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Exempt Data Engineer Jobs in Florida (NOW HIRING)

Senior Data Analyst

Boca Raton, FL ยท On-site

$90K - $150K/yr

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

Salaried Non-Exempt JOB SUMMARY ESSENTIAL DUTIES AND RESPONSIBILITIES The essential functions of ... Utilize and expand AWS Cloud infrastructure to enhance data analytics and monitoring capabilities ...

Quality Engineer

Panama City, FL ยท On-site

$65 - $90/hr

Quality Engineer Salary Exempt Staff Panama City, Panama City, FL, US Berg Pipe is one of the ... Prepare quality data packages, reports, and technical summaries for customer order closeout ...

Salary Exempt HOURS: Full Time (45+) LOCATION: Fort Lauderdale _____ At Calvary Chapel, we are ... Work in close partnership with the Data Team and support/ministry teams in determining process ...

Showing results 21-40

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:

Corporate Vice President, Data Scientist - Advanced Analytics

New York Life Insurance Co

Tampa, FL โ€ข On-site

$130K - $170K/yr

Full-time

Re-posted 8 days ago


Key responsibilities

  • Partner with senior business stakeholders to identify, prioritize, and shape data science initiatives that align with strategic objectives.

  • Lead complex, high-visibility data science projects from framing problems to developing, deploying, and monitoring machine learning models and data products.

  • Collaborate with engineering and technology teams to operationalize solutions, establish best practices, and enhance model lifecycle management.


Job description

Location Designation: Hybrid - 3 days per week
Role Overview:
As a Corporate Vice President, Data Scientist on the Advanced Analytics team you will serve as a strategic thought partner to business leaders across New York Life Direct, driving high-impact initiatives through advanced analytics, machine learning, and data-driven decision making. You will operate as a subject matter expert, shaping the direction of data science applications across marketing, underwriting, actuarial, operations, and fraud prevention. In this role, you will lead the design and development of innovative, scalable solutions, proactively identify opportunities to influence business strategy, and help define the future of data science within the organization. You will work across functions to translate complex business challenges into analytical frameworks, guide solution development, and ensure insights are effectively embedded into decision processes to deliver measurable business value.
What You'll Do:
You will partner closely with senior business stakeholders to identify, prioritize, and shape data science initiatives that align with strategic objectives, proactively uncovering opportunities where advanced analytics can drive meaningful business impact. You will lead complex, high-visibility data science projects end to end, from framing ambiguous problems and defining analytical approaches to developing, deploying, and monitoring scalable machine learning models and data products. Leveraging deep expertise in statistical methods, machine learning, and experimentation, you will solve unique and complex problems, often requiring innovative and conceptual thinking beyond existing approaches. You will influence decision-making by communicating insights and recommendations clearly to both technical and non-technical audiences, including senior leadership. In addition, you will collaborate with engineering and technology teams to operationalize solutions, establish best practices, and enhance model lifecycle management. As a senior member of the team, you will mentor other data scientists, elevate technical standards, and contribute to the development of the team's capabilities, while staying at the forefront of emerging trends and identifying ways to apply new techniques to advance business outcomes.
What You'll Bring:
You bring advanced academic training in a quantitative field such as Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related discipline, along with significant experience applying data science in complex business environments. You have deep technical expertise in programming languages such as Python or R, strong proficiency in SQL, and a robust foundation in statistical modeling, machine learning, and experimental design. You are recognized for your ability to independently lead large-scale, ambiguous initiatives and to translate complex data into actionable insights that influence strategic decisions. Your experience includes working with large, real-world datasets and deploying models in production environments, ideally within insurance, financial services, or direct-to-consumer contexts. You are an effective communicator who can influence stakeholders at all levels, and you bring a track record of mentoring others, shaping best practices, and driving continuous improvement. Familiarity with cloud-based platforms (e.g., AWS, SageMaker) and model lifecycle management, along with an interest in emerging areas such as generative AI, will further enable you to succeed in this role.
Required Skills:
โ€ข Master's or PhD in quantitative fields such as Data Science, Statistics, Applied Math, Economics, Computer Science, Engineering, or related disciplines
โ€ข 5+ years of experience applying data science in a business setting with a Master's (3+ years for PhD graduates)
โ€ข Strong programming skills in Python and/or R, plus experience with SQL
โ€ข Strong foundation in statistical analysis, machine learning and experimental design
โ€ข Experience working with real-world datasets and translating ambiguous business questions into analytical solutions
โ€ข Strong communication skills, including the ability to explain technical concepts clearly and influence decisions across a range of audiences
โ€ข Ability to work independently, manage multiple priorities, and drive work forward in a collaborative environment
Preferred Skills:
โ€ข Experience in insurance, financial services, or direct-to-consumer environments
โ€ข Familiarity with cloud-based tools and platforms (e.g., AWS, Sagemaker)
โ€ข Understanding of model lifecycle management
โ€ข Experience evaluating or applying generative AI in business settings
Pay Transparency
Salary Range: $130,000-$170,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.
Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
Job Requisition ID: 93896
About NY Life Insurance Company
Diversity & Humanity-two values that are deeply rooted in the New York Life culture and have laid the foundation for over 175 years of commitment to our employees, agents, policy owners, and the communities where we live and work. At New York Life you become a valued part of a welcoming, inclusive, and caring culture that has a long-standing legacy in stability and growth. The strength of New York Life revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance, and we want you to be a part of our legacy.
As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities. You will be part of a diverse team guided by our belief to always be there for each other-providing the support and flexibility to grow and reach new heights while making an impact in the lives of others.
You are our future, and we commit to investing in you accordingly.
Visit our Linkedin to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
Required Legal Notices - All Candidates Please Click Here