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Business Intelligence Data Engineer Jobs in Florida

AAA National

Data Engineer (Hybrid)

Lake Mary, FL ¡ On-site

$90K - $115K/yr

In this role, you will leverage your expertise in ETL processes, SQL, business intelligence ... Design, execute, and support data engineering solutions using ETL technologies, SQL, and business ...

Westgate Resorts

Business Intelligence Engineer

Ocoee, FL

$44.75 - $58.25/hr

The Business Intelligence Engineer is responsible for designing and maintaining scalable data pipelines, transforming raw data into analytics-ready datasets, and developing robust reporting solutions ...

Axogen

Business Intelligence Analyst

Tampa, FL ¡ On-site

This role combines Power BI development, data modeling support, forecasting analysis, and business ... Bachelor's degree in Business, Finance, Analytics, Information Systems, Engineering, Supply Chain ...

Axogen

Business Intelligence Analyst

Tampa, FL ¡ On-site

... engineering, business development, and clinical research activities, objectively target ... This role combines Power BI development, data modeling support, forecasting analysis, and business ...

Westgate Resorts

Business Intelligence Engineer

Ocoee, FL ¡ On-site

$44.75 - $58.25/hr

The Business Intelligence Engineer is responsible for designing and maintaining scalable data pipelines, transforming raw data into analytics-ready datasets, and developing robust reporting solutions ...

Westgate Resorts

Business Intelligence Engineer

Ocoee, FL ¡ On-site

$44.75 - $58.25/hr

The Business Intelligence Engineer is responsible for designing and maintaining scalable data pipelines, transforming raw data into analytics-ready datasets, and developing robust reporting solutions ...

Axogen

Business Intelligence Analyst

Tampa, FL

... engineering, business development, and clinical research activities, objectively target ... This role combines Power BI development, data modeling support, forecasting analysis, and business ...

Axogen

Business Intelligence Analyst

Tampa, FL

... engineering, business development, and clinical research activities, objectively target ... This role combines Power BI development, data modeling support, forecasting analysis, and business ...

Security First Managers LLC

Data Engineer

Ormond Beach, FL ¡ On-site

$100K - $120K/yr

Five (5) years of experience in data engineering, analysis, business intelligence, or a related field * OR bachelor's degree in STEM degrees with 3 years of experience in engineering, analysis ...

Graham Technologies

Data Engineer

Tampa, FL ¡ On-site

$112K - $135K/yr

This role also supports business intelligence initiatives by preparing data for dashboards ... Collaborate with cross-functional engineering teams to continuously improve enterprise data ...

Graham Technologies

Data Engineer

Tampa, FL ¡ On-site

$112K - $135K/yr

This role also supports business intelligence initiatives by preparing data for dashboards ... Collaborate with cross-functional engineering teams to continuously improve enterprise data ...

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All JobsBusiness Intelligence Data Engineer JobsBusiness Intelligence Data Engineer Jobs in Florida

Business Intelligence Data Engineer information

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How much do business intelligence data engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for business intelligence data engineer in Florida is $42.63, according to ZipRecruiter salary data. Most workers in this role earn between $36.63 and $47.60 per hour, depending on experience, location, and employer.

What is a business intelligence data engineer?

A Business Intelligence (BI) Data Engineer is a professional responsible for designing, building, and maintaining the infrastructure and processes that allow organizations to collect, store, and analyze data for business decision-making. They work closely with data analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and optimized for reporting and analytics. Typical tasks include developing data pipelines, integrating data from various sources, and ensuring data quality and security. Their work enables organizations to transform raw data into actionable insights that help drive business growth.

What are the key skills and qualifications needed to thrive as a business intelligence data engineer?

To thrive as a Business Intelligence Data Engineer, you need strong skills in data modeling, ETL development, SQL, and a background in computer science or a related field. Proficiency with BI tools (e.g., Tableau, Power BI), data warehousing platforms (like Snowflake or Redshift), and certifications such as Microsoft Certified: Data Analyst Associate are highly valuable. Analytical thinking, problem-solving, and effective communication are important soft skills for translating business requirements into actionable insights. These competencies ensure reliable data infrastructure, accurate reporting, and successful collaboration with stakeholders to drive informed business decisions.

How do business intelligence data engineers typically collaborate with analysts and business stakeholders?

Business Intelligence Data Engineers frequently work alongside data analysts and business stakeholders to ensure data pipelines and reporting tools meet organizational needs. They translate business requirements into technical specifications, build or optimize data models, and provide clean, reliable datasets for analysis. Regular communication and feedback loops are essential, as data engineers must adapt solutions to evolving business questions and ensure data integrity throughout the process. This collaborative approach helps deliver actionable insights and supports data-driven decision-making across teams.

What is the difference between Business Intelligence Data Engineer vs Data Analyst?

AspectBusiness Intelligence Data EngineerData Analyst
Primary FocusBuilding and maintaining data pipelines and infrastructure for BI systemsAnalyzing data to generate reports and insights
Skills & CertificationsSQL, ETL tools, data warehousing, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, BI platforms, cloud environmentsBusiness units, reporting tools, dashboards
Industry UsageOrganizations with large data infrastructure needsOrganizations focusing on data-driven decision making

While both roles work with data, Business Intelligence Data Engineers focus on creating and managing the data infrastructure that enables BI reporting, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right roles for their data needs.

Business Intelligence Data Engineer jobs near you
Infographic showing various Business Intelligence Data Engineer job openings in Florida as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $88,673 per year, or $42.6 per hour.

Data Engineer (Hybrid)

AAA National

Lake Mary, FL • On-site

$90K - $115K/yr

Full-time

Posted 12 days ago

Job description

Are you passionate about building reliable data solutions that drive business decisions? We are seeking an experienced Data Engineer to join our technical team and play a critical role in managing, integrating, and optimizing data that supports key business operations.
In this role, you will leverage your expertise in ETL processes, SQL, business intelligence platforms, and digital marketing technologies to ensure high-quality data is available for analysis, reporting, and business growth. You will work closely with business partners and fellow data engineers to support data warehouse operations, troubleshoot applications, and enhance data integration processes across multiple systems.
What You Will Do:
  • Design, execute, and support data engineering solutions using ETL technologies, SQL, and business intelligence platforms.
  • Load, manage, validate, and perform quality assurance activities on data from AAA clubs and third-party sources.
  • Maintain and enhance data pipelines that support the organization's data warehouse environment.
  • Analyze, troubleshoot, and optimize BI and digital marketing applications to ensure data accuracy and system performance.
  • Collaborate with a team of data engineers to support business initiatives and data-driven decision-making.
  • Configure, integrate, and maintain business intelligence and digital marketing platforms.
  • Create, execute, troubleshoot, and improve ETL processes using data from multiple sources.
  • Utilize Microsoft SQL Server to manage, manipulate, and optimize data storage and retrieval activities.
  • Investigate and resolve relational database issues using SQL and graphical administration tools.
  • Support workflow automation initiatives that improve operational efficiency and data processing.
  • Contribute to system administration activities that support the stability and performance of the data environment.

What You Will Need:
  • Bachelor's degree in a related field.
  • 4 to 7 years of professional experience in data engineering, data integration, business intelligence, or related fields.
  • Strong experience with ETL development, data integration, and data quality processes.
  • Hands-on experience supporting and troubleshooting business intelligence and digital marketing applications.
  • Proficiency with BI and digital marketing platforms such as Hive, Tableau, and Salesforce.
  • Experience with ETL tools such as Redpoint, Informatica, or similar technologies.
  • Advanced knowledge of Microsoft SQL Server, including DDL and DML operations.
  • Experience using cloud-based data warehousing platforms such as Snowflake and migrating data from legacy systems is highly desired
  • Strong troubleshooting skills related to relational databases and data integration processes.
  • Experience using workflow automation tools.
  • Ability to analyze, configure, integrate, and support complex data-driven applications.

Preferred Qualifications:
  • Experience with system administration responsibilities.
  • Familiarity with cloud-based data warehouse environments.
  • Experience with workflow automation platforms such as Automate BPA or similar tools.

Compensation
Hiring Range: $90,000 - $115,000
This position is also eligible for participation in AAA, Inc.'s Annual Incentive Plan.
AAA, Inc. is committed to paying competitively and equitably. The posted range for this position represents competitive compensation based on market data, internal equity, and the skills and requirements of the position. The compensation offered will depend on your qualifications and experience.
AAA, Inc. is not accepting unsolicited assistance from any search firms for this employment opportunity. All resumes submitted by search firms to any employee working at AAA, Inc., either by email, the Internet, or in any form and method, without a valid written Statement of Work in place for this position from AAA, Inc. will be deemed the sole property of AAA, Inc. No fee will be paid if AAA, Inc. hires the candidate due to the referral or through other means.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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