS Certified Data Analytics, is typically required. Analytical thinking, effective problem-solving, and strong collaboration skills help set top performers apart. These competencies ensure the reliable design, implementation, and management of data systems that support business intelligence and organizational decision-making.

What are some common challenges faced by exempt data engineers when integrating data from multiple sources?

Exempt Data Engineers often encounter challenges when integrating data from various sources, such as incompatible data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically requires designing robust ETL (Extract, Transform, Load) pipelines and collaborating closely with data analysts, database administrators, and source system owners. Successfully overcoming these challenges not only ensures reliable data flow but also enhances the organization's ability to make data-driven decisions. Proactive communication and thorough documentation are key practices that help streamline integration processes.

What is the difference between Exempt Data Engineer vs Data Analyst?

AspectExempt Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science or related field, often certifications in data engineering toolsBachelor's in Statistics, Data Science, or related field, often certifications in analytics tools
Work EnvironmentDesigning, building, and maintaining data pipelines in tech or finance industriesInterpreting data, creating reports, and providing insights across various industries
Employer & Industry UsageUsed in companies with large data infrastructure, including tech, finance, and healthcareCommon in marketing, finance, healthcare, and retail sectors

Exempt Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to generate insights. Both roles require strong technical skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on data analysis and reporting.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large data systems, building data pipelines, and supporting analytics and machine learning initiatives. Skills in cloud platforms, SQL, and programming languages like Python or Scala enhance job prospects in this field.

What are the most commonly searched types of Data Engineer jobs in Florida?

The most popular types of Data Engineer jobs in Florida are:

What cities in Florida are hiring for Exempt Data Engineer jobs?

Cities in Florida with the most Exempt Data Engineer job openings:

Exempt Data Engineer jobs near you

Data Science Intern - Garg Lab AI Program

Mayo Clinic

Jacksonville, FL • On-site

$25/hr

Part-time, Internship

Posted 3 days ago

New

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 706 frontline employees who took The Breakroom Quiz

136th of 898 rated healthcare providers

Job description

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Responsibilities

Selected Interns will utilize statistics and computer science to solve complex problems in healthcare. Problem areas include diagnostic analytics such as image analysis, signal processing and pattern recognition, NLP, scheduling, risk analysis and prevention, outcome analysis, targeting and socio-economic behaviors, personalization - including sentiment, interests and affinities modeling, and process improvement (e.g. making sure patients are referred to the care teams they need). The Intern will interact with vast amounts of clinical and non-clinical data (external data sources, digital, etc.). Interns will learn the data science lifecycle including data acquisition, transformation, data engineering, exploratory data analysis, feature engineering, algorithm development, and algorithm deployment into a relevant clinical and/or business context. Interns are expected to help formulate analytical questions, perform hypothesis testing, algorithm optimization, algorithm deployment, and integrate feedback rapidly from stakeholders. Candidate needs to have an open mind and ability to take concepts developed by other industries and apply them to healthcare. Candidates should be effective communicators and good team players. Candidates who have coursework, projects, and evidence of interest in data science (e.g., participating in Kaggle competitions) but lack industry experience are ideal for this position.


Qualifications

Current enrollment or recent graduate of undergrad or grad program in: Computer Science, Information Technology, Data Science, Physics, Statistics/Biostatistics, or other related field with strong quantitative analytical skills. School or project experience in applying data science approaches/tools. Proven written and oral communication skills are essential.AI experience/exposure or familiarity with AI principles is required. Courses and comfort level with at least one of the following: computer programming, machine learning, graph theory, algorithms, statistics, SQL, and linear algebra are essential for success. Experience with major programming languages is beneficial. Demonstrated initiative/innovation in coursework and projects.
Note: Preference will be given to candidates with experience applying AI and data science methods to healthcare quality improvement, clinical workflow optimization, operational efficiency, patient outcomes, or care delivery processes, as well as: 

  • Experience applying AI, machine learning, NLP, or predictive analytics to healthcare, research, or operational datasets.
  • Familiarity with healthcare data sources, EHR systems, clinical coding, and quality improvement metrics.
  • Proficiency in Python, R, SQL, or related analytical tools.
  • Experience working with structured and unstructured data, including clinical text and operational data.
  • Experience creating data visualizations, dashboards, and presenting analytical findings to diverse stakeholders.
  • Demonstrated interest in healthcare innovation, gastroenterology, quality improvement, and clinical operations.


Mayo Clinic will not sponsor or transfer a visa for this position, which includes F1 OPT STEM. 


Exemption Status
Nonexempt
Compensation Detail
This position has a predetermined rate of $25.00 per hour.
Benefits Eligible
No
Schedule
Part Time
Hours/Pay Period
20
Schedule Details
Regular business hours M-F; Flexible according to project needs; 11 month assignment from start date - Late Sept or October start preferred.
Weekend Schedule
N/A
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'.  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Recruiter
Stephanie BairdQualifications:

Current enrollment or recent graduate of undergrad or grad program in: Computer Science, Information Technology, Data Science, Physics, Statistics/Biostatistics, or other related field with strong quantitative analytical skills. School or project experience in applying data science approaches/tools. Proven written and oral communication skills are essential.AI experience/exposure or familiarity with AI principles is required. Courses and comfort level with at least one of the following: computer programming, machine learning, graph theory, algorithms, statistics, SQL, and linear algebra are essential for success. Experience with major programming languages is beneficial. Demonstrated initiative/innovation in coursework and projects.
Note: Preference will be given to candidates with experience applying AI and data science methods to healthcare quality improvement, clinical workflow optimization, operational efficiency, patient outcomes, or care delivery processes, as well as: 

  • Experience applying AI, machine learning, NLP, or predictive analytics to healthcare, research, or operational datasets.
  • Familiarity with healthcare data sources, EHR systems, clinical coding, and quality improvement metrics.
  • Proficiency in Python, R, SQL, or related analytical tools.
  • Experience working with structured and unstructured data, including clinical text and operational data.
  • Experience creating data visualizations, dashboards, and presenting analytical findings to diverse stakeholders.
  • Demonstrated interest in healthcare innovation, gastroenterology, quality improvement, and clinical operations.


Mayo Clinic will not sponsor or transfer a visa for this position, which includes F1 OPT STEM. 

What Mayo Clinic employees say

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Benefits

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Workplace

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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