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Data Analytics Engineer Jobs in Florida (NOW HIRING)

Data Analyst

Miami, FL · On-site +1

$75K - $85K/yr

Data Analytics * Management Information Systems * Economics * Engineering * Operations Research * Mathematics * Applied Mathematics * Statistics * Or a related quantitative field Experience

Gather business requirements and create functional specifications for advanced data engineering needs * Support end users by responding to reporting and analytics inquiries while contributing to ...

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Working closely with analysts, BI developers, and business stakeholders, the Data Engineer ensures data is reliable, secure, and optimized for self-service analytics (e.g., Power BI), enabling ...

... analytics, having worked with gathering or managing data sets * Education : Bachelor's degree in STEM with a preference towards Data Science, Computer Science, or Software Engineering

... analytics, having worked with gathering or managing data sets * Education : Bachelor's degree in STEM with a preference towards Data Science, Computer Science, or Software Engineering

CRM Analytics Engineer

Tampa, FL · On-site

$105K - $130K/yr

This is a hands-on technical role for an analytics engineer who can translate complex revenue ... Analytical Data Modeling * Build and maintain CRM Analytics datasets, recipes, dataflows, and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Showing results 41-60

Data Analytics Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do data analytics engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data analytics engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Florida?

The most popular types of Data Analytics Engineer jobs in Florida are:

What cities in Florida are hiring for Data Analytics Engineer jobs?

Cities in Florida with the most Data Analytics Engineer job openings:

Infographic showing various Data Analytics Engineer job openings in Florida as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

Data & Analytics Product Manager

FourthSquare

Tampa, FL • On-site

Other

Posted 12 days ago


Job description

Data & Analytics Product Manager – Tampa, FL

Location: Tampa, FL
Job Type: Contract 

We are looking for an experienced Data & Analytics Product Manager to manage data products and analytics initiatives, working closely with business and technical teams.

Key Responsibilities:

  • Own the data and analytics roadmap, product backlog, priorities, and delivery.
  • Gather business requirements and translate them into technical requirements and user stories.
  • Partner with data engineering, architecture, BI, and business teams to deliver data solutions.
  • Support the development and management of ETL/ELT pipelines, data models, and transformation processes.
  • Work with SQL, data warehouses, data lakes, and cloud analytics platforms.
  • Support dashboards and reporting using tools such as Power BI, Tableau, or Oracle Analytics.
  • Help drive data governance, data quality, and data product adoption.
  • Communicate product updates, insights, and roadmap progress to stakeholders and leadership.

Required Skills:

  • 5+ years of experience in Data Analytics, BI, Data Engineering, or related fields.
  • 2+ years of experience in Product Management, Product Ownership, or Business Analysis.
  • Strong SQL, data modeling, ETL/ELT, and data pipeline experience.
  • Experience with Snowflake, Azure, AWS, or similar cloud data platforms.
  • Experience working in Agile/Hybrid environments with backlog and sprint management.
  • Strong communication and stakeholder management skills.
  • Oracle Fusion/ERP experience is a plus.