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Bi Engineer Jobs in Florida (NOW HIRING)

Dynasty Financial Partners

BI Engineer

Saint Petersburg, FL · On-site

$48.25 - $62.75/hr

We are looking for a BI Engineer to own the delivery of Dynasty Analytics products. You will work hands-on with a state-of-the-art data lake platform and partner closely with our data engineers and ...

Vaco by Highspring

BI Engineer

Tampa, FL · On-site

$46.50 - $60.25/hr

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training ...

Vets Hired

BI Developer

Fort Lauderdale, FL

Job Summary The BI Developer is responsible for designing, developing, and maintaining business intelligence solutions, data warehouses, ETL processes, reports, dashboards, and analytical ...

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All JobsBi Engineer JobsBi Engineer Jobs in Florida

Bi Engineer information

See Florida salary details

$29.1K

$76K

$102.8K

How much do bi engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for bi engineer in Florida is $76,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $87,100.00 per year, depending on experience, location, and employer.

How much does a BI engineer make at Costco?

A Business Intelligence (BI) Engineer at Costco typically earns an average salary ranging from $80,000 to $120,000 annually, depending on experience, location, and specific responsibilities. They often work with data analysis tools and require strong SQL and data visualization skills.

What are BI Engineers?

BI Engineers, or Business Intelligence Engineers, are professionals who design, develop, and maintain data solutions to help organizations make informed business decisions. They build and manage databases, data pipelines, and reporting systems that transform raw data into actionable insights. BI Engineers often work with tools such as SQL, ETL (Extract, Transform, Load) frameworks, and visualization platforms like Tableau or Power BI. Their work enables companies to analyze trends, identify opportunities, and improve overall performance.

What is the difference between Bi Engineer vs Data Analyst?

AspectBi EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering, or related field; often certifications in data toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentData warehouses, ETL pipelines, cloud platformsData visualization tools, spreadsheets, reporting platforms
Employer & Industry UsageTech companies, finance, healthcare, retailBusiness, marketing, finance, healthcare
Common Search & Comparison IntentUnderstanding technical data infrastructure rolesInterpreting data for business insights

Bi Engineers focus on building and maintaining data pipelines, warehouses, and infrastructure, requiring technical skills in data engineering. Data Analysts interpret data to generate reports and insights, emphasizing analytical skills. While both roles work with data, Bi Engineers handle the technical backbone, whereas Data Analysts focus on data interpretation for decision-making.

What does a BI engineer do?

A BI (Business Intelligence) engineer designs, develops, and maintains data systems and dashboards to help organizations analyze and visualize data for decision-making. They work with tools like SQL, data warehouses, and visualization platforms, often requiring strong analytical skills and knowledge of data modeling. BI engineers ensure data accuracy and accessibility for business insights.

What are the key skills and qualifications needed to thrive as a BI Engineer, and why are they important?

To thrive as a BI Engineer, you need strong analytical skills, proficiency in data modeling, and a solid background in computer science or information systems. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as expertise in SQL, ETL processes, and data warehousing technologies, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you convey complex insights to stakeholders. These skills are crucial for transforming raw data into actionable business intelligence that drives informed decision-making.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or certain senior software engineering roles can earn $500,000 or more annually, often including bonuses and stock options. These positions typically require advanced skills, extensive experience, and often work in high-stakes or high-demand industries.

What engineers make $300,000 a year?

Senior engineers in fields such as software, petroleum, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-paying engineering positions often require specialized expertise, advanced degrees, and sometimes work in high-demand industries or locations with premium compensation packages.

How does a BI Engineer typically collaborate with data analysts and business stakeholders to deliver actionable insights?

A BI Engineer often works closely with data analysts to design data models, build efficient ETL pipelines, and ensure the accuracy and accessibility of data within business intelligence tools. They partner with business stakeholders to gather requirements, translate business needs into technical solutions, and present data in a way that supports decision-making. Effective communication and a collaborative mindset are crucial, as BI Engineers frequently participate in meetings to align on project goals, clarify data definitions, and iterate on dashboards or reports based on feedback.
What are popular job titles related to Bi Engineer jobs in Florida? For Bi Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Bi Engineer jobs in Florida look for? The top searched job categories for Bi Engineer jobs in Florida are:
Bi Engineer jobs near you
Infographic showing various Bi Engineer job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $76,039 per year, or $36.6 per hour.

BI Engineer

Dynasty Financial Partners

Saint Petersburg, FL • On-site

$48.25 - $62.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Job Overview
Dynasty Financial Partners is building a leading wealth technology platform. We are looking for a BI Engineer to own the delivery of Dynasty Analytics products. You will work hands-on with a state-of-the-art data lake platform and partner closely with our data engineers and Product team. A core part of the job is understanding the questions the business is trying to answer with data, then turning our platform data into deep, reliable analytics the platform can be built on.
What You Will Do
  • Own the analytics product from an engineering perspective and be accountable for its delivery.
  • Work hands-on with our data lake platform to model and shape data into clean, reliable, reusable datasets, and to power deep analytics.
  • Build Power BI data products (data model, DAX, and performant reports) that Product and the business rely on.
  • Partner closely with data engineers and the Product team to understand the questions they need answered and deliver the analytics behind them.
  • Turn one-off requests into repeatable, production-quality data products that improve accuracy, efficiency, and self-service.
  • Collaborate with the team to build the analytics platform of the future, assessing and bringing in new tools as the platform evolves.

Requirements
What You Bring
  • 3+ years of experience in a similar analytics, business intelligence, or analytics engineering role.
  • Expert-level Power BI skills. You can build a full data model, write clean DAX, and design reports that are fast, accurate, and genuinely useful, not just charts on a page.
  • Excellent communication skills, and the ability to understand what answers the Product team and the business are trying to get out of the data.
  • Hands-on knowledge of data lake technology and how to work with data at scale.
  • Strength in deep analytics, not just reporting.
  • A fast learner who picks up new tools and platforms quickly and enjoys doing so.
  • Ability to own and deliver several analytics workstreams at once, on time.
  • A self-starter and team player who uses data to think creatively about business problems.
  • Relevant BA/BS degree, or equivalent hands-on experience.
  • Familiarity with AI tools such as ChatGPT, Claude, or Copilot.

Nice to Have
  • Experience with Databricks.
  • Knowledge of the wealth management or broader financial services industry.
  • Experience with Python or other scripting for data work.

What Success Looks Like in Year One
  • Own the analytics product end to end and be accountable for its delivery.
  • Ship production-quality Power BI and data-lake-backed analytics that Product and the business rely on day to day.
  • Partner with data engineering and Product to shape and deliver the analytics roadmap.

Why Dynasty
You will join a small, high-impact team at the center of Dynasty's data strategy, owning a product that matters and helping build the analytics platform of the future. You will learn and apply agile practices that support fast, high-quality delivery, and you will do it alongside smart, collaborative people in a positive environment. We believe that when good people work well together, they build something special.
Benefits:
  • Health Insurance
  • Dental insurance
  • Vision insurance
  • Retirement plan 401(k)
  • 401(k) matching
  • Paid Time Off
  • FSA/HSA benefits plans
  • Disability benefits
  • Voluntary Life Insurance
  • Basic Life Insurance

EQUAL EMPLOYMENT OPPORTUNITY: Dynasty Financial Partners is committed to providing equal employment opportunities and ensuring that all employment-related decisions are made without regard to race, color, sex, age, national origin, religion, physical or mental disability (unrelated to the ability to perform job duties) veteran status, or any other protected status under applicable law.

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