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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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 Engineer Jobs by Experience Level
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Find JobsData Integration Engineer Job Market
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 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, 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. 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 November 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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