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Data Integration Analyst Jobs in Florida (NOW HIRING)

Gather and analyze business and technical integration requirements * Develop and maintain ... Support data mapping, transformation logic, and reconciliation * Work closely with: * Functional ...

The Analyst, AI Engineering is an offshore technical role that supports WAI's internal AI ... data work, including Infor integration support, catalog vector search, document parsing, RAG ...

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Data Integration Analyst information

See Florida salary details

$15.7K

$65.9K

$124.4K

How much do data integration analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data integration analyst in Florida is $65,949.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $83,300.00 per year, depending on experience, location, and employer.

What Does a Data Integration Analyst Do?

As a data integration analyst, you perform a variety of duties related to improving and normalizing data. Your job duties include scrubbing data, writing testing scripts, performing quality control on data and data storage, and enabling data access. You ensure all computer programs are able to integrate collected data. A career as a data integration analyst requires you have some formal qualifications and education, typically at least a bachelor’s degree in information technology (IT) or a related field. You should have some prior work experience in IT, strong analytical problem-solving skills, and excellent attention to detail.

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

AspectData Integration AnalystData Engineer
Required SkillsData analysis, SQL, ETL tools, data mappingProgramming (Python, Java), database architecture, data pipeline development
CertificationsSQL certifications, data management certificationsCloud certifications (AWS, GCP), programming certifications
Work EnvironmentBusiness intelligence teams, data analysis departmentsData engineering teams, software development environments
Industry UsageFinance, healthcare, retailTechnology, finance, large-scale data platforms

While both roles involve working with data, Data Integration Analysts focus on consolidating and analyzing data from various sources using ETL tools and SQL. Data Engineers build and maintain the infrastructure and pipelines that enable data flow across systems. The roles often collaborate but differ in technical depth and scope.

What is a Data Integration Analyst?

A Data Integration Analyst is a professional who specializes in combining data from different sources to create a unified view for analysis and reporting. They work with various databases, applications, and data formats to ensure information flows seamlessly across systems. Their role often includes designing and maintaining data pipelines, troubleshooting integration issues, and ensuring data quality and consistency. Data Integration Analysts play a key role in helping organizations make informed decisions by providing accurate and comprehensive data.

What are some common challenges faced by Data Integration Analysts when working with disparate data sources?

Data Integration Analysts often encounter challenges such as inconsistent data formats, varying data quality, and incomplete documentation across different systems. Collaborating with IT, business stakeholders, and external vendors to understand source data and resolve discrepancies is a frequent part of the job. Managing these complexities requires strong problem-solving skills, attention to detail, and effective communication to ensure accurate and efficient data integration.

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

To thrive as a Data Integration Analyst, you need strong analytical skills, proficiency in data modeling, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with ETL tools (such as Informatica or Talend), SQL, and data integration platforms is typically required, as well as knowledge of APIs and data warehousing solutions. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills that help in collaborating with diverse teams and stakeholders. These competencies are crucial for ensuring seamless data flow, accurate reporting, and strategic decision-making within organizations.
What are the most commonly searched types of Data Integration Analyst jobs in Florida? The most popular types of Data Integration Analyst jobs in Florida are:
What are popular job titles related to Data Integration Analyst jobs in Florida? For Data Integration Analyst jobs in Florida, the most frequently searched job titles are:
Infographic showing various Data Integration Analyst job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $65,949 per year, or $31.7 per hour.
Data Integration Specialist with Security Clearance

Data Integration Specialist with Security Clearance

SOSi

Miami, FL • On-site

Other

Re-posted 2 days ago


Job description

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. Job Description **This position is contingent upon award of contract** SOSi is seeking a Data Integration Specialist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities. Essential Job Duties: * Develop and maintain scalable data pipelines that enable real-time and batch processing of structured and unstructured data.
* Implement Extract, Transform, Load (ETL) workflows that facilitate data interoperability across cloud and on-premises environments.
* Manage schema alignment, metadata tagging, and data governance to ensure data quality and traceability.
* Coordinate with the AI/ML Engineer to ensure data transformations meet model training and analytical requirements.
* Submit the Data Ingestion & Transformation Report, documenting data sources, pipeline optimizations, and integration updates Qualifications * Active TS/SCI clearance. * Bachelor's degree in Data Science, Information Management, or a related field, OR five (5) years of equivalent experience in data integration.
* Demonstrated experience in developing and managing ETL workflows, integrating data from multiple sources, and ensuring data quality and consistency.
* Experience with tools such as Apache NiFi, Databricks, and SQL-based data warehouses is required.
* Possess the knowledge and capability to manage data ingestion, transformation, and interoperability across cloud-based and on-premises environments.
* Personnel must be proficient in data integration tools, API development, ETL pipelines, and schema management.
Preferred Qualifications: * Certifications include Certified Data Management Professional (CDMP) or Microsoft Certified: Azure Data Engineer Associate. Additional Information Working Conditions * Normal office conditions.
Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.