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 JobsThe J.R. Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture.
Summary
The Datasphere Engineer role is responsible for the design, initialization, implementation, maintenance, and support of the enterprise Datasphere platform. This role partners closely with business stakeholders, the data engineering team, the SAP team, and security teams to establish the core architectural patterns, security schema, and operational standards that will enable a stable, scalable, cost-effective and secure platform across the organization. This role applies advanced data engineering and platform engineering principles to moderately complex and high value initiatives. This role will exercise independent judgment, own key technical decisions, and contribute to a long-term platform strategy while delivering a hands-on implementation.
Key Responsibilities
Platform Design, Initialization & Implementation
- Lead the initial setup and configuration of the Datasphere platform, establishing foundational design patterns, environments, and operational standards.
- Define and implement the Datasphere architecture, including space organization, separation of concerns, and alignment to business domains.
- Design and establish data integration between Datasphere and upstream / downstream systems, including Databricks and SAP.
Platform Maintenance & Support
- Lead the identification and assessment of ongoing maintenance and support needs for the Datasphere platform.
- Provide ongoing maintenance and support, in coordination with other teams, for the Datasphere platform.
Security & Governance
- Partner with business stakeholders to design and implement the Datasphere security model.
- Ensure the platform aligns with enterprise data governance standards and security best practices.
- Contribute to the definition of platform access and security roles to enable secure self-service while maintaining appropriate controls.
Stakeholder Collaboration
- Work directly with business and technical stakeholders to understand data, access, and operational requirements.
- Translate business needs into technical designs that balance stability, scalability, and cost-effectiveness.
- Provide guidance and recommendations on Datasphere capabilities, constraints, and best practices.
Engineering & Delivery
- Develop and maintain infrastructure as code to enable automation of configuring and supporting the Datasphere platform.
- Apply data engineering best practices to ensure stability, scalability, and cost-effectiveness of the platform.
- Participate as a technical lead or primary on platform-related initiatives, providing estimates and contributing to delivery planning.
Documentation & Enablement
- Create and maintain clear technical documentation for Datasphere architecture, security models, and operational processes.
- Contribute to onboarding materials and knowledge sharing to enable adoption by data engineers and business users.
- Mentor team members and provide technical guidance related to Datasphere usage and design.
- Provide time and effort estimates for assigned work.
Typical Education
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field or equivalent practical experience.
Required Qualifications
- 4-10 years of experience in data engineering, platform engineering, or analytics platform implementation.
- Experience with cloud-based data platforms and modern data engineering tools.
- Strong understanding of data platform architecture and data modeling concepts.
- Proficiency in SQL and familiarity with automation, scripting, or infrastructure-as-code concepts.
- Ability to evaluate and recommend platform design patterns based on business and technical requirements.
Preferred Qualifications
- Prior experience standing up or modernizing an enterprise analytics or data sharing platform.
- Experience working in cross-functional teams with data engineering, security, and business stakeholders.
- Exposure to large-scale data platforms and integration with enterprise data platforms.
- Experience with SAP Joule, Databricks, Snowflake, Azure, or Terraform.
Job Requisition ID: 25640
Travel Required:
Location(s): Simplot Headquarters - Boise
Country: United States
The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status.
The J.R. Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture.
Summary
The Datasphere Engineer role is responsible for the design, initialization, implementation, maintenance, and support of the enterprise Datasphere platform. This role partners closely with business stakeholders, the data engineering team, the SAP team, and security teams to establish the core architectural patterns, security schema, and operational standards that will enable a stable, scalable, cost-effective and secure platform across the organization. This role applies advanced data engineering and platform engineering principles to moderately complex and high value initiatives. This role will exercise independent judgment, own key technical decisions, and contribute to a long-term platform strategy while delivering a hands-on implementation.
Key Responsibilities
Platform Design, Initialization & Implementation
- Lead the initial setup and configuration of the Datasphere platform, establishing foundational design patterns, environments, and operational standards.
- Define and implement the Datasphere architecture, including space organization, separation of concerns, and alignment to business domains.
- Design and establish data integration between Datasphere and upstream / downstream systems, including Databricks and SAP.
Platform Maintenance & Support
- Lead the identification and assessment of ongoing maintenance and support needs for the Datasphere platform.
- Provide ongoing maintenance and support, in coordination with other teams, for the Datasphere platform.
Security & Governance
- Partner with business stakeholders to design and implement the Datasphere security model.
- Ensure the platform aligns with enterprise data governance standards and security best practices.
- Contribute to the definition of platform access and security roles to enable secure self-service while maintaining appropriate controls.
Stakeholder Collaboration
- Work directly with business and technical stakeholders to understand data, access, and operational requirements.
- Translate business needs into technical designs that balance stability, scalability, and cost-effectiveness.
- Provide guidance and recommendations on Datasphere capabilities, constraints, and best practices.
Engineering & Delivery
- Develop and maintain infrastructure as code to enable automation of configuring and supporting the Datasphere platform.
- Apply data engineering best practices to ensure stability, scalability, and cost-effectiveness of the platform.
- Participate as a technical lead or primary on platform-related initiatives, providing estimates and contributing to delivery planning.
Documentation & Enablement
- Create and maintain clear technical documentation for Datasphere architecture, security models, and operational processes.
- Contribute to onboarding materials and knowledge sharing to enable adoption by data engineers and business users.
- Mentor team members and provide technical guidance related to Datasphere usage and design.
- Provide time and effort estimates for assigned work.
Typical Education
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field or equivalent practical experience.
Required Qualifications
- 4-10 years of experience in data engineering, platform engineering, or analytics platform implementation.
- Experience with cloud-based data platforms and modern data engineering tools.
- Strong understanding of data platform architecture and data modeling concepts.
- Proficiency in SQL and familiarity with automation, scripting, or infrastructure-as-code concepts.
- Ability to evaluate and recommend platform design patterns based on business and technical requirements.
Preferred Qualifications
- Prior experience standing up or modernizing an enterprise analytics or data sharing platform.
- Experience working in cross-functional teams with data engineering, security, and business stakeholders.
- Exposure to large-scale data platforms and integration with enterprise data platforms.
- Experience with SAP Joule, Databricks, Snowflake, Azure, or Terraform.
Job Requisition ID: 25640
Travel Required:
Location(s): Simplot Headquarters - Boise
Country: United States
The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status.
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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.
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Find Data Platform Engineer JobsFrequently 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 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.
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