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Data Warehouse Engineer Jobs in Florida (NOW HIRING)

The Data Warehouse Engineer role is to develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI ensuring high levels of data accessibility and availability. They ...

The Data Warehouse Engineer role is to develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI ensuring high levels of data accessibility and availability. They ...

We partner with top companies to deliver high-quality talent in engineering, IT, and emerging ... We are seeking a Data Warehouse Analyst to join our team. This role will involve gathering and ...

Lead Data Engineer

Lakeland, FL

$106K - $127K/yr

Develop and maintain the enterprise data warehouse, data lake, and analytical data models that ... Mentor data engineers across all levels, fostering a culture of technical excellence, knowledge ...

Data Eng Sr

Fort Walton Beach, FL · On-site

$79K - $134K/yr

We are seeking an experienced Cloud Data Warehouse and AI/ML Engineer to design, build, and maintain large-scale data warehouses, ETL pipelines, and AI/ML models that drive data-driven decision ...

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Develop and maintain the enterprise data warehouse, data lake, and analytical data models that ... Mentor data engineers across all levels, fostering a culture of technical excellence, knowledge ...

... warehouse environment. The Senior Data Engineer designs and maintains curated datasets and data products that support reporting, analytics, machine learning, and operational decision-making. The ...

Experience with Cloud Data Warehouse products such as Snowflake or Azure Synapse * Experience with ... Experience programming in SQL with ability to develop complex queries against large disparate data ...

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Data Warehouse Engineer information

See Florida salary details

$64.6K

$94.5K

$119.9K

How much do data warehouse engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data warehouse engineer in Florida is $94,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $102,000.00 per year, depending on experience, location, and employer.

What are Data Warehouse Engineers?

Data Warehouse Engineers are IT professionals who design, build, and maintain systems used for storing and analyzing large volumes of data. They create data models, implement ETL (Extract, Transform, Load) processes, and ensure data integrity and optimized performance within the data warehouse environment. Their work enables organizations to efficiently store data from various sources and make it accessible for business intelligence and analytics. Data Warehouse Engineers often collaborate with data analysts, data scientists, and database administrators to support informed decision-making.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for skilled data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise remains critical for managing data quality, security, and architecture. Proficiency in tools like SQL, Python, and cloud platforms continues to be valuable in this evolving field.

Can I make 200K as a data engineer?

Data Warehouse Engineers with extensive experience, advanced skills in SQL, ETL tools, and cloud platforms can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or with senior roles. Salary levels depend on factors such as location, industry, certifications, and company size.

What does a data warehouse engineer do?

A data warehouse engineer designs, develops, and maintains data storage systems that aggregate and organize large volumes of data for analysis. They work with tools like SQL, ETL processes, and data modeling to ensure data is accessible, accurate, and efficient for business intelligence and reporting. Strong programming skills and knowledge of database systems are essential for this role.

What engineers make 500,000?

Senior data warehouse engineers with extensive experience, advanced skills in SQL, ETL tools, and cloud platforms can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large organizations. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data systems.

What is the difference between Data Warehouse Engineer vs Data Analyst?

AspectData Warehouse EngineerData Analyst
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Google CloudBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentDesigning, building, maintaining data warehouses; working with ETL toolsAnalyzing data, creating reports, visualizations
Industry UsageUsed in organizations managing large-scale data infrastructureUsed across industries for business insights and decision-making

While both roles work with data, Data Warehouse Engineers focus on building and maintaining data storage systems, whereas Data Analysts interpret data to generate insights. They often collaborate but have distinct technical and functional responsibilities.

What are some common challenges Data Warehouse Engineers face when integrating data from multiple sources?

Data Warehouse Engineers often encounter challenges such as data inconsistency, varying data formats, and incomplete or duplicate records when integrating information from diverse systems. Addressing these issues requires careful planning, robust ETL (Extract, Transform, Load) processes, and close collaboration with source system owners and data analysts. Additionally, ensuring data quality and maintaining up-to-date documentation are crucial to support efficient troubleshooting and future scalability.

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

To thrive as a Data Warehouse Engineer, you need expertise in database design, ETL processes, SQL, and data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like Microsoft SQL Server, Oracle, Informatica, and cloud platforms such as AWS Redshift or Google BigQuery, as well as certifications in these technologies, are valuable. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with stakeholders and address data challenges efficiently. These skills ensure the reliable integration, storage, and retrieval of high-quality data, which is critical for business intelligence and decision-making.
What job categories do people searching Data Warehouse Engineer jobs in Florida look for? The top searched job categories for Data Warehouse Engineer jobs in Florida are:
What cities in Florida are hiring for Data Warehouse Engineer jobs? Cities in Florida with the most Data Warehouse Engineer job openings:
Infographic showing various Data Warehouse Engineer job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,532 per year, or $45.4 per hour.
Data Warehouse Engineer

Data Warehouse Engineer

Kalera

Orlando, FL • On-site

Full-time

Posted 17 days ago


Job description

Description
What You'll Do
Our Data Warehouse Engineer will be part of a team that will manage the operations and analytics of the product data warehouse at Kalera. The Data Warehouse Engineer role is to develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI ensuring high levels of data accessibility and availability. They will also evaluate and advise on database architecture in the product data warehouses. If you love cross-departmental collaboration, data warehouse design, technical execution, and thrive in an environment of project ownership then we want to hear from you.
Take a peek!
    • Works closely with IT partners and the product teams to lead and participate in the identification, planning, prioritizing, requirements gathering, design, development and implementation of all Data Warehousing and BI projects.
    • Architect and maintain data warehouses to support ease of data modeling, reporting, and analysis using dimensional model architecture (such as star schemas and OLAP cubes)
    • With support from the product team you will gather requirements to grow and improve the data warehouse for reporting, BI integration, and ad hoc analysis
    • Makes recommendations, based on data profiling and data analysis, for changes to existing/legacy systems particularly in the area of data warehouse architecture
    • Develop and maintain database stored procedures, views, and functions that support data models
    • Works with non-technical, subject matter experts to understand underlying data behavior and characteristics in ways that will be new for such non-technical people.
    • Develop and maintain ETL processes, diagnose and resolve database access and performance issues, and plan and coordinate backup and disaster recovery setup
    • Provide expert thought leadership in the development and implementation of data governance policies and processes
    • Provide data management support and work cooperatively with the product team to resolve data and process issues
    • Create and maintain technical documentation

What you'll have!
    • Bachelor's degree in Computer Science, Computer Engineering or relevant field.
    • At least five years or more of experience in ETL processes, data warehouse architecture and or administration within the Microsoft/SQL stack
    • Strong familiarity with Kimball methodologies of data warehousing
    • Ability to communicate verbally and in writing with end users and technical users to translate requirements from end users into useful visualizations and analysis
    • Comprehensive grasp of data visualization methods and data modeling for effective database architecture to streamline business analysis and reporting
    • SSMS, ETL Tooling, Reporting experience such as Power BI or equivalent tools
    • In-depth understanding of data management (e.g. permissions, recovery, security, and monitoring)
    • Broad business experience with proficient ability to talk in business terms
    • Excellent verbal and written communication skills

Equal Opportunity Employer
At Kalera, Inc. all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.