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Business Intelligence Data Engineer Jobs in Florida

Power BI Data Analyst Associate or Azure Data Engineer Associate. * Experience in cloud-based data ... business intelligence excellence. If you have a passion for data analytics, Power BI, and Azure ...

... Data Engineer) will work closely with business units and technical teams to understand, develop, improve, and maintain BI systems. The Business Intelligence Developer-DE will use their skills and ...

Business Intelligence Engineer

Boca Raton, FL · On-site +1

$48.25 - $62.75/hr

The Leader ensures data accuracy, accessibility, and usability while aligning BI standards and ... Proven experience as a Business Intelligence Engineer, BI Developer, or Data Analyst * Strong ...

Business Intelligence Engineer

Boca Raton, FL · On-site +1

$48.50 - $62.75/hr

The Leader ensures data accuracy, accessibility, and usability while aligning BI standards and ... Proven experience as a Business Intelligence Engineer, BI Developer, or Data Analyst * Strong ...

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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 May 28, 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 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.

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 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.

Infographic showing various Business Intelligence Data Engineer job openings in Florida as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Hybrid job distribution, with an average salary of $88,673 per year, or $42.6 per hour.

Director, Business Intelligence & Data Management Manager

BNY

Lake Mary, FL • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Director, Business Intelligence & Data Management Manager — Markets Engineering

At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We're seeking a future team member for the role of Director, Business Intelligence & Data Management Manager — Markets Engineering, to join our Markets team. This role is located in Pune.

In this role, you'll make an impact in the following ways:

  • This role will drive the technical build-out of a scalable, enterprise-grade data platform that unlocks advanced analytics, reporting, data mining, machine learning, and Generative AI capabilities across the Execution Services application ecosystem. The successful candidate will build smarter — not just faster — by automating routine tasks while driving architectural and strategic advancements.
  • Lead technical contributions to the design, development, and delivery of the Execution Services Data Platform on Enterprise Snowflake.
  • Architect and implement scalable data pipelines and data models using Snowflake, Airflow, DBT, and Python within an Enterprise Data Mesh framework.
  • Enhance data accessibility by providing business users with both programmatic and ad-hoc access to comprehensive data, enabling advanced analytics, reporting, data mining, ML, and Generative AI capabilities.
  • Eliminate data silos by integrating disparate data sources across the Execution Services application ecosystem into a unified, governed platform.
  • Drive cost optimization by removing redundant data copies and reducing infrastructure and maintenance overhead.
  • Adopt and enforce enterprise standards for managing "ADS" data in Snowflake through EDS/EDP federation.
  • Apply AI technologies to automate routine data engineering tasks, improve data quality, and accelerate platform delivery.
  • Collaborate cross-functionally with business stakeholders, data consumers, and enterprise platform teams to align platform capabilities with strategic data commercialization goals.
  • Mentor and guide junior engineers, fostering a culture of engineering excellence and continuous innovation.
  • Design for scale — implement solutions that rapidly scale to meet increasing data volume and user demand.

To be successful in this role, we're seeking the following:

  • Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
  • Experience: 7+ years of hands-on data engineering experience, with a proven track record of building and managing enterprise-scale data platforms.
  • Snowflake: Demonstrated expertise in designing and optimizing data solutions on the Snowflake platform.
  • Airflow: Proficiency in building, scheduling, and monitoring complex data pipelines using Apache Airflow.
  • DBT (Data Build Tool): Strong experience with DBT for data transformation, testing, and documentation within a modern data stack.
  • Python: Advanced proficiency in Python for data engineering, automation, and tooling.
  • Data Architecture: Solid understanding of Data Mesh, data federation, and enterprise data governance patterns.
  • AI/ML Awareness: Working knowledge of AI technologies and their practical applications in data engineering and analytics workflows.

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.