STEM OPT Data Platform Engineer Jobs
Data Platform Engineer roles in cloud infrastructure, data pipeline design, and distributed systems fall squarely within STEM OPT eligibility. Your STEM degree qualifies you for the 24-month extension beyond initial OPT, giving you up to 36 months total, provided your employer is enrolled in E-Verify and your role is directly tied to your degree field.
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Get Access To All JobsJOIN TARGET AS A SR ENGINEER – AGENTIC DATA PLATFORMS
About us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
About the Role:
The Agentic Analytics team is building the next generation of AI-enabled analytics and data access at Target. Our work goes beyond traditional Gen AI and natural-language querying. We are building an enterprise agentic analytics layer that connects people and agents to trusted analytical data, governed business metrics, contextual insights and analytical workflows.
As a Sr Engineer on this team, you will help design and build the software and platform capabilities behind Agent Fetch and the broader agentic data platform. You will work across agent orchestration, data and metadata access, semantic models, evaluation, observability, security, and the services that allow both users and other agents to safely interact with enterprise analytical data.
This is a highly collaborative engineering role on a team working in a rapidly evolving technical space. You will be expected to learn unfamiliar domains quickly, work independently when appropriate, pair with others when useful, and iterate as both the technology and our product strategy evolve.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
- 4-year degree in Quantitative disciplines (Science, Tech, Engineering, Mathematics) or equivalent industry experience required; MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred
- 3+ years of experience designing, developing, testing, and supporting software applications or platform services
- Demonstrated proficiency programming in Python or Java with the ability to become productive in additional languages and frameworks
- Demonstrated experience with AI agents, LLM applications, tool use, planning, or multi-step agent workflows
- Experience with agent orchestration frameworks such as LangGraph
- Evaluation and observability for LLM- or agent-based systems
- Knowledge of retrieval, context management, structured tool interfaces, or MCP-based architectures
- Experience with data platforms, analytical data systems, metadata, lineage, or data governance
- Experience with semantic layers, governed metrics, LookML, Power BI semantic models, dbt or similar technologies
- Demonstrated experience with distributed systems, event-driven architectures, APIs, or platform engineering
- Experience with security and authorization patterns for data- or AI-enabled applications
- Strong problem-solving skills, including the ability to diagnose complex behavior, identify root causes, test hypotheses, and iteratively improve a solution
- Experience breaking a technical problem into components and independently delivering meaningful portions of a larger solution
- An understanding of software design fundamentals and the ability to document a technical approach and explain the tradeoffs behind your decisions
- Experience with automated testing and an understanding of production observability, debugging, and operational reliability
- The ability to quickly learn unfamiliar business and technical domains through research, experimentation, and collaboration
- Strong collaboration and communication skills, including comfort pairing with other engineers and working across teams.
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Compensation
- The pay range is $98,000.00 - $176,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 10/22/2026
JOIN TARGET AS A SR ENGINEER – AGENTIC DATA PLATFORMS
About us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
About the Role:
The Agentic Analytics team is building the next generation of AI-enabled analytics and data access at Target. Our work goes beyond traditional Gen AI and natural-language querying. We are building an enterprise agentic analytics layer that connects people and agents to trusted analytical data, governed business metrics, contextual insights and analytical workflows.
As a Sr Engineer on this team, you will help design and build the software and platform capabilities behind Agent Fetch and the broader agentic data platform. You will work across agent orchestration, data and metadata access, semantic models, evaluation, observability, security, and the services that allow both users and other agents to safely interact with enterprise analytical data.
This is a highly collaborative engineering role on a team working in a rapidly evolving technical space. You will be expected to learn unfamiliar domains quickly, work independently when appropriate, pair with others when useful, and iterate as both the technology and our product strategy evolve.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
- 4-year degree in Quantitative disciplines (Science, Tech, Engineering, Mathematics) or equivalent industry experience required; MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred
- 3+ years of experience designing, developing, testing, and supporting software applications or platform services
- Demonstrated proficiency programming in Python or Java with the ability to become productive in additional languages and frameworks
- Demonstrated experience with AI agents, LLM applications, tool use, planning, or multi-step agent workflows
- Experience with agent orchestration frameworks such as LangGraph
- Evaluation and observability for LLM- or agent-based systems
- Knowledge of retrieval, context management, structured tool interfaces, or MCP-based architectures
- Experience with data platforms, analytical data systems, metadata, lineage, or data governance
- Experience with semantic layers, governed metrics, LookML, Power BI semantic models, dbt or similar technologies
- Demonstrated experience with distributed systems, event-driven architectures, APIs, or platform engineering
- Experience with security and authorization patterns for data- or AI-enabled applications
- Strong problem-solving skills, including the ability to diagnose complex behavior, identify root causes, test hypotheses, and iteratively improve a solution
- Experience breaking a technical problem into components and independently delivering meaningful portions of a larger solution
- An understanding of software design fundamentals and the ability to document a technical approach and explain the tradeoffs behind your decisions
- Experience with automated testing and an understanding of production observability, debugging, and operational reliability
- The ability to quickly learn unfamiliar business and technical domains through research, experimentation, and collaboration
- Strong collaboration and communication skills, including comfort pairing with other engineers and working across teams.
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Compensation
- The pay range is $98,000.00 - $176,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 10/22/2026
See all 219+ STEM OPT Data Platform Engineer Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Platform Engineer
Verify your CIP code maps correctly
Your STEM OPT eligibility depends on your degree's Classification of Instructional Programs code matching a DHS-approved STEM field. Computer science, electrical engineering, and information systems codes all support Data Platform Engineer roles, but applied mathematics or statistics degrees require your DSO to confirm the mapping before you file.
Check E-Verify enrollment before applying
Any employer who hires you on STEM OPT must be enrolled in E-Verify, not just willing to enroll. Search the E-Verify employer search tool by company name before your first interview so you're not discovering the gap after an offer is on the table.
Target companies with active LCA filings for data roles
Employers who have filed Labor Condition Applications through DOL for data engineering or cloud infrastructure positions already understand prevailing wage obligations and STEM work authorization logistics. Filtering by recent LCA activity for relevant SOC codes narrows your list to employers who've done this before.
Use Migrate Mate to find verified STEM OPT employers
Search Migrate Mate to find Data Platform Engineer roles at employers already screened for E-Verify enrollment. This saves you from applying to companies that can't legally hire you on OPT and focuses your effort on employers set up to support your training plan and extension filing.
Draft your I-983 training plan before the offer stage
USCIS requires a completed Form I-983 training plan signed by both you and your employer before your STEM OPT extension begins. Have a draft ready that maps your data platform responsibilities to your specific degree competencies so your employer can review and sign without delays holding up your start date.
Align your job title and duties with your degree on the I-983
USCIS scrutinizes whether your day-to-day work directly relates to your STEM field. For data platform roles, document specific technical responsibilities like pipeline architecture, query optimization, or distributed system design rather than generic descriptions. Vague job duties on the I-983 are a common reason extensions get flagged.
Frequently Asked Questions
Does a Data Platform Engineer role qualify for STEM OPT?
Yes, Data Platform Engineer positions typically qualify because they require applied knowledge in computer science, information systems, or electrical engineering, all of which are DHS-approved STEM fields. Your degree's CIP code must appear on the DHS STEM Designated Degree Program List, and your actual job duties must directly relate to that field. Your DSO confirms eligibility when recommending the extension on your I-20.
What E-Verify requirement applies to my STEM OPT employer?
Your employer must be actively enrolled in E-Verify at the time you begin working on the STEM OPT extension. Enrollment alone is not enough if the specific site or hiring entity within a larger company isn't covered. Confirm enrollment status directly with HR before accepting an offer, and verify that the entity listed on your I-983 matches the enrolled E-Verify employer.
What goes into the I-983 training plan for a data engineering role?
The I-983 requires a detailed description of how your Data Platform Engineer responsibilities connect to your STEM degree. You'll document specific learning objectives, mentorship arrangements, and performance evaluation criteria. For this role, that typically includes skills in distributed data systems, ETL pipeline design, or cloud infrastructure. Both you and your supervisor must sign, and USCIS can audit the plan at any time during your extension.
How does cap-gap affect my STEM OPT timeline if I get H-1B selected?
If you file an H-1B visa petition before your OPT EAD expires and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30 of that year. Your STEM OPT extension doesn't restart the cap-gap clock, but if your STEM OPT is still valid when the H-1B petition is filed, your authorized stay extends until the H-1B start date. Keep your EAD expiration date and petition receipt notice organized carefully.
Where can I find Data Platform Engineer jobs at E-Verify employers?
Migrate Mate lists Data Platform Engineer roles filtered for employers enrolled in E-Verify, which removes the guesswork of checking enrollment separately for each company. You can search by role type and see which employers have existing LCA filing history for data engineering positions, giving you a clearer picture of which companies already have infrastructure in place to support STEM OPT hires.