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Business Intelligence Data Engineer Jobs in Florida

WorkNovas LLC

Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Data Engineer Remote but inperson interview in Jacksonville, FL Data Engineer plays a critical role ... data, and business intelligence or analytics platforms such as Tableau or Power BI. Knowledge ...

Professional Staffing Services

Data Engineer

Orlando, FL · Hybrid

$50 - $65/hr

... business intelligence. You will architect modern cloud data topologies, work with both batch and ... Database Programming & Reverse Engineering: Write advanced SQL queries and stored procedures while ...

New

Bridgeway Benefit Technologies

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

The ideal candidate will have a strong background in data engineering, dimensional and semantic data modeling, business intelligence tooling, and ELT processes, along with a passion for making data ...

SolGenie

Business Intelligence Manager

Sarasota, FL · On-site

Knowledge of Data Warehouse ETL, SQL, BI reporting * Experience with Data Lake/Lakehouse * Cognos ... Expert working knowledge of multiple operating systems, databases, tools & programming languages ...

Leidos

Site Reliability Data Engineer

Jacksonville, FL · On-site

$52.75 - $70.25/hr

The Data Engineer works closely with business intelligence, cybersecurity, infrastructure, application, and program teams to translate operational requirements into governed, supportable, and ...

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

Business Intelligence Data Engineer information

See Florida salary details

$21

$42

$59

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

As of Sep 2, 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 87% Full Time, 11% Part Time, and 2% 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

Security First Managers LLC

Ormond Beach, FL • On-site

$95 - $135/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

Security First Managers, LLC is an equal opportunity employer. Employment decisions are based on merit and business needs, and not on race, color, citizenship status, national origin, ancestry, gender, sexual orientation, age, religion, creed, physical or mental disability, marital status, veteran status, political affiliation, or any other factor protected by law. Security First Managers, LLC complies with all applicable laws regarding non-discrimination and equal opportunity employment.

Build the foundation for data-driven decisions.

Data Engineer – design, build, and optimize enterprise data solutions that support analytics, reporting, operational efficiency, and business growth. This role is responsible for developing scalable data architectures, managing database environments, integrating data across internal and external systems, and ensuring the integrity, security, and availability of critical business data.

What You'll Do
  • Design, develop, and maintain relational databases, data models, data warehouses, and scalable database architectures that support reporting, analytics, and business operations.
  • Build, optimize, and support SQL queries, stored procedures, functions, views, and high-performance data schemas to improve data accessibility and performance.
  • Develop data integration solutions and automated workflows that facilitate secure data exchange between Security First and external partners.
  • Monitor, troubleshoot, and maintain database systems, ensuring availability, performance, backup/recovery readiness, capacity planning, and data integrity.
  • Perform advanced data analysis, transform raw data into actionable insights, and support business stakeholders with timely and accurate reporting.
  • Establish and enforce database standards, governance practices, security controls, and best practices across all database environments.
  • Support statutory, regulatory, operational, and ad hoc reporting requirements while meeting critical deadlines and quality standards.
  • Collaborate with business teams to understand data needs, translate requirements into technical solutions, and deliver meaningful analytics and reporting capabilities.
  • Continuously improve data management methodologies, automation processes, and database performance while adopting new technologies and technical skills.
  • Participate in business continuity and catastrophe response efforts as needed, including support during weather-related or other critical business events.
What You'll Bring
  • High school diploma or equivalent
  • 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 business intelligence, or a related field
  • Strong knowledge of Microsoft SQL Server, SQL database administration, Python, MySQL, and PostgreSQL
  • Three (3) years of managing and maintaining multiple SQL instances, supporting enterprise databases, database building, management, and user administration
  • Two (2) years of Statistical Data Modeling techniques experience
  • OR an equivalent combination of education, certification, training, and/or experience
Preferred Qualifications
  • Masters degree in relevant coursework
  • Amazon Web Services (AWS) – including hands-on experience with Redshift Database
  • Experience with ActiveBatch software
  • Proficient with Python, C#, and PowerShell programming languages
  • Microsoft Database technical certifications
  • Five (5) years of Microsoft SQL Server Database experience
  • Two (2) years of MySQL Database experience
  • Experience working in the insurance industry especially with compliance reporting
  • Experience in applied statistical analysis and reporting in a business environment using business intelligence software such as Tableau, Tableau Prep and/or Looker
Why You'll Love Working Here
  • State-of-the-art fitness center
  • Complimentary chef-prepared lunches monthly
  • Beautiful walking trail around our officeTeam Member appreciation events throughout the year
  • Hybrid work environment that supports collaboration and flexibility
  • Food truck events featuring local favorites
  • Professional development, mentoring, and continuing education
  • Competitive benefits package including medical, dental, vision, paid time off, 401(k), and more

Join us and help transform data into insights that drive innovation, operational excellence, and exceptional business outcomes.

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