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Data Warehouse Developer 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 ...

Design, develop, and maintain data warehouse, ETL, and Business Intelligence solutions. * Create and maintain reports and dashboards using BI tools such as Power BI and SSRS. * Collaborate with ...

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Expertise and hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps. * Expertise in SQL Server DB, SQL Server Data Warehouse. * Collaborate with project ...

This role involves leading technical implementation of data pipelines, warehouses, and analytics ... for data engineering, setting standards for code quality, pipeline design, data modeling, and ...

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Data Warehouse Developer information

See Florida salary details

$10

$40

$54

How much do data warehouse developer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for data warehouse developer in Florida is $40.67, according to ZipRecruiter salary data. Most workers in this role earn between $35.38 and $48.51 per hour, depending on experience, location, and employer.

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

To thrive as a Data Warehouse Developer, you need expertise in data modeling, ETL processes, SQL, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with data warehousing tools (such as Informatica, Talend, or SSIS), OLAP systems, and cloud data platforms is highly valuable, along with relevant certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout professionals apart in this role. These skills are crucial for designing efficient data solutions, ensuring data integrity, and enabling business intelligence for informed decision-making.

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

Data Warehouse Developers often encounter challenges with data consistency, varying data formats, and incomplete or poor-quality data when integrating information from multiple sources. Resolving these issues typically involves designing robust ETL (Extract, Transform, Load) processes, implementing data cleansing routines, and collaborating closely with data owners and business analysts to understand data lineage and requirements. Adapting to frequent changes in source systems and ensuring the warehouse remains scalable and performant can also be demanding, but they provide valuable opportunities to develop problem-solving skills and deepen technical expertise.

What are Data Warehouse Developers?

Data Warehouse Developers are IT professionals who design, build, and maintain data warehouse systems that consolidate and organize data from multiple sources. They create data models, develop extraction, transformation, and loading (ETL) processes, and ensure data integrity and optimal performance for analytics and reporting. Their work supports business intelligence efforts by making large volumes of data accessible and useful for decision-making.

What Is a Data Warehouse Developer?

A data warehouse developer designs and implements data warehouses, which are meant to store large amounts of data for easy retrieval by a business or organization. In this role, your duties are to develop storage architecture, design big data models, and create ways to input transactions, such as sales, receipts, customer data, and user downloads. Working with other developers, you ensure that the warehouse can both receive customer and client data and return it as output to analysts who can make recommendations based on their interpretation.

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

AspectData Warehouse DeveloperData Analyst
CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDesigning, developing, and maintaining data warehouses; working with ETL tools and database systemsAnalyzing data sets, creating reports, and providing insights using BI tools
Industry UsageUsed across industries for data storage and managementUsed across industries for data analysis and reporting

The main difference is that Data Warehouse Developers focus on building and maintaining data storage systems, while Data Analysts interpret data to support business decisions. Both roles require strong technical skills and often overlap in data handling tasks, but their core responsibilities differ.

What are popular job titles related to Data Warehouse Developer jobs in Florida? For Data Warehouse Developer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Warehouse Developer jobs in Florida look for? The top searched job categories for Data Warehouse Developer jobs in Florida are:
Infographic showing various Data Warehouse Developer job openings in Florida as of July 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 72% In-person, and 28% Remote job distribution, with an average salary of $84,596 per year, or $40.7 per hour.
Data Warehouse Engineer

Data Warehouse Engineer

Kalera

Orlando, FL

Full-time

Posted 17 days ago


Job 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.