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Dwh Jobs in Florida (NOW HIRING)

Sonsoft Inc

BI/ Business Analyst

Tampa, FL · On-site

Good understanding of DWH concepts * Good hands on to complex SQL * Good communication having experience in requirement discussion with client * Experience in data analysis based on requirements.

Sonsoft Inc

Datawarehouse Business Analyst

Tampa, FL · On-site

Good understanding of DWH concepts * Good hands on to complex SQL * Good communication having experience in requirement discussion with client * Experience in data analysis based on requirements.

Sonsoft Inc

Datawarehouse Business Analyst

Tampa, FL · On-site

Good understanding of DWH concepts * Good hands on to complex SQL * Good communication having experience in requirement discussion with client * Experience in data analysis based on requirements.

Sonsoft Inc

Datawarehouse Business Analyst

Tampa, FL · On-site

Good understanding of DWH concepts * Good hands on to complex SQL * Good communication having experience in requirement discussion with client * Experience in data analysis based on requirements.

Nastech Global

Database Developer

Tampa, FL · On-site

Design and development of Cloud based DWH using Snowflake * Implementation and Roll-out of on prem and cloud-based application development projects * Work on fixing application issues and enhancement ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

... DWH), Azure SQL Database, Azure Data Bricks, Spark, and Data Explorer. * 2 to 4 years of designing Big Data Pipelines supporting Data Science Use Cases. * Practical experience in Python and at least ...

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$21

$41

$57

How much do dwh jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for dwh in Florida is $41.62, according to ZipRecruiter salary data. Most workers in this role earn between $25.67 and $57.50 per hour, depending on experience, location, and employer.

What is a data warehouse professional?

DWH (Data Warehouse) professionals are specialists who design, develop, and maintain data warehouse systems that store and organize large volumes of data for organizations. They work with various data sources to consolidate, clean, and structure data, making it easily accessible for analysis and reporting. Their responsibilities often include data modeling, ETL (Extract, Transform, Load) processes, performance tuning, and ensuring data security and integrity. DWH professionals play a crucial role in supporting business intelligence and decision-making by providing reliable and timely data insights.

What are common challenges faced by data warehouse professionals when integrating data from multiple sources?

Data Warehouse professionals often encounter challenges such as data inconsistency, varying data formats, and differing update frequencies when integrating information from multiple sources. Resolving these issues requires strong data modeling skills, attention to detail, and the ability to collaborate with data owners and business analysts. Overcoming these challenges not only ensures data accuracy and reliability but also provides valuable experience that can support career growth into data architecture or analytics leadership roles.

What are the key skills and qualifications needed to thrive as a data warehouse specialist?

To thrive as a Data Warehouse (DWH) Specialist, you need strong expertise in database management, data modeling, ETL processes, and SQL, often supported by a degree in computer science or a related field. Familiarity with tools like Informatica, Microsoft SQL Server, Oracle, or AWS Redshift, as well as certifications in relevant platforms, is typically required. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating with stakeholders and addressing data needs. These skills and qualities are vital to ensure reliable, high-quality data storage and reporting that support organizational decision-making.

What is the role of a data warehouse specialist?

A data warehouse specialist designs, develops, and maintains data warehouse systems to store and organize large volumes of data for analysis and reporting. They work with database tools, ETL processes, and data modeling to ensure data quality, integrity, and accessibility for business intelligence purposes.

What are popular job titles related to Dwh jobs in Florida?

For Dwh jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Dwh jobs in Florida look for?

The top searched job categories for Dwh jobs in Florida are:

What cities in Florida are hiring for Dwh jobs?

Cities in Florida with the most Dwh job openings:

Dwh jobs near you
Infographic showing various Dwh job openings in Florida as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 86% Physical, 7% Hybrid, and 7% Remote job distribution, with an average salary of $86,561 per year, or $41.6 per hour.

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

$51 - $63.25/hr

Contractor

Re-posted 18 days ago

Job description

ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_
Candidate BeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Thomas Hodges
Targeted - hr
REQUIREMENT_CITY - Chicago
REQUIREMENT_ID-10866792
Role Name - Azure Data Engineer
ROLE_DESCRIPTION -
Role Descriptions: Azure Data engineer: Min. 10+ years of experience with good work experience in Banking domainStrong experience in Azure Databricks| ADLS| Synapse and Azure Data FactoryExperience in creating data pipelines and migrating data from on-prem database to Azure Cloud DBCreating Azure Databricks servicesReading & writing data from/to Azure Blob storage & Azure Synapse Gen2 storage using Azure Databricks services after receiving in different formats (e.g. csv| Parquet| Jason etc.) from Snowflake DWH platformHands-on experience in working with Databricks File system (DBFS)Experience in working with RDD| Dataframe| Azure SQL databaseExperience working in Snowflake would be preferredVery strong experience in SQL and PythonVery good analytical and problem-solving abilityVery good communication skills.
Essential Skills: Azure Data engineer: Min. 10+ years of experience with good work experience in Banking domainStrong experience in Azure Databricks| ADLS| Synapse and Azure Data FactoryExperience in creating data pipelines and migrating data from on-prem database to Azure Cloud DBCreating Azure Databricks servicesReading & writing data from/to Azure Blob storage & Azure Synapse Gen2 storage using Azure Databricks services after receiving in different formats (e.g. csv| Parquet| Jason etc.) from Snowflake DWH platformHands-on experience in working with Databricks File system (DBFS)Experience in working with RDD| Dataframe| Azure SQL databaseExperience working in Snowflake would be preferredVery strong experience in SQL and PythonVery good analytical and problem-solving abilityVery good communication skills.
Skills: Digital : Microsoft Azure~Digital : Python~Digital : Databricks
Experience Required: 10 & Above

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