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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At Apple, we push the boundaries of what's possible - and nowhere is that more evident than in the infrastructure that powers our most ambitious technologies. The Data Center Hardware Engineering Team designs and delivers the high-performance compute solutions that underpin Apple's services and products at scale. From custom silicon to full-system integration, our work ensures that Apple's global infrastructure is fast, efficient, and built to last. Every system we ship reflects our relentless commitment to engineering excellence and our belief that great hardware is the foundation of great experiences.
The Hardware System Integration team sits at the heart of this mission, owning the design and realization of customized compute platforms from concept to mass production. We're looking for a Hardware System Integration Engineer who thrives in a highly collaborative environment, enjoys working across disciplines, and is energized by the challenge of bringing cutting-edge hardware to life.
Description
As a Hardware System Integration Engineer, you will own the end-to-end hardware engineering lifecycle for high-performance compute designs - from initial specification and schematic capture through board bring-up, validation, and factory build support. You will serve as a cross-functional partner to mechanical, power, software, firmware, silicon, and reliability teams, ensuring design requirements are met with precision and at scale. This role demands both technical expertise and strong communication skills to drive alignment across a broad set of stakeholders.","responsibilities":"Hardware system design and schematic capture for high-performance compute platforms, including board layout guidance and design constraint management
Perform signal integrity simulation, board bring-up, and hands-on debug from system-level down to the transistor level
Develop and maintain functional specifications, validation procedures, and integration documentation for complex system designs
Execute validation of high-speed digital interfaces (PCIe, Ethernet, USB, DDR, and others) including compliance testing and protocol analysis
Partner cross-functionally with mechanical, firmware, software, silicon, and reliability teams to balance design tradeoffs and meet program requirements
Support factory builds and sustaining engineering activities through mass production
Drive issues to root cause through systematic debugging using EE lab equipment (oscilloscope, logic analyzer, spectrum analyzer, DMM)
Preferred Qualifications
High-speed PCB design experience with 10+ layer boards, including PCB material selection and stackup definition
Proficiency with schematic entry and high-speed PCB layout constraint management using Cadence tools or equivalent
Hands-on PCIe, 100-GbE, USB3/USB4, or similar high-speed serial protocol experience, including compliance testing and protocol analyzer debug
Familiarity with computer architecture concepts and hardware design tradeoffs
Experience developing automation or data manipulation scripts
Master's degree in Electrical Engineering or Computer Engineering
7+ years of relevant industry work experience in hardware or systems engineering
Minimum Qualifications
Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent work experience
3+ years of relevant industry work experience in hardware or systems engineering
Working knowledge of common low-speed and high-speed digital interfaces: I2C/SMBus, SPI, JTAG, USB, PCIe, Ethernet (SGMII, RMII, QSFP), and DDR memory
Broad circuit design experience across multiple domains: power, digital, analog, high-speed communications, and/or programmable logic
Experience with PCB bring-up and characterization using standard EE lab equipment (soldering, DMM, oscilloscope, logic analyzer, spectrum analyzer)
Demonstrated ability to debug complex hardware issues from the system level down to the circuit/transistor level
Outstanding written, verbal, and visual communication skills, with experience producing functional specs, integration procedures, and technical documentation
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Retail
- Insurance
- Government & Public Sector
- Education
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 AHOLD Delhaize, KBR, and Apple, with the largest share of openings in Virginia, Texas, and California, based on current listings on Migrate Mate as of August 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 66% of data integration engineer openings are fully remote or hybrid as of August 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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