STEM OPT Data Contributor Jobs
Data Contributor roles in data entry, annotation, and labeling qualify for STEM OPT when your degree falls under an approved CIP code in computer science, information systems, or a related field. Your employer must be enrolled in E-Verify, and the 24-month STEM OPT extension gives you up to 36 months total to build your data career in the U.S.
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Get Access To All JobsINTRODUCTION
Simplot is a family-owned, privately held global food and agriculture company headquartered in Boise, Idaho. Its integrated portfolio of companies includes food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture. Simplot has major operations in nine countries with products and services available to customers worldwide.
SUMMARY
This role will lead the build-out of Simplot’s new SAP Datasphere environment into a scalable, production-ready state. You’ll define how data is integrated, governed, and delivered across SAP and non-SAP systems as part of a modern data fabric architecture. This role partners closely with business stakeholders, data engineering, SAP, and security teams to establish 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 and 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, Databricks, Snowflake, Azure, or Terraform.
- Experience with SAP, SAP BW, SAP Data Products or SAP Business Content.
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.
#LI-MH1
INTRODUCTION
Simplot is a family-owned, privately held global food and agriculture company headquartered in Boise, Idaho. Its integrated portfolio of companies includes food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture. Simplot has major operations in nine countries with products and services available to customers worldwide.
SUMMARY
This role will lead the build-out of Simplot’s new SAP Datasphere environment into a scalable, production-ready state. You’ll define how data is integrated, governed, and delivered across SAP and non-SAP systems as part of a modern data fabric architecture. This role partners closely with business stakeholders, data engineering, SAP, and security teams to establish 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 and 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, Databricks, Snowflake, Azure, or Terraform.
- Experience with SAP, SAP BW, SAP Data Products or SAP Business Content.
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.
#LI-MH1
See all 5,301+ STEM OPT Data Contributor Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization in Data Contributor
Verify your CIP code before applying
Check your degree's Classification of Instructional Programs code against the DHS STEM Designated Degree Program List before you target Data Contributor roles. Computer science, data science, and information systems CIP codes typically qualify, but applied social science concentrations often don't.
Confirm E-Verify enrollment before interviews
Ask recruiters to confirm their E-Verify employer identification number during the screening call, not after an offer. Employers not enrolled in E-Verify cannot legally employ STEM OPT students, and switching employers mid-process restarts your 60-day reporting window.
Frame your I-983 training plan around data workflows
Your training plan must connect your assigned data tasks, such as annotation pipelines or quality-control workflows, to specific learning objectives tied to your STEM degree. Generic job descriptions get flagged by DSOs; map each duty to a coursework competency you developed.
Target employers with active DOL LCA filing history
Use Migrate Mate to filter Data Contributor postings by employers who have filed Labor Condition Applications, which signals they understand work-authorization compliance and are prepared to support structured OPT training plans and future visa transitions.
Request the offer letter before your OPT end date
Your STEM OPT extension application must be filed while your initial OPT EAD is still valid. Submit the I-765 with your completed I-983 at least 90 days before your OPT expires to avoid an authorization gap between your initial and extended periods.
Cross-reference your role against O*NET before filing
Pull the O*NET occupation profile for Data Contributor or the closest matching SOC code and verify that the listed entry requirements include a bachelor's degree in a STEM field. If the profile lists a high school diploma as sufficient, document why your specific position requires STEM-level skills in your I-983.
Frequently Asked Questions
Does a Data Contributor role qualify for STEM OPT?
It depends on how the role is structured and what your degree covers. Data Contributor positions focused on data annotation, pipeline management, or quality assurance can qualify if your employer documents that the work requires and applies STEM-level knowledge. Your DSO will review the I-983 training plan to confirm the role connects to your specific CIP code, so the job description and learning objectives need to be precise, not generic.
What STEM degrees make me eligible for a Data Contributor extension?
Degrees in computer science, data science, information systems, statistics, mathematics, and related engineering fields are commonly approved under the DHS STEM Designated Degree Program List. Your degree must carry an approved CIP code, not just a STEM-adjacent title. If your degree is in a social science or business analytics program, check whether your institution assigned it a qualifying CIP code before assuming you're eligible.
Does my Data Contributor employer need to be enrolled in E-Verify?
Yes, E-Verify enrollment is a hard requirement for STEM OPT. Your employer must be enrolled before your extension is approved, and you must be employed at an enrolled site, not just under an enrolled parent company. If your worksite is a subsidiary or client site under a staffing arrangement, confirm that the specific legal entity signing your I-983 is the one enrolled in E-Verify.
How do I find Data Contributor jobs where employers already understand STEM OPT?
Migrate Mate filters job listings by employers with documented Labor Condition Application filing history, which identifies companies already familiar with work-authorization compliance. Searching there reduces time spent explaining STEM OPT requirements to recruiters who haven't encountered the I-983 process before, and surfaces roles where the hiring infrastructure for OPT students is already in place.
What happens to my STEM OPT if my Data Contributor job ends before the extension expires?
You have a 60-day unemployment grace period from your last day of employment to find a new qualifying position. If you start a new job within that window, you must update your DSO with a revised I-983 reflecting the new employer and training plan. If you don't secure new employment within 60 days, your STEM OPT authorization ends and you must either change status or depart the U.S.