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Exempt Data Engineer Jobs in Florida (NOW HIRING)

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 ...

Senior Data Operations Analyst

Boca Raton, FL · On-site

$81K - $103K/yr

This role reports directly to the Manager of the Enterprise Applications and Programming division ... For You : Grow and recharge withtuition reimbursement,flexible time off for exempt employees or ...

This role reports directly to the Manager of the Enterprise Applications and Programming division ... For You : Grow and recharge withtuition reimbursement,flexible time off for exempt employees or ...

Manufacturing Quality Engineer

Jacksonville, FL · On-site

$68K - $88K/yr

Exempt MARKETING STATEMENT At Parker Aerospace, we develop technologies and innovative solutions ... Coordinates and guides technical evaluations, analysis, and related data acquisition processes to ...

Senior Data Operations Analyst

Boca Raton, FL · On-site

$81K - $102K/yr

This role reports directly to the Manager of the Enterprise Applications and Programming division ... Grow and recharge with tuition reimbursement, flexible time off for exempt employees or paid time ...

Palm Beach Gardens, FL Employment Type: Full-time, Exempt About AMPERA AMPERA is redefining clean ... Create scalable data pipelines and automation workflows for experimental and reactor test ...

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Showing results 1-20

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:

Senior Business Intelligence Analyst

AardvarkInsure.com Corporation

Miami, FL • On-site

$120K - $150K/yr

Full-time

Medical, Retirement, PTO

Posted 5 days ago


Job description

Description:

Job Title: Senior Business Intelligence Analyst

Salary Range: $120,000 - $150,000 per year DOE

Full-time, Exempt Position

Full-time, 100% On-site — Miami, FL


Company Overview: AardvarkInsure.com Corporation aka Aardy.com, is one of the leading Insure Tech Companies in the USA. Our entire world is about helping our customers choose great travel insurance for their next trip. We excel at this. Indeed, we have the highest Trustpilot score of any Travel Insurance company in the United States. In addition, we are certified as a Great Place to Work. As we add to our team it is essential that we maintain our incredibly high customer service skills. Aardy is on a high growth trajectory and wants to ensure we continue to do so within Aardy performance and quality standards.


Position Overview: Aardy is seeking an experienced Senior Business Intelligence Analyst to build and maintain the systems that will allow us to drive true business results from data. This senior position will work with executive leadership to harness the power of our raw data and transform it into usable data systems, reports, and insights. The ideal candidate is able to build a data program from almost the ground up and deliver insights that turn into revenue drivers.

This role will work closely with our data engineer to create pipelines to collect, clean, and transform data, then visualize this data in executive and marketing dashboards. The Senior Business Intelligence Analyst will report directly to the CEO and support all C-level members to deliver insights that shape strategy and accelerate growth.

This is not a supporting role. You will operate independently, anticipate where the business is heading, and ensure leadership always has the numbers they need — before they have to ask. If you thrive in fast-moving environments, love translating complexity into clarity, and want your work to directly shape company strategy, this role is for you.

This is a full-time, 100% on-site position based in Miami, FL. This position reports directly to the CEO.


What you will do

Key Responsibilities:

  • Own and maintain the executive reporting suite — dashboards, KPI trackers, and ad hoc analyses for the CEO and full C-suite, as well as marketing dashboards for the broader team.
  • Develop the reporting framework for the next phases of growth beyond first touch and last touch attribution — understanding how email, paid, and other touch points contribute to the customer journey, and identifying the main drivers and detractors of growth.
  • Proactively surface insights that help leadership anticipate where the business is going — not just report on where it has been. Deliver insights that turn into revenue drivers.
  • Enhance existing dashboards primarily in Looker, and leverage other tools including AI interfaces, to complete executive reporting and marketing dashboards.
  • Connect systems to generate tables in BigQuery and other tools that serve as master data sources powering visualization tools like Looker.
  • Write SQL from scratch to build, maintain, and troubleshoot datasets in BigQuery. Transform raw data into usable tables that drive powerful insights.
  • Work with FiveTran and Segment — Aardy’s current tools for drawing data into BigQuery — to support data pipelines in collaboration with the data engineer.
  • Partner with the data engineering team to design tables, build pipelines, and establish data practices that will scale, minimize errors, and allow confidence in reporting.
  • Present findings directly to the CEO and C-level team; own the narrative from data pull to executive briefing.
  • Work across departments as a senior resource to solve problems, answer business questions, support maintenance of campaigns, and enable deep segmentation and analysis.
  • Experience working with leadership and marketing teams to deliver insightful reporting that drives business decisions and results beyond current reporting.
  • Translate complex data into clear, actionable recommendations for non-technical senior leaders.
  • Maintain the data dictionary, document reporting logic, and keep assets organized and reproducible.
  • Balance competing data requests from multiple C-suite members and communicate priorities clearly.
  • Performs other related duties as assigned.


Requirements:

Requirements


Qualifications (Mandatory):

  • Bachelor’s degree in a relevant field required.
  • Must have a minimum of five (5) years of experience in a data analyst or business analyst role.
  • Must have a minimum of one (1) year of experience working directly with or supporting C-level teams.
  • Must be proficient writing complex SQL from scratch (CTEs, window functions, joins, aggregations).
  • Must have hands-on experience with BigQuery as a data warehouse, including best practices in data analysis and data engineering.
  • Must have experience building production dashboards and reports in Looker, Google Data Studio, or a comparable BI platform.
  • Familiarity with FiveTran and Segment for data ingestion and pipeline management.
  • Experience collaborating with a data team to design, build, and maintain a governed, source-of-truth data foundation.
  • Strong business acumen with the ability to understand executive and marketing team needs and solve for them with data.
  • Excellent communication and presentation skills — able to convey technical findings to non-technical leaders clearly and confidently.
  • Experience working with Google Sheets and Excel for ad hoc executive deliverables.


Preferred Qualifications:

  • Background in high-growth or operationally complex businesses.
  • Experience as a solo data owner or primary BI lead for an executive or C-suite team, with a track record as the “owner” of all things data.
  • Experience with tools such as MixPanel, Segment, Salesforce, and visualization platforms including Looker and PowerBI.
  • Experience building underlying data systems and processes that drive first touch and last touch attribution models, and eventually a multi-touch attribution model.
  • Familiarity with AI tools for reporting automation and visualization.
  • Experience connecting multiple data sources and maintaining data pipeline integrity.
  • Strong desire to learn and grow with the business.
  • Master’s degree in data science, analytics, or a comparable field preferred.


Benefits

  • 15 days (120 hours) of PTO per year.
  • 6 Paid Holidays.
  • Paid bereavement leave.
  • Equipment: PC + monitor, standard peripherals.
  • Retirement Plan: 401k safe harbor plan with up to a 6% company match.
  • ICHRA (Individual Coverage Health Reimbursement Arrangement). Up to $600 per month for employee only and up to $800 for employee+dependent(s).
  • Peer Rewards: Bonusly platform.


*This is a full-time, exempt position.

*This position reports directly to the CEO.

*Looking to fill this position as soon as possible, but the right fit is our priority.

*Must be able to legally work in the U.S. Sponsorship is not available.

*Must currently reside in the United States and be available to work on-site full-time in Miami, FL.


How to Apply:

1. Please apply via the appropriate link/directions.

2. Please write “Senior BI Analyst” in the subject line where requested.

3. Cover letters are highly encouraged and recommended, but not mandatory.

4. Please clearly state your desired salary range.

5. Please no unsolicited emails or phone calls from candidates.

6. Submissions not following these instructions will be automatically dismissed. Thank you in advance for your cooperation.


No agencies, recruiters, or independent contractors. This is a direct hire W-2 position. All unwanted solicitation will be automatically dismissed.


Aardvarkinsure.com Corporation provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.


Aardvarkinsure.com Corporation is an E-Verify employer.


Aardvarkinsure.com Corporation conducts background checks via Checkr.