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Data Warehouse Engineer Jobs in Florida (NOW HIRING)

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 ...

Sr Data Engineer

Orlando, FL · On-site

$148K - $199K/yr

... 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 ...

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 ...

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

... warehouse, data lake, and analytical data models that serve reporting and analytics use cases. • ... for data engineering, setting standards for code quality, pipeline design, data modeling, and ...

Data Engineer.

Orlando, FL · On-site

$106K - $128K/yr

Ability to build data models and manage data warehouses. * 3 years of related data engineering/IT experience. * 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala ...

Sr. Data Engineer

Saint Petersburg, FL · Remote

$100K - $136K/yr

Our Data Engineering team builds and maintains the operational data foundation that powers real ... Translate client loyalty program requirements into production-ready data warehouse structures ...

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 ...

* Design, develop, and maintain enterprise data warehouses, cloud data lakes, and lakehouse ... Implement DataOps and CI/CD best practices for data engineering. * Support Dataiku machine learning ...

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

The Data Engineer will play a critical role within the Information Technology organization ... Guidewire Data Warehouse Management: Continue to support and enhance the Guidewire Enterprise Data ...

Strong Python programming skills * Experience designing: ELT pipelines, Data warehouse architectures, Transformation frameworks, Large-scale data pipelines * Experience working in cloud environments ...

Data Eng Sr

Fort Walton Beach, FL · On-site

$79K - $134K/yr

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

Data Engineer

Aventura, FL

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of ... Database and Data Warehousing · Design, implement, and manage relational (SQL) and non-relational ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of ... Database and Data Warehousing • Design, implement, and manage relational (SQL) and non-relational ...

Showing results 21-40

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 Aug 10, 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 is a data warehouse engineer?

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.

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?

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 are popular job titles related to Data Warehouse Engineer jobs in Florida? For Data Warehouse Engineer jobs in Florida, the most frequently searched job titles are:
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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% 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 Quality Engineer

RiseIT Solutions

Orlando, FL • On-site

$120K/yr

Full-time

Re-posted 10 days ago


Job description

Title: Data Quality Engineer
Location: Orlando, FL (100% onsite)
Type: Direct Hire Position
Rate: $120K per year + 8% annual bonus + full benefits + full relocation
Education: Bachelor's degree in IT related discipline or equivalent experience (BS / BA in MIS, Computer Science, Business, Mathematics or Engineering)
The responsibilities of the IT Engineer will provide technical expertise in developing and maintaining a data quality framework. This role will participate in the full data quality lifecycle from requirement elicitation through ongoing support. The candidate selected for this role will create technical design specifications from business/functional requirements or from logged data incidents. The position plays a pivotal role in the definition of our data quality program, which includes policy, process, standards, and tools. The role demands an ability to understand the data semantics, business use and relationships.
REQUIRED TECHNICAL SKILLS:
  • Strong understanding of data structures, data types, and data transformation.
  • Familiarity with industry data patterns, normalizations rules and data performance tuning.
  • Ability to perform complex data mappings, workflows and sessions.
  • Strong relational database skills and an understanding of columnar data structure.
  • Extensive experience with SQL, and other data transformation/analytics tools such as Informatica, Talend, or Alteryx.
  • Advanced expertise in reading, analyzing and debugging SQL.
  • Ability to troubleshoot data processing performance issue.
  • Experience or willingness to learn data profiling/quality tools such as Collibra, Ataccama, Informatica or OEDQ.
  • Experience or willingness to learn SparkSQL and Databricks.
  • Highly developed analytical, problem solving and debugging skills, with strong ability to quickly learn and comprehend business processes and problems in order to effectively analyze result set and triage quality issues.
  • Work with all levels of development from analysis through implementation and support.
  • Expertise in working with spreadsheets, strong understanding of financial concepts and data.
  • Ability to work independently, take ownership of tasks and follow through to implementation/resolution.
  • Resolve end user data problems through collaboration with both technical and functional personnel in a team environment.
  • Demonstrated competency in designing, developing and testing complex rule sets.
  • Demonstrated competency in accurately identifying the scope of work and preparing thorough, accurate and estimates.
  • Exceptional verbal and written communications skills, with an ability to express complex technical concepts in business terms.
  • Solid teamwork and interpersonal skills.
  • Strong analytical, problemsolving and conceptual skills.
REQUIRED EDUCATION:
Bachelor's degree in IT related discipline or equivalent experience (BS / BA in MIS, Computer Science, Business, Mathematics or Engineering)
OTHER KEY QUALIFICATIONS:
  • Data modeling Experience
  • Exposure to Cloud Infrastructure
  • Experience with Cloud Data Warehouse products such as Snowflake or Azure Synapse
  • Experience with data integration patterns, data pipelines and tools such as Azure Data Factory
  • Experience using reporting tools like Power BI for Data quality visualizations
  • Knowledge of Data and Delta Lake Structures
  • Experience with Python, Scala or Java
  • Knowledge of restaurant or retail business
SKILLS AND EXPERIENCE:
  • 7+ years’ experience across Business Intelligence/Data Warehouse/Data Lake projects
  • 2+ years’ experience on Data Quality and Governance initiatives, with at least one successful implementation
  • Experience programming in SQL with ability to develop complex queries against large disparate data sets