Data Integration Engineer Jobs for OPT Students
Data Integration Engineer jobs on OPT typically fall under STEM-designated programs in computer science, information systems, or engineering, making them eligible for the 24-month STEM OPT extension. These roles involve building ETL pipelines, managing data warehouses, and connecting disparate systems, skills that align well with the technical degree requirements most employers expect.
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Get Access To All JobsINTRODUCTION
The Data Integrations Engineer II assists in designing, developing, testing, and maintaining application and data integrations across enterprise systems, including SAP ERP, CRM, MDM (Master Data Management), and eCommerce platforms. The role applies integration best practices under mentorship, helping deliver robust solutions across real-time application APIs, near real-time event/message flows, and high-volume batch/micro batch pipelines using modern iPaaS platforms (Azure Integration Services, SAP Integration Suite, or Informatica IDMC). This role will be Hybrid (2-days a week in office) and it is required that you are located within 50 miles of our Corporate Offices in either Mendota Heights, MN or Loveland, CO. In-person attendance is expected to foster collaboration, innovation, and team connection.
ESSENTIAL FUNCTIONS
- Assist in implementing integrations between SAP ERP, CRM, MDM, and eCommerce platforms across real-time, event-driven, and batch patterns.
- Build and support integrations using one or more of: Azure Integration Services (Data Factory, Logic Apps, API Management, Service Bus, Event Grid), SAP Integration Suite (Cloud Integration, Event Mesh), or Informatica IDMC (Application Integration, Cloud Integration Hub, Cloud Data Integration).
- Monitor and troubleshoot integration workflows.
- Document technical specs and test cases aligned to team standards.
- Collaborate with product teams and senior engineers; participate in code reviews and follow source control practices.
- Comply with Company and department policies and standards; performs other duties as assigned.
MINIMUM REQUIREMENTS
- Bachelor's Degree in Computer Science, MIS or related field or equivalent education and/or experience.
- 2 years experience in application and data integration (project, internship, or professional).
PREFERRED REQUIREMENTS
- Experience with CI/CD pipelines, unit/integration testing, and observability (logs, metrics, traces).
SKILLS AND ABILITIES
- Exposure to at least one iPaaS: Azure Integration Services, SAP Integration Suite, or Informatica IDMC.
- Basic understanding of REST/GraphQL APIs, messaging/queues (e.g., Service Bus, Kafka), and ETL/ELT.
- Familiarity with integration patterns (batch, sync/async, pub/sub, EDA) and data transformation techniques.
- Hands-on with API security (OAuth2/OIDC), secrets management, and schema validation.
COMPENSATION
- The compensation range for this role is below: $70,000 - $80,000.
- The potential compensation range for this role is below. The final offer amount would be based on various factors such as candidate location (geographical labor market), experience, and skills: $77,200.00 - $94,500.00.
INTRODUCTION
The Data Integrations Engineer II assists in designing, developing, testing, and maintaining application and data integrations across enterprise systems, including SAP ERP, CRM, MDM (Master Data Management), and eCommerce platforms. The role applies integration best practices under mentorship, helping deliver robust solutions across real-time application APIs, near real-time event/message flows, and high-volume batch/micro batch pipelines using modern iPaaS platforms (Azure Integration Services, SAP Integration Suite, or Informatica IDMC). This role will be Hybrid (2-days a week in office) and it is required that you are located within 50 miles of our Corporate Offices in either Mendota Heights, MN or Loveland, CO. In-person attendance is expected to foster collaboration, innovation, and team connection.
ESSENTIAL FUNCTIONS
- Assist in implementing integrations between SAP ERP, CRM, MDM, and eCommerce platforms across real-time, event-driven, and batch patterns.
- Build and support integrations using one or more of: Azure Integration Services (Data Factory, Logic Apps, API Management, Service Bus, Event Grid), SAP Integration Suite (Cloud Integration, Event Mesh), or Informatica IDMC (Application Integration, Cloud Integration Hub, Cloud Data Integration).
- Monitor and troubleshoot integration workflows.
- Document technical specs and test cases aligned to team standards.
- Collaborate with product teams and senior engineers; participate in code reviews and follow source control practices.
- Comply with Company and department policies and standards; performs other duties as assigned.
MINIMUM REQUIREMENTS
- Bachelor's Degree in Computer Science, MIS or related field or equivalent education and/or experience.
- 2 years experience in application and data integration (project, internship, or professional).
PREFERRED REQUIREMENTS
- Experience with CI/CD pipelines, unit/integration testing, and observability (logs, metrics, traces).
SKILLS AND ABILITIES
- Exposure to at least one iPaaS: Azure Integration Services, SAP Integration Suite, or Informatica IDMC.
- Basic understanding of REST/GraphQL APIs, messaging/queues (e.g., Service Bus, Kafka), and ETL/ELT.
- Familiarity with integration patterns (batch, sync/async, pub/sub, EDA) and data transformation techniques.
- Hands-on with API security (OAuth2/OIDC), secrets management, and schema validation.
COMPENSATION
- The compensation range for this role is below: $70,000 - $80,000.
- The potential compensation range for this role is below. The final offer amount would be based on various factors such as candidate location (geographical labor market), experience, and skills: $77,200.00 - $94,500.00.
How to Get Visa Sponsorship as a Data Integration Engineer
Highlight ETL and pipeline experience upfront
Employers screening OPT candidates for data integration roles move fast. Lead your resume with specific tools like Apache Kafka, Talend, or dbt. Concrete pipeline experience signals you can contribute immediately without a long ramp-up period.
Target employers with active H-1B sponsorship history
Companies that have sponsored data engineers before are far more likely to sponsor again. Focus your search on mid-size tech firms and financial services companies with consistent engineering hiring, not just large enterprises or early-stage startups.
Confirm your degree qualifies for STEM OPT extension
Data Integration Engineer roles almost always qualify for the 24-month STEM extension, but your degree field must appear on the official STEM designated degree program list. Computer science, information systems, and engineering degrees typically qualify without issue.
Address OPT timeline proactively in interviews
Bring up your OPT status before the offer stage. Explaining that you have three years of authorized work time, including the STEM extension, removes uncertainty and shows you understand your own timeline, which reassures hiring managers unfamiliar with OPT.
Specialize in a high-demand integration stack
Generalist data skills are competitive. Employers prioritize candidates with depth in a specific stack, such as Azure Data Factory, AWS Glue, or Informatica. Specialization reduces the perceived risk of sponsoring someone on a work authorization deadline.
Build a portfolio of documented integration projects
OPT students without full-time U.S. experience benefit enormously from showing real work. Document a data integration project end-to-end, including source systems, transformation logic, and output schema. GitHub repositories with clear README files work well for this.
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Get Access To All JobsFrequently Asked Questions
Do Data Integration Engineer jobs qualify for the STEM OPT extension?
Yes, in most cases. Data Integration Engineer roles typically require a degree in computer science, information systems, electrical engineering, or a related STEM field, all of which appear on the STEM designated degree program list. If your degree qualifies and your employer is enrolled in E-Verify, you can apply for the 24-month STEM extension before your initial 12-month OPT expires.
How far in advance should I start applying for Data Integration Engineer jobs on OPT?
Start at least four to six months before your OPT start date. Many engineering teams have multi-round interview processes that take four to eight weeks, and onboarding paperwork adds more time. Applying early also gives you room to negotiate a start date that aligns with your EAD card arrival, since you cannot legally begin work before the date printed on your EAD.
Where can I find Data Integration Engineer jobs that sponsor OPT students?
Migrate Mate filters job listings specifically for roles open to F-1 OPT candidates, so you are not wasting applications on employers who will not consider work authorization. Browsing by role type on Migrate Mate shows which companies have a track record of hiring international students for technical engineering positions, saving significant research time.
Can I work as a Data Integration Engineer contractor or consultant on OPT?
OPT requires that your work be directly related to your degree field, but it does not require a traditional full-time employment arrangement. Contract and consulting roles are permissible as long as the work is substantive and degree-related. However, self-employment through your own entity is restricted, and third-party staffing arrangements can create compliance complications, so reviewing your situation with your DSO before accepting contract work is advisable.
What happens to my OPT status if my employer lays me off?
You have a 90-day aggregate unemployment buffer during your OPT period. If you are laid off, that clock starts immediately, so begin your job search right away. During this window, you can continue applying and interviewing. If your STEM OPT extension is already approved, the same 90-day rule applies, with an additional 60-day buffer available specifically during the extension period.
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