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Business Intelligence Data Engineer Jobs in Florida

Alivi

Director of Business Intelligence

Miami, FL · On-site

Lead a team of BI developers, data engineers, data analysts, and architects. * Partner with ... Business Intelligence, Reporting & Self-Service Analytics * Lead the design, development, and ...

Alivi

Director of Business Intelligence

Miami, FL · On-site

Lead a team of BI developers, data engineers, data analysts, and architects. * Partner with ... Business Intelligence, Reporting & Self-Service Analytics * Lead the design, development, and ...

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 ...

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 ...

WellDyne

Lead Data Engineer

Lakeland, FL

$106K - $127K/yr

Data Platform Engineering: * Design and build scalable, reliable data pipelines that ingest ... Partner with analytics, business intelligence, and product teams to understand data needs and ...

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Business Intelligence Data Engineer information

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

As of Jul 31, 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.

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 are the key skills and qualifications needed to thrive as a Business Intelligence Data Engineer, and why are they important?

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.

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 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.

What are popular job titles related to Business Intelligence Data Engineer jobs in Florida? For Business Intelligence Data Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Business Intelligence Data Engineer jobs in Florida look for? The top searched job categories for Business Intelligence Data Engineer jobs in Florida are:
Business Intelligence Data Engineer jobs near you
Infographic showing various Business Intelligence Data Engineer job openings in Florida as of July 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $88,673 per year, or $42.6 per hour.

Director of Business Intelligence

Alivi

Miami, FL • On-site

Full-time

Posted 17 days ago

Job description

SUMMARY
The Director of Business Intelligence is responsible for defining and executing the organization's enterprise data and analytics strategy to enable data-driven decision-making across all business functions. This leader provides strategic oversight of Business Intelligence, Data Engineering, Data Governance, and Analytics while partnering with executive leadership to transform enterprise data into measurable business value.
DUTIES & RESPONSIBILITIES
Enterprise Data Strategy & Leadership
  • Serve as the enterprise leader for data governance, data quality, data security, and data management best practices.
  • Establish and maintain enterprise data standards, policies, and procedures.
  • Lead a team of BI developers, data engineers, data analysts, and architects.
  • Partner with executive leadership to identify opportunities where analytics can drive operational and financial performance.
  • Develop and manage BI roadmaps, project portfolios, resource planning, and departmental budgets.

Data Warehouse & Data Lake Architecture
  • Develop scalable data platforms capable of integrating structured and unstructured data from internal and external sources.
  • Lead the development of modern ELT/ETL frameworks and data pipelines.
  • Ensure data models support operational reporting, executive dashboards, predictive analytics, and self-service business intelligence.
  • Establish data lineage, metadata management, master data management, and data cataloging standards.
  • Optimize data storage, performance, scalability, and data accessibility across the organization.

Data Engineering & Data Management
  • Direct enterprise-wide data integration initiatives involving financial, operational, clinical, customer, and third-party systems.
  • Ensure the accuracy, completeness, consistency, and reliability of organizational data assets.
  • Implement processes to monitor data quality and proactively resolve data integrity issues.
  • Oversee data migration, transformation, validation, and reconciliation activities.
  • Establish data retention, archival, security, and compliance standards.
  • Evaluate emerging technologies and platforms to improve enterprise data capabilities.

Business Intelligence, Reporting & Self-Service Analytics
  • Lead the design, development, and deployment of executive dashboards, scorecards, and interactive reporting solutions.
  • Establish enterprise KPI frameworks and performance management metrics.
  • Develop self-service analytics capabilities using modern BI tools.
  • Ensure dashboards provide actionable insights and support strategic, tactical, and operational decision-making.
  • Partner with business stakeholders to gather requirements and translate business needs into scalable reporting solutions.
  • Continuously improve reporting environments to enhance user experience, adoption, and data accessibility.

Advanced Analytics, Artificial Intelligence & Innovation
  • Guide the development of predictive, prescriptive, and diagnostic analytics solutions.
  • Lead initiatives focused on trend analysis, forecasting, segmentation, profitability analysis, resource optimization, and operational performance.
  • Provide strategic recommendations based on complex analyses and business intelligence findings.
  • Drive organization-wide adoption of data-driven decision-making practices.
  • Present analytical findings and business recommendations to executive leadership and key stakeholders.

Operational and Financial Analytics
  • Support financial performance initiatives through advanced reporting and analytics.
  • Develop enterprise reporting for revenue, profitability, cost management, utilization, productivity, and operational effectiveness.
  • Monitor key performance indicators and identify opportunities for process improvement.
  • Collaborate with Finance, Operations, Compliance, and Business Development teams to support strategic initiatives.

Stakeholder Management
  • Partner with business leaders to identify analytics opportunities and prioritize BI initiatives.
  • Act as a trusted advisor to executive leadership on data strategy and business intelligence matters.
  • Communicate complex technical concepts and analytical findings to both technical and non-technical audiences.
  • Foster a culture of collaboration, innovation, and continuous improvement across the organization.

REQUIREMENTS & QUALIFICATIONS
Education
  • Bachelor's degree in computer science, Information Systems, Data Analytics, Business Intelligence, Engineering, Mathematics, or related field required.
  • Master's degree preferred.

Experience
  • 8+ years of progressive experience in Business Intelligence, Data Engineering, Data Architecture, Analytics, or related disciplines.
  • 5+ years of leadership experience managing BI, Analytics, or Data Engineering teams.
  • Experience designing and managing enterprise Data Warehouses and Data Lakes.
  • Proven experience leading enterprise-scale data transformation initiatives.
  • Experience supporting executive leadership with strategic reporting and analytics.

Technical Skills
  • Advanced SQL expertise.
  • Data Warehouse Architecture (Kimball, Star Schema, Snowflake Models).
  • Data Lake and Modern Data Platform Architecture.
  • Data Modeling and Database Design.
  • ETL/ELT Development and Data Integration.
  • Microsoft SQL Server, Azure, AWS, Snowflake, Databricks, or equivalent cloud platforms.
  • Data Governance and Master Data Management.
  • Python, R, or other analytics programming languages preferred.
  • Agile project management methodologies.

COMPETENCIES
Strategic Leadership
  • Develop long-term data and analytics strategies aligned with organizational goals.
  • Drives enterprise-wide adoption of data-driven decision-making.

Data Architecture & Management
  • Designs scalable and sustainable data environments.
  • Ensures strong governance, quality, security, and accessibility of data assets.

Business Intelligence
  • Translate complex business requirements into impactful dashboards and reporting solutions.
  • Establish meaningful KPIs and performance monitoring systems.

Analytical Thinking
  • Synthesizes complex data into actionable business insights.
  • Identifies trends, risks, opportunities, and operational improvements.

Project & Program Management
  • Leads large-scale cross-functional initiatives.
  • Effectively manages priorities, resources, timelines, and stakeholder expectations.

Communication & Executive Presence
  • Influences decision-making through data storytelling and strategic recommendations.
  • Effectively communicates with executive leadership, board members, clients, and operational teams.

Innovation & Continuous Improvement
  • Champions emerging technologies and modern analytics practices.
  • Continuously improves data platforms, reporting capabilities, and organizational analytics maturity.

HOW WE BEHAVE: CORE VALUES
  • Collaborative - We are friendly, and always ready to lend a hand; We are humble, and willing to admit mistakes; We trust our team and use respectful conflict to make decisions.
  • Entrepreneurial - We are personally committed, and hunger for Alivi's success; We show passion and do more with what we have; We don't give up and always find ways to get the job done.
  • Dynamic - We gladly welcome change; We are smart, and challenge how things are done. We adapt quickly, and readily embrace new roles, and projects.

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