Data Integration Specialist Jobs
Data Integration Specialist jobs are open across healthcare, finance, retail, and technology, from junior analyst to senior architect and principal engineer, with specializations in ETL pipeline development, API integration, and data warehouse management. Find a role that fits from the openings below and apply directly.
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Summary of Position:
The Data Integration Analyst is responsible for gathering and documenting business and technical requirements, performing data analysis, and mapping client data into InfoIMAGE products. You will ensure accuracy, consistency, and alignment of client data integrations while supporting seamless onboarding and solution delivery.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Requirements Gathering & Analysis
- Elicit, analyze, and document business and functional requirements from internal and external stakeholders. – Gather job specifications, business rules, and technical deliverables through direct client interfacing to support integration activities.
- Ensure clear, consistent, and comprehensive requirements and documentation that supports development and QA efforts.
Manage overall technical analysis for client application setups and customizations.
- Perform data analysis, review files, and map fields between client data sources, document templates, and Statements of Work.
- Translate client data requirements into integration specifications, including field mappings, preliminary mock-ups, transformation rules, and validation criteria.
- Other duties as assigned.
Cross-Functional Collaboration
- Work with Sales and Account Management during pre-sales or early contract phases to define project scope and assess feasibility for preliminary analysis
- Initiate and facilitate feasibility meetings; review and document assessments with internal departments for prospective and/or existing clients.
Collaborate with Implementation Specialists to support and deliver new client projects, configurations and applications.
Coordinate closely with Product, Development, QA, and Operations teams to ensure accurate data ingestion and integration that aligns with client specifications.
- Assist in user acceptance testing (UAT) and validation of features and solutions.
- Other duties as assigned
Documentation
- Document and maintain resources related to data integration, including client system listings, data formats, mapping specifications, and templates.
- Contribute to continuous improvement of integration and documentation standards.
- Identify and document edge cases, risks, and technical dependencies.
- Other duties as assigned.
QUALIFICATION REQUIREMENTS:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Knowledge, Experience and Skill Requirements:
Education:
✓Bachelor’s Degree required (Information Systems or computer science related fields)
Experience and Skills:
✓ 3+ years of experience in an implementation, technical analyst, or similar role in SaaS, enterprise software, or technology services.
✓ 3+ years of experience in a regulated industry such as financial services or healthcare (strongly preferred).
✓ Basic understanding of consumer banking products and services (preferred).
✓ Strong knowledge of Unix/Linux, RDBMS, and SFTP.
✓ Strong analytical skills for data inspection, cleansing, transformation, and modeling.
✓ Experience gathering requirements and translating into technical specifications.
✓ Experience with web-based application implementations (B2B and B2C).
✓ Ability to work cross-functionally with: Implementation, QA, Sales, Operations, Development, and Product.
✓ Understanding of implementation processes and Software Development Life Cycle (SDLC).
✓ Proficiency with documentation and tracking tools such as Confluence, Jira, and Microsoft Office Suite.
✓ Experience working within Agile or Scrum teams.
Physical Requirements:
✓ Multi-limb and eye-hand coordination
✓ Able to stand, bend, reach, stoop and lift boxes up to 10 lbs.
✓ Fast pace / multi-tasking with organization and efficiency
✓ Able to sit at a desk, working on a computer for extended periods.
✓ Able to communicate effectively in a collaborative, cross-functional environment.
✓ Able to manage multiple tasks and shifting priorities in a fast-paced setting.
Data Integration Specialist Jobs by Experience Level
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
- Education
- Insurance
- Electronics & Hardware
What Employers Look For
The qualifications that appear most often in data integration specialist jobs.
- Hands-on experience with ETL tools such as Informatica, Talend, SSIS, or Apache NiFi
- Proficiency in SQL and ability to write complex queries for data transformation and validation
- Experience integrating data across cloud platforms including AWS, Azure, or Google Cloud
- Familiarity with API-based integrations using REST or SOAP protocols
- Bachelor's degree in computer science, information systems, or a related technical field
- Knowledge of data warehousing concepts and platforms such as Snowflake, Redshift, or BigQuery
Tips for Your Data Integration Specialist Job Search
Tailor your resume to pipeline tools
List the specific ETL and data pipeline tools you have used, such as Informatica, Talend, or Apache NiFi, and note the data volumes you worked with. Hiring managers scan for tool names before reading anything else on a data integration specialist resume.
Document your data transformation decisions
Employers want to see that you made architectural choices, not just executed them. For each project on your resume, name the source and target systems, the transformation logic you designed, and what problem it solved for the business.
Filter openings by your core stack
Data integration roles split sharply between cloud-native stacks like AWS Glue or Azure Data Factory and on-premise tools like SSIS or MuleSoft. Search by the platform you know best so you spend your time on openings where you are already a strong fit.
Apply early to roles that fit
Migrate Mate lists data integration specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a live data flow walkthrough
Many interviews include a whiteboard or screen-share exercise where you design an integration flow on the spot. Practice narrating a realistic scenario, such as syncing a CRM to a data warehouse, covering error handling, scheduling, and monitoring out loud.
Negotiate using system complexity, not just title
When discussing compensation, anchor your case on the number of source systems you have connected, the latency requirements you have met, and the team size you have supported. Concrete scope gives you more leverage than seniority level alone.
Data Integration Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most data integration specialists?
The companies hiring the most data integration specialists right now include Peraton, Deloitte, and State Street, with the largest share of openings in Texas, Virginia, and California, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in companies undergoing cloud migrations or consolidating data from multiple acquired systems.
How many data integration specialist jobs are remote?
About 82% of data integration specialist openings are fully remote or hybrid as of November 2026, reflecting how much of the work happens in cloud environments that require no physical presence. Roles focused on cloud-based pipeline development and API integration tend to be the most remote-friendly, while positions that require hands-on work with on-premise databases or legacy mainframes are more likely to require on-site availability.
How do you become a data integration specialist?
Start by building a strong foundation in SQL and understanding how relational databases structure and store data. From there, learn at least one ETL platform, practice connecting source systems to target databases through personal or open-source projects, and document what you built. Most employers also expect familiarity with at least one cloud data platform, so hands-on work with AWS, Azure, or Google Cloud strengthens your profile considerably before your first role.
How do you get hired as a data integration specialist with little experience?
Focus on building a portfolio of documented integration projects, even if they use public datasets or free-tier cloud tools. Demonstrating that you can move data between two real systems, handle transformation logic, and troubleshoot failures matters more to hiring teams than a formal job title. Entry-level and associate roles often emphasize SQL skills and a working knowledge of one ETL tool, so targeting those openings and showing concrete project work is more effective than waiting for credentials to accumulate.
What does the data integration specialist interview process look like?
Most processes include an initial recruiter screen, a technical phone or video interview focused on SQL and ETL tool knowledge, and a practical exercise where you design or troubleshoot a data flow. Final rounds typically involve a panel with a data architect or engineering lead and sometimes a business stakeholder who wants to understand how you translate technical decisions into outcomes. Some employers add a take-home challenge asking you to map a sample integration scenario.
Where can I find and apply to data integration specialist jobs?
You can find and apply to data integration specialist jobs on Migrate Mate, which lists current openings from employers across the United States. Search for roles that match your stack and experience level, then apply directly to each listing that fits. Every application goes straight to the employer, so you stay in control of where and when you apply.
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