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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Overview

Open roles156+
Top stateTexas
Top employerPeraton
Top cityAustin, TX
Work type41% Remote
Top industryTechnology

Showing 5 of 156+ Data Integration Engineer jobs

Data Integration Analyst
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Added 2d ago
Data Integration Analyst
INFO IMAGE
Brisbane, California
Business Analysis
Business Analyst
Business Operations
Bachelor's degree

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Data Analyst - Inland Empire Mental Health Training & Integration Center
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Added 2d ago
Data Analyst - Inland Empire Mental Health Training & Integration Center
Presidio Graduate School
Redlands, California
Business Analyst
Data Analytics
IT Support
11-50

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Senior Specialist, Data Transfer Integration & Quality
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Added 2d ago
Senior Specialist, Data Transfer Integration & Quality
BNY
Pittsburgh, Pennsylvania
Data Analytics
Data Engineering
Data Science
Hybrid
Bachelor's degree
10,000+

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Data Analyst - Inland Empire Mental Health Training & Integration Center
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Added 3d ago
Data Analyst - Inland Empire Mental Health Training & Integration Center
University of Redlands
Redlands, California
Healthcare Administration
Mental & Behavioral Health
Social Work & Counseling
1,001-5,000

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Senior Data Integration Developer
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Added 3d ago
Senior Data Integration Developer
COGENT DATA SOLUTIONS LLC
Austin, Texas
Data Science & Analytics
Data Engineering
Quality Assurance & Testing (QA Testing)
Data Science
Hybrid
None

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Data Integration Engineer Job Market

Who's Hiring

Peraton4 open roles
Deloitte4 open roles
State Street3 open roles

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.

See All 156+ Data Integration Engineer Jobs

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