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Exempt Data Engineer Jobs in Florida (NOW HIRING)

AllSTEM Connections

: Lead Engineer

Orlando, FL · On-site

$93K/yr

Lead Industrial Engineer (Operations Strategy & Analytics) Role Overview We are seeking a data ... Supervise and mentor a team of non-exempt analysts, ensuring project delivery aligns with company ...

Pasco County

Engineer III - Stormwater

New Port Richey, FL · On-site

$98K - $137K/yr

Arranges and attends pre-application meetings with regulatory agency staff regarding exemption ... Successful respondent must be able to perform data development, analysis, computer modeling of ...

Mtron

Software Engineer

Orlando, FL · On-site

Salaried Exempt Pay Rate : Dependent upon experience Location: Orlando, FL (On-site) Position ... Must be able to work on ITAR data without a license. Physical Requirements & Working Environment:

Chewy

Principal Security Engineer

Plantation, FL · On-site

$170K - $271K/yr

You will work deeply within AWS-based platforms, Kubernetes (EKS), and data services, setting ... Exempt salary team members have unlimited PTO, subject to manager approval. Team members will ...

Chewy

Principal Security Engineer

Plantation, FL · On-site

$170K - $271K/yr

You will work deeply within AWS-based platforms, Kubernetes (EKS), and data services, setting ... Exempt salary team members have unlimited PTO, subject to manager approval. Team members will ...

AERONIX INC

Lead Systems Engineer

Melbourne, FL · On-site

$140K - $175K/yr

Exempt / Full-time Salary Range: $140,000 - $175,000 Annually ROLE We are seeking a senior-level ... Generate and maintain Interface Control Documents (ICDs), system block diagrams, data flows, and ...

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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 Jun 16, 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.

Can I get a Data Engineer job with no experience?

Entry-level Data Engineer positions typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data processing tools such as Apache Spark or Hadoop. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for junior roles or apprenticeships in data engineering.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and optimize data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively within organizations.

What are Exempt Data Engineers?

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, and why are they important?

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 engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within top-tier companies. Achieving this level often requires expertise in cloud platforms, distributed systems, and leadership roles.

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.

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 jobs are H1B cap exempt?

H1B cap-exempt jobs include positions at institutions of higher education, nonprofit research organizations, and government research agencies. Data engineers working in these settings may qualify for cap exemption if their employer qualifies under these categories, often requiring specialized skills in data management, cloud platforms, and programming languages. It is important to verify the employer's status to determine eligibility for H1B cap exemption.
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

AI/ML Software Engineer (Active Clearance Required)

MRSL Real Time Systems Laboratory, Inc

Sarasota, FL • On-site

Full-time

Posted 18 days ago

Job description

Category
Engineering
Exempt/Non-Exempt
Exempt
Full-Time/Part-Time
Full-Time
Location
Sarasota, FL
Number of Openings
2
Req Number
ENG-26-00003
Position Requirements
Description
Job Duties:
You will be responsible for designing, developing, and implementing AI/ML solutions for a wide range of decision-making and SIGINT processing needs. This includes working with time-series data and developing models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems. You will work with team leads to integrate AI/ML capabilities into enterprise architectures, ensuring performant processing while considering aspects of accuracy, security, and maintainability.
This also includes enabling autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments, and discovering features and inferring system states from the underlying data streams. You will work towards solutions for large-scale sensing systems, implementing tailored models deliver intelligent insights in support of critical Intelligence Community and Department of Defense missions.
AI/ML Software Engineer for Signal Processing Applications Requirements:
  • We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing. The right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running.

Required Minimum Qualifications:
  • TS/SCI active clearance required. U.S. Citizenship required
  • BS degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or related field
  • Minimum 1-year hands-on experience in AI or ML in a professional environment (3-5 years preferred)
  • Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.)
  • Solid programming background with experience using statistical and signal analysis libraries
  • Experience with neural network architectures including deep learning models
  • Understanding of transformer architectures and attention mechanisms
  • Strong understanding of MLOps, deployment and processing pipelines, testing/validation

Nice to have, but not required:
  • Understanding of digital signal processing fundamentals
  • Experience with RFML
  • Experience with Large Language Models (LLMs) including fine-tuning and prompt engineering
  • Knowledge of AI applications for autonomous decision-making and analysis
  • Additional consideration for experience with multimodal, agentic systems using RAG, COT, or MARL approaches
  • Experience with reinforcement learning, human feedback, and related system learning methods
  • Experience creating and deploying containerized AI models with Docker/Kubernetes
  • Working with cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI)
  • Experience with model monitoring, A/B testing, and performance optimization
  • Experience with real-time inference systems and low-latency model serving
  • Knowledge of adversarial ML and AI security/robustness techniques
  • Experience with graph neural networks for network analysis
  • Experience in design, deployment, support of AI or ML model for significant real-world applications

About the Organization
MRSL is an employee-owned company with its headquarters in Sarasota, FL. MRSL also has offices in Monterey, CA and Dayton, OH as well as several employees located at customer facilities in the US and around the globe. MRSL has deep experience in signal processing application and common services development for the National agencies of the Intelligence Community (IC) and the Department of Defense. We develop and deploy multiple applications and system infrastructures for use in client mission operations.
MRSL specializes in the development of mission-oriented signal processing algorithms, applications, and associated services for our customers. MRSL excels in the design, development, and deployment of signal processing applications using the X-Midas framework, since we evolve and sustain this framework for the entire community of the IC contractors. MRSL employs engineers and researchers who specialize in cutting-edge signal processing technologies, system and software design, life cycle support, signal analysis, communications and software development.
MRSL proudly offers highly competitive wages and benefits. We offer a business casual atmosphere with a team-oriented environment. MRSL is looking for candidates with a solid academic background in engineering/science with good hands-on programming skills, a high degree of drive and dedication, ability to learn quickly and who works well with others. To apply go to www.mrsl.com and select Careers.
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.
This position is currently accepting applications.

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