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Data Integration Developer Jobs in Florida (NOW HIRING)

Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory ... Familiarity with programming languages such as Python, Java, or .NET * Experience with cloud data ...

Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory ... Familiarity with programming languages such as Python, Java, or .NET * Experience with cloud data ...

Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory ... Familiarity with programming languages such as Python, Java, or .NET * Experience with cloud data ...

Lead Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Lead Data Engineer Apply now Job no: 662069 Work type: Regular (Full-Time) Location: Orlando ... Implement critical and non-critical system data integration and ingestion fixes for the data ...

Data Architect

Tallahassee, FL · On-site

$61.75 - $79.25/hr

The integration framework is anchored on three complementary components. • Join location data with engineering datasets • Integration backbone-orchestrate extract transform and load (ETL) ...

Responsible for assuring that data integration and cleansing tool suites are effectively deployed ... advising ETL developers, and designing logical and physical analytic data structures.

Responsible for assuring that data integration and cleansing tool suites are effectively deployed ... advising ETL developers, and designing logical and physical analytic data structures.

Data Engineer

Miami, FL

$104K - $125K/yr

Description Job Summary Integrates, builds, and maintains data pipelines and data transformation ... Bachelor's Degree in IT, Biomedical Informatics, Computer Science, Engineering or related field ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Description Job Summary Integrates, builds, and maintains data pipelines and data transformation ... Bachelor's Degree in IT, Biomedical Informatics, Computer Science, Engineering or related field ...

HubSpot Integration Lead

Fort Myers, FL · On-site

$47 - $62.25/hr

Current developer is good technically but is passive about taking on new work. * We expect ... seamless data flow. * Workflow Automation: Build and refine automation workflows leveraging ...

Data Architect

Orlando, FL · On-site

$59.50 - $76.50/hr

... data engineers, and database administrators, to understand business requirements and design data architectures that support data integration, transformation, and storage within the Informatica ...

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Data Integration Developer information

See Florida salary details

$7

$38

$62

How much do data integration developer jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for data integration developer in Florida is $38.62, according to ZipRecruiter salary data. Most workers in this role earn between $32.50 and $43.46 per hour, depending on experience, location, and employer.

What is the difference between Data Integration Developer vs Data Engineer?

AspectData Integration DeveloperData Engineer
Required CredentialsBachelor's in CS, IT, or related field; certifications like Talend or InformaticaBachelor's or higher in CS, Software Engineering; certifications in cloud platforms or big data tools
Work EnvironmentCollaborates with data analysts, ETL teams, and business units; often in IT or data teamsWorks on data pipelines, architecture, and infrastructure; in data engineering or data platform teams
Employer & Industry UsageUsed across industries for data migration, integration, and ETL processesUsed in data-heavy industries for building scalable data systems and pipelines

While both roles focus on data handling, Data Integration Developers primarily design and implement data pipelines for integration and ETL tasks, whereas Data Engineers build and maintain the infrastructure and architecture for large-scale data processing. The roles often overlap but differ in scope and technical focus.

What does a Data Integration Developer do?

A Data Integration Developer is responsible for designing, building, and maintaining systems that combine data from different sources into a unified view for analysis and reporting. They work with various data formats and platforms, develop ETL (Extract, Transform, Load) processes, and ensure the accuracy and efficiency of data flow across an organization. Their role often involves collaborating with data architects, analysts, and other IT professionals to support business intelligence and data warehousing initiatives.

What are some common challenges Data Integration Developers face when working with diverse data sources, and how can they be addressed?

Data Integration Developers often encounter challenges when connecting and consolidating data from a variety of sources with different formats, structures, and protocols. Issues like inconsistent data quality, incompatible data schemas, and real-time synchronization can arise. Addressing these challenges typically involves robust data mapping, implementing data validation rules, and using middleware or ETL (Extract, Transform, Load) tools that support multiple data formats. Effective communication with stakeholders and thorough documentation also help ensure smooth integration processes.

What Is a Data Integration Developer?

A data integration developer uses a wide set of skills to support the performance of a data warehouse, from analyzing and managing information to supporting team members and thinking creatively to solve problems. Duties include studying data sources and data models, planning data solutions, delivering data integrations, setting mediated schemas through databases, and mentoring coworkers to follow procedures and answer technical questions. Job qualifications typically include a bachelor’s degree in computer science or software engineering and experience in computer programming and mathematics. Consulting and communication skills are helpful in this career.

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

To thrive as a Data Integration Developer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and database management, typically backed by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as proficiency in SQL and relevant certifications, is often required. Analytical thinking, attention to detail, and effective communication are vital soft skills for identifying integration needs and collaborating with cross-functional teams. These skills ensure seamless data flow, accurate reporting, and efficient support of business intelligence initiatives.
What are the most commonly searched types of Data Integration Developer jobs in Florida? The most popular types of Data Integration Developer jobs in Florida are:
What job categories do people searching Data Integration Developer jobs in Florida look for? The top searched job categories for Data Integration Developer jobs in Florida are:
What are popular job titles related to Data Integration Developer jobs in FL? For Data Integration Developer jobs in FL, the most frequently searched job titles are:
Infographic showing various Data Integration Developer 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 $80,335 per year, or $38.6 per hour.
Data & AI Integration Engineer - Mid-Level

Data & AI Integration Engineer - Mid-Level

Peraton

Melbourne, FL

$86K - $138K/yr

Full-time

Re-posted 3 days ago


Job description

Responsibilities

Peraton is seeking a skilled and motivated Lead Data & AI Analyst / Engineer to join our organization to support Peraton corporate data and AI knowledge strategy. You will serve as a technical lead and subject matter expert, collaborating closely with corporate stakeholders, data architects, and cross-functional teams to deliver high-quality, secure, and data and knowledge products that further Peraton corporate growth and business acquisition processes.  This mid-level role is responsible for planning, coordinating, and managing the AI data foundation that powers Peraton's AI adoption initiatives - ensuring that the right data is available, governed, trusted, and accessible for the right analytical and AI-driven purposes.

Key Responsibilities:

Data Planning & Architecture

  • Define, document and maintain the AI and data requirements and quality standards for Corporate Growth & Business Operations - both structured and unstructured data
  • Define and document data domain models, entity relationships, and data flow diagrams across source systems (CRM, ERP, HRIS, proposal repositories, contract vehicles)
  • Work within the CIO-managed data catalog to ensure Growth & Business Operations data assets are properly inventoried, normalized, classified, tagged by domain and sensitivity, and discoverable by authorized AI consumers
  • Participate in enterprise data governance forums and represent the AI and data requirements, priorities on CIO managed data assets.
  • Partner with the CIO office to define and enforce data quality standards - including completeness, accuracy, timeliness, and consistency scoring - for data assets feeding AI workflows

Data Integration, Engineering & Pipeline Development

  • Develop and manage AI-specific data pipelines to CIO managed lakehouse/warehouse environments
  • Collaborate with IRAD engineers to integrate data pipelines into the broader AI platform infrastructure
  • Coordinate with the CIO office to define data access patterns, API contracts, and export/query interfaces that allow AI workloads to consume enterprise data efficiently and securely
  • Implement data versioning and lineage tracking at the AI consumption layer to ensure full traceability from CIO-managed source to AI-generated output
Qualifications

Required Qualifications:

  • Bachelor's degree in computer science, Data Science, Information Systems, Mathematics, Statistics, Engineering, or a closely related field
  • 5-7 years of progressive, hands-on experience in data analytics, data engineering, or a closely related discipline
  • Demonstrated experience delivering data solutions in support of government, defense, or large-scale enterprise programs
  • SQL & Databases: Strong command of SQL and experience with relational databases (e.g., PostgreSQL, Microsoft SQL Server)
  • ETL / ELT Pipelines: Hands-on experience designing and implementing data pipelines using tools such as Apache Airflow, Informatica, Talend, dbt, or equivalent
  • Cloud Platforms: Experience with AWS, Microsoft Azure, including managed data services (Azure Synapse, BigQuery)
  • BI & Visualization: Proficiency with Power BI, Alteryx, or equivalent business intelligence tools
  • Data Warehousing: Familiarity with data warehousing concepts, dimensional modeling, and data lake architecture (ADLS, ADF)
  • Must be a US citizen willing to obtain and maintain a TS/SCI security clearance

Desired Qualifications:

  • Experience navigating shared infrastructure models - consuming centrally managed data platforms without owning the underlying infrastructure
  • Prior experience working with or alongside a CIO office or enterprise IT governance function in a consumer/integrator capacity
  • Knowledge of NIST AI Risk Management Framework (AI RMF) and its data-related implications
  • Relevant certifications: Microsoft Certified: Azure Data Engineer Associate, dbt Certified Developer, CDMP (Certified Data Management Professional), or equivalent
  • Active TS/SCI security clearance
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017