Data Integration Engineer Jobs
Data Integration Engineer jobs are open across healthcare, fintech, retail, and enterprise tech, from junior to staff and principal levels, with specializations in ETL pipeline development, cloud data platforms, and API integration. Find a role that fits from the openings below and apply directly.
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Showing 5 of 137+ Data Integration Engineer jobs
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.
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 Engineer Jobs by Experience Level
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Find JobsData Integration Engineer Job Market
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 engineer jobs.
- Proficiency in SQL and at least one ETL or ELT tool such as Informatica, Talend, or dbt
- Experience designing and maintaining data pipelines on AWS, Azure, or Google Cloud Platform
- Strong programming skills in Python, Java, or Scala for pipeline scripting and automation
- Familiarity with data orchestration tools such as Apache Airflow, Prefect, or Luigi
- Experience integrating REST or SOAP APIs and working with JSON or XML data formats
- Bachelor's degree in computer science, information systems, or a related technical field
Tips for Your Data Integration Engineer Job Search
Tailor your resume for each pipeline tool
Hiring managers scan for specific tools, so list the ones you know, Apache Kafka, dbt, Talend, Informatica, or Fivetran, in a dedicated skills section. Bury them in job descriptions and automated screeners miss them entirely.
Quantify data volume and throughput on your resume
Vague phrases like 'built pipelines' don't tell a hiring manager much. Call out the scale: how many records per hour, the size of the datasets you moved, or the reduction in pipeline failure rates you achieved.
Filter openings by the cloud platform you know
Data integration roles vary sharply by cloud stack. AWS Glue, Azure Data Factory, and Google Cloud Dataflow require different skills. Target listings that match your strongest platform to avoid wasting time on mismatched technical screens.
Apply early to roles that fit
Migrate Mate lists data integration engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a working code sample before interviews
Many technical screens for data integration engineers include a live or take-home pipeline exercise. Have a clean, commented example using a common orchestration tool like Airflow or Prefect ready to walk through before your first interview.
Negotiate by comparing total compensation across offers
Base salary is only part of the picture for data integration roles. Remote flexibility, cloud certification reimbursement, and equity can shift the real value of two otherwise similar offers, so compare the full package before accepting or declining.
Data Integration Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most data integration engineers?
The companies hiring the most data integration engineers 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. Healthcare systems, financial services firms, and enterprise software companies tend to post the highest volume of these roles consistently.
How many data integration engineer jobs are remote?
About 82% of data integration engineer openings are fully remote or hybrid as of September 2026, reflecting strong employer demand for distributed technical talent. Cloud-focused pipeline roles and API integration positions tend to have the highest remote availability, while on-premise data warehouse projects more often require some on-site presence.
How do you become a data integration engineer?
Start by building a foundation in SQL and Python, then learn at least one major ETL tool and a cloud data platform. Work through hands-on projects that involve pulling data from multiple source systems and loading it into a target warehouse or lake. A degree in computer science or information systems helps, but a portfolio of working pipelines and demonstrable tool experience carries significant weight with hiring teams.
Can you get hired as a data integration engineer without experience?
Entry-level data integration roles do exist, particularly at companies that need help modernizing legacy pipelines or handling high-volume batch processing. Build practical skills by completing a personal project that ingests data from a public API, transforms it, and loads it into a cloud database. Certifications from AWS, Google Cloud, or Microsoft Azure also signal readiness to hiring managers when direct work experience is limited.
What does the data integration engineer interview process look like?
The process typically starts with a recruiter screen focused on your tool experience and career background, followed by a technical phone interview covering SQL, data modeling, and pipeline design concepts. A take-home or live coding exercise often involves writing a transformation script or debugging a broken pipeline. Final rounds usually include a system design discussion where you walk through how you would architect an end-to-end data integration solution for a given business scenario.
Where can I find and apply to data integration engineer jobs?
You can find and apply to data integration engineer jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the listings to find roles that match your tool experience and seniority level, then apply directly to each one that fits.
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Find roles that match your experience and apply in just a few clicks.
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