Data Integration Developer Jobs
Data Integration Developer jobs are open across healthcare, financial services, retail, and technology, from entry-level to senior and lead, with specializations in ETL pipeline development, API integration, and data warehouse engineering. 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 Developer Jobs by Experience Level
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Find JobsData Integration Developer Job Market
Who's Hiring



Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in data integration developer jobs.
- Proficiency in ETL tools such as Informatica, Talend, SSIS, or Apache NiFi
- Experience with SQL and relational databases including SQL Server, Oracle, or PostgreSQL
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud
- Understanding of data warehousing concepts including star schema and dimensional modeling
- Experience with scripting languages such as Python or Shell for pipeline automation
- Bachelor's degree in computer science, information systems, or a related technical field
Tips for Your Data Integration Developer Job Search
Tailor your resume to each stack
Employers scan for the specific tools they use, so mirror the exact names from each job posting on your resume. If the listing says Informatica, don't substitute Talend, even if your experience overlaps. Keyword mismatches eliminate you before a human reads your application.
Showcase pipeline complexity, not just tools
Hiring managers want to see what you moved, transformed, and connected, not just which platforms you touched. Describe the volume, frequency, and business impact of the pipelines you built. Generic tool lists without context rarely advance past the first screening.
Apply early to roles that fit
Migrate Mate lists data integration developer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that name your certifications
Listings that name a certification, such as AWS Certified Data Analytics or Microsoft Azure Data Engineer, rank applicants who hold it above those who don't. Filter your search for those roles when you have the credential so your application lands in the prioritized pool.
Prepare a live walkthrough for technical screens
Many data integration interviews include a screen share where you write or debug a transformation query or mapping in real time. Practice explaining your logic aloud as you work through a sample integration problem so the interviewer can follow your reasoning.
Negotiate scope before accepting an offer
Ask whether the role owns the full pipeline from source to consumption or only one segment, since that determines your growth path and workload. Clarifying scope before you sign prevents misaligned expectations in the first ninety days.
Data Integration Developer Jobs: Frequently Asked Questions
Which companies are hiring the most data integration developers?
The companies hiring the most data integration developers right now include BLN24, Talan, and Mastercard, with the largest share of openings in Virginia, Texas, and Missouri, based on current listings on Migrate Mate as of September 2026. Demand is particularly concentrated in organizations undergoing cloud migration or consolidating legacy data systems.
How do you become a data integration developer?
Start by building a foundation in SQL, then learn at least one ETL platform such as Informatica, Talend, or SSIS through hands-on projects or coursework. Next, gain experience with a cloud data platform by completing a vendor certification or building a personal project that moves data between sources. Contribute to an open-source data project or build a portfolio pipeline that demonstrates end-to-end data flow from ingestion to a usable destination.
Can you get a data integration developer job with little experience?
Yes, entry-level data integration developer roles exist, and employers filling them prioritize demonstrated hands-on ability over years of experience. Build a portfolio project that pulls data from a public API, transforms it with Python or SQL, and loads it into a database you can show during interviews. Certifications from AWS, Microsoft, or Google also signal practical readiness and help your application stand out against candidates with similar backgrounds.
What does the data integration developer interview process look like?
Most processes start with a recruiter call to confirm your background and tool experience, followed by a technical screen that tests SQL queries, data transformation logic, or a take-home mapping exercise. A second technical round often includes a live coding or debugging session where you walk through a sample pipeline problem. Final rounds typically involve a conversation with the data engineering team about architecture decisions and how you've handled data quality or latency issues in past projects.
Where can I find and apply to data integration developer jobs?
You can find and apply to data integration developer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your skills and experience level, then apply directly to each one that fits.
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