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Data Modeling Jobs in Florida (NOW HIRING)

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

This role requires deep expertise in data analysis, data modeling, and the design of complex ELT pipelines that enable efficient data integration and analytics. The Senior Data Engineer collaborates ...

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

This role requires deep expertise in data analysis, data modeling, and the design of complex ELT pipelines that enable efficient data integration and analytics. The Senior Data Engineer collaborates ...

Data Architect

Tallahassee, FL · On-site

$60.50 - $78/hr

Tallahassee, FL Key Responsibilities • Analyze and verify existing Work Program Datamart and General Ledger data models to assess impacts related to Florida PALM Chart of Account changes. • ...

Should have good exposure to data modeling concepts - star schema / dimensional. Good hand on to Unix and scripting (Unix and SQL) Soft Skills: Good communication, analytical and presentation skills ...

Data Architect

Orlando, FL · On-site

$59.50 - $76.50/hr

Data Modeling: Develop and maintain data models that capture the structure, relationships, and definitions of data entities, ensuring data accuracy, consistency, and integrity throughout the data ...

You'll develop reliable ETL pipelines, lead data modeling efforts, and create data stores and marts that power business intelligence. This role requires a strong understanding of organizational data ...

Fulltime- Data Architect

Miami, FL

$61 - $78.50/hr

Lead the data architecture effort for the Business Intelligence Department and maintain modeling standards across all solutions. Client needs an architect who can advise on MSBI to the larger ...

You'll develop reliable ETL pipelines, lead data modeling efforts, and create data stores and marts that power business intelligence. This role requires a strong understanding of organizational data ...

You'll develop reliable ETL pipelines, lead data modeling efforts, and create data stores and marts that power business intelligence. This role requires a strong understanding of organizational data ...

Data Architect

Tampa, FL · Remote

$60.25 - $77.50/hr

Supports conceptual, logical, and physical data modeling efforts for strategic initiatives. * Performs other duties as required. Minimum Qualifications * Associate's degree in computer science ...

Data Architect

Tampa, FL · On-site

$60.25 - $77.50/hr

Supports conceptual, logical, and physical data modeling efforts for strategic initiatives. * Performs other duties as required. Minimum Qualifications * Associate's degree in computer science ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Optimize database performance, queries, and data models * Collaborate with data scientists, analysts, and application teams to support data needs * Ensure data quality, reliability, and security ...

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

... data models that serve reporting and analytics use cases. • Design data services and event-driven integration patterns that enable scalable downstream consumption by analytics platforms ...

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Data Modeling information

See Florida salary details

$7

$43

$62

How much do data modeling jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for data modeling in Florida is $43.88, according to ZipRecruiter salary data. Most workers in this role earn between $39.33 and $51.01 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Modeling position, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What is a Data Modeling job?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

Will data modeling be replaced by AI?

Data modeling is a fundamental skill for data modelers, and while AI tools can assist in automating certain tasks like generating schemas or analyzing data patterns, they do not fully replace the need for human expertise in designing, validating, and understanding complex data structures. Data modelers will continue to play a critical role in ensuring data quality and integrity, often working alongside AI technologies. Proficiency in data modeling tools and concepts remains essential for the role.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

What does a typical day look like for someone working in Data Modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures using tools like ER diagrams and modeling languages. It requires strong analytical skills, knowledge of database systems, and often benefits from certifications such as Certified Data Management Professional (CDMP). The role offers opportunities in various industries with a typical work environment focused on data accuracy and efficiency.

What does a data modeler do?

A data modeler designs and creates data models to organize and structure data for databases and information systems. They analyze data requirements, develop schemas, and use tools like ER diagrams to ensure data consistency and efficiency. Strong knowledge of data management, modeling techniques, and database systems is essential for this role.
What are the most commonly searched types of Data Modeling jobs in Florida? The most popular types of Data Modeling jobs in Florida are:
What cities in Florida are hiring for Data Modeling jobs? Cities in Florida with the most Data Modeling job openings:
Infographic showing various Data Modeling job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $91,261 per year, or $43.9 per hour.

SENIOR DATA ANALYST

ONE ALLIANCE INSURANCE MANAGERS INC

Orlando, FL • On-site

$80K - $101K/yr

Full-time

Posted 20 days ago


Job description

General Description:

The Senior Data Analyst is responsible for leading advanced reporting, analytics, and business intelligence initiatives within the Information Technology organization. This role partners closely with executive leadership, business stakeholders, and data engineering teams to deliver high-impact analytical solutions that drive operational performance, strategic decision-making, and enterprise growth.

The Senior Data Analyst designs scalable reporting frameworks, develops enterprise-grade dashboards and paginated reports, and performs advanced data analysis using modern tools and statistical techniques. This position serves as a subject matter expert in SQL Server, Power BI, and data modeling, while mentoring junior analysts and promoting data governance, automation, and analytical best practices.

Essential Duties and Responsibilities:

Enterprise Reporting & Business Intelligence

  • Lead development of executive dashboards and operational reporting solutions using Power BI and Power BI Paginated Reports
  • Design scalable semantic models (star schema, dimensional modeling) aligned with enterprise data standards
  • Deliver daily, weekly, monthly, and ad-hoc reporting with a focus on automation, accuracy, and performance
  • Ensure consistency and reconciliation across financial, underwriting, claims, sales, and operational reports

Advanced Data Analysis

  • Perform complex data analysis using SQL Server, Python (pandas, NumPy), and statistical techniques
  • Identify trends, patterns, anomalies, and business drivers within large datasets
  • Translate business questions into structured analytical approaches and actionable insights
  • Develop data validation and reconciliation processes to improve trust in enterprise reporting

Data Modeling & Query Optimization

  • Write advanced T-SQL queries, views, and stored procedures optimized for performance
  • Collaborate with Data Engineering on data models and data product design
  • Optimize report performance through indexing strategies, query tuning, and model design improvements

Automation & Process Improvement

  • Automate recurring reports and analytical workflows
  • Replace manual Excel-based processes with scalable BI solutions
  • Implement quality checks and monitoring processes to reduce reporting risk

Strategic Partnership

  • Serve as analytical advisor to department leaders and executives
  • Participate in requirements gathering sessions and translate business needs into technical deliverables
  • Present findings clearly to both technical and non-technical audiences
  • Contribute to roadmap discussions for analytics platform modernization

Mentorship & Governance

  • Mentor junior analysts on SQL, data modeling, visualization best practices, and documentation standards
  • Promote consistent definitions, KPIs, and metadata usage across departments
  • Contribute to documentation, wiki content, and data dictionary standards

Additional Responsibilities

  • Contribute to project planning and task tracking
  • Successfully manage multiple initiatives simultaneously
  • Perform other duties as required

Education and/or Experience:

  • Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or related discipline required
  • 6+ years of progressive experience in data analysis, business intelligence, or analytics roles
  • Advanced proficiency in Microsoft SQL Server (T-SQL, stored procedures, query optimization)
  • Strong expertise in Power BI (data modeling, DAX, report design, paginated reports)
  • Experience designing dimensional data models (fact/dimension tables, star schema)
  • Proficiency in Python for data analysis (pandas, NumPy; scikit-learn a plus)
  • Experience with Azure-based data environments and modern data platforms preferred
  • Strong understanding of data quality validation, reconciliation, and governance practices
  • Familiarity with Machine Learning concepts and predictive modeling methodologies preferred
  • Experience working in Property & Casualty Insurance a must
  • Familiarity with ticketing systems used to assign and track work
  • Strong written and oral communication skills