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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integration solutions with a focus on EDI (Electronic Data Interchange) for healthcare
applications. This role involves implementing ETL processes, managing data pipelines, ensuring
data quality, and generating reports to support business intelligence and compliance with
healthcare standards.
- Develops and maintains data integration solutions that provide a seamless flow of data
- Manages the data analysis activities and integrating disparate systems.
- Solves problems with extensive programming skills and abilities in multiple coding
- Understands the lifecycle of entire applications, web services and related databases.
- Configures and manages EDI systems for processing healthcare transactions, including
- Monitors data quality and performs data validation to ensure accuracy and consistency in
- Implements data cleansing and transformation processes to maintain data integrity across
- Experiences troubleshooting and solving problems with custom developed applications and
- Responsible for ensuring code (peer) reviews are conducted for all code changes.
- Tests EDI transactions with trading partners and other certification authorities as needed for
- Creates and maintains documentation for all projects and participate in team meetings,
- Works closely with business analysts, healthcare providers, and IT teams to understand data
Secondary Duties and Responsibilities
- Recommends improvements to existing data integration and EDI processes to enhance
- Implements data security measures to protect sensitive healthcare information during
- Documents application configurations, procedures, and troubleshooting steps for reference and training purposes.
Bachelor’s degree in Information Technology, Computer Science, or
related field with a minimum of 3-5 years of experience in data
integration, including hands-on experience with ETL processes and data
pipelines. Experience in data warehousing, data modeling, and SQLbased querying. Demonstrated experience in report development and
data analysis.
Proficiency in SQL, and experience with programming languages such
as Python, Java, or C# for data manipulation and integration tasks.
Experience with Electronic Data Interchange (EDI) systems and
standards, particularly in a healthcare context, is beneficial. Ability to
develop and generate reports with knowledge of reporting tools such as
SSRS (SQL Server Reporting Services), Power BI, and Tableau.
Experience with version control systems such as Git or TFS. Relevant
certifications in programming languages or development tools are a
plus.
Performance Based Competencies
Demonstrates flexibility and resilience in response to changing
priorities and challenges. Works collaboratively with others to achieve
shared goals and resolve issues. Anticipates and meets the needs of
internal and external customers. Identifies issues, gathers relevant
information, and develops practical solutions. Applies specialized
knowledge effectively to enhance application performance and
reliability.
Work Environment And Physical Demands
More than 80% of work time is spent in front of a computer monitor.
May be required to lift, carry, or move equipment of varying size,
weighing up to 50 lbs. May be required to bend, stoop, kneel, crawl, or
work in other non-standing and non-sitting positions to install
cabling, systems hardware, and other related equipment.
All HealthPlan employees are expected to:
- Provide the highest possible level of service to clients;
- Promote teamwork and cooperative effort among employees;
- Maintain safe practices; and abide by the HealthPlan’s policies and procedures, as they may
HIRING RANGE:
$106,667.05 - $138,667.16
IMPORTANT DISCLAIMER NOTICE
The job duties, elements, responsibilities, skills, functions, experience, educational factors and
the requirements and conditions listed in this job description are representative only and not
exhaustive or definitive of the tasks that an employee may be required to perform. The employer
reserves the right to revise this job description at any time and to require employees to perform
other tasks as circumstances or conditions of its business, competitive considerations, or work
environment change.
Data Integration Specialist Jobs by Experience Level
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Education
- Science & Research
- Staffing & Recruiting
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, Wittij Consulting, and KBR, with the largest share of openings in Texas, California, and Virginia, based on current listings on Migrate Mate as of September 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 September 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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