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Data Analytics Engineer Jobs in Florida (NOW HIRING)

UAB

ADVANCED ANALYTIC ENGINEER

Tampa, FL · On-site

$100K/yr

... an analytics portfolio. Develops, deploys, and maintains data pipelines using tools such as Python ... Bachelor's degree in information systems, data science, computer/electrical engineering, or related ...

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Data Analytics Engineer information

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$33.3K

$96.9K

$132.6K

How much do data analytics engineer jobs pay per year?

As of Jun 12, 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.

Can I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

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.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

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 deliver actionable insights.
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 are popular job titles related to Data Analytics Engineer jobs in Florida? For Data Analytics Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Florida look for? The top searched job categories for 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:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Florida as of June 2026, with employment types broken down into 57% Full Time, 37% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.
ADVANCED ANALYTIC ENGINEER

ADVANCED ANALYTIC ENGINEER

UAB

Tampa, FL • On-site

$100K/yr

Other

Posted 10 days ago

UAB Medicine rating

7.4

Company rating: 7.4 out of 10

Based on 185 frontline employees who took The Breakroom Quiz

252nd of 871 rated healthcare providers

Job description

DUTIES: Develops and maintains solutions in machine learning, reporting, visualization, predictive modeling, and other analytics technology components, such as artificial intelligence, to support an analytics portfolio.
Develops, deploys, and maintains data pipelines using tools such as Python and Airflow. Designs and
develops customer analytics deliverables, including self-service reports, dashboards, and predictive models.
Documents deliverables in the form of code repositories, internal white papers, cookbooks, design
documents, and Jupyter notebooks. Provides training and guidance on analytics systems, predictive models,
and deliverables, as needed.
 

WAGE:    $100,558.24

REQUIREMENTS: Bachelor's degree in information systems, data science, computer/electrical engineering, or related field covering data mining, statistical analysis, predictive analytics, machine learning, or database systems and three years of related experience as a Software Engineer/Developer, Analytics Engineer, Data Scientist/Engineer/Analyst, or similar. Skills in Python, SQL, R, PL/SQL, Tableau, Power BI, Linux, AirFlow, Banner, and experience in a higher education environment.
 
 
 
 
 
 
UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.
 

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