Data Contributor Visa Sponsorship Jobs in Minnesota
Data contributor roles in Minnesota are concentrated in the Twin Cities metro, where companies like Target, UnitedHealth Group, and 3M run large data operations teams. The state's mix of healthcare analytics, retail intelligence, and financial services creates consistent demand for data contributors, with employers in Minneapolis and St. Paul regularly filing for visa sponsorship.
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Get Access To All JobsAbout Pivot Bio:
Fueled by an innovative drive and a deep understanding of microbiology, genomics, crop nutrition and agriculture, Pivot Bio is pioneering game-changing advances in fertilizer technology. Our first commercial product harnesses the power of naturally-occurring microbes, modern gene editing and application technologies to provide nitrogen to crops. We are dedicated to providing new solutions for farmers to improve yield as they work to help feed the world’s growing population. Read/Hear more about Pivot Bio on Forbes or PBS News Hour.
Pivot Bio's Director, Data Architect will play a key role in making data actionable at all levels of the organization to inform decisions, actions, and strategy. This individual will design and implement the company's data platform strategy creating the foundational architecture that connects lab discovery to field performance to manufacturing operations. The Data Architect works at the intersection of agronomic science, industrial operations, and commercial execution, designing modern, scalable data systems that organize and analyze data across all domains.
In this role, the Director, Data Architect will develop and deliver long-term strategic goals for data architecture vision and standards in collaboration with cross-functional stakeholders. A critical aspect of the role is translating business requirements from Product Innovation, Manufacturing, and Commercial teams into elegant technical architectures that balance immediate needs with long-term scalability. This role will provide technical recommendations throughout the solution/data architecture and implementation lifecycle, working hands-on when needed to prove concepts and establish patterns. The Director, Data Architect reports to the Head of Digital and works in close partnership with Product, Engineering, and Data Science teams, interfacing with business stakeholders across R&D, Manufacturing, Agronomy, and Commercial functions. Strong candidates have deep data platform expertise, pragmatic architectural judgment, and the ability to translate complex scientific and business requirements into clean, scalable data systems.
This role can be located in St. Louis, MO or Minneapolis, MN and will be onsite 4 days a week.
Essential Functions:
- Define data architecture vision and standards in collaboration with stakeholders
- Design and implement modern data platform integrating Lab, Manufacturing, Agronomic, and Corporate Operations across the agricultural value chain
- Design integration patterns for 3rd party data sources including soil tests, machinery data, imagery, and partner APIs
- Establish data governance framework including MDM policies, data quality standards, and security protocols
- Enable AI-ready infrastructure supporting advanced analytics, ML models, and GenAI applications
- Own data quality and availability across modeling, enrichment, and accessibility for all stakeholders
- Validate architectures hands-on through POCs, implementation reviews, and technical problem-solving
Competencies:
- Data platform mastery: Expert in data lakes, warehouses, and data mesh architectures with deep Databricks experience
- Data modeling expertise: Dimensional modeling, normalized schemas, graph databases, and domain-driven design
- Modern data stack: Databricks (preferred), ETL/ELT tools, streaming technologies, and BI platforms (Tableau, PowerBI)
- Data governance: Quality, profiling, security, metadata management, MDM, archival, and migration strategies
- Technical depth: Advanced SQL, Python/scripting, query optimization, and performance tuning
- Systems thinking: Balances strategic vision with pragmatic execution and speed-to-value trade-offs
- Ambiguity navigation: Defines elegant architecture despite incomplete requirements or evolving business needs
Required Education & Experience:
- Bachelor's degree in Computer Science, Engineering, or related field
- 10+ years of focused experience on data architecture and data engineering
- Proven experience in enterprise data modeling including dimensional modeling, normalization strategies and domain-driven design
- Deep hands-on experience with modern data platforms (Databricks strongly preferred)
- Strong programming skills in SQL; proficiency with scripting languages (Python, R, similar)
- Understanding of agronomic data, crop nutrition, soil science, or precision agriculture would be a strong plus
- Track record designing data architectures that enable advanced analytics and AI/ML applications
Must be authorized to work in the United States
What We Offer:
- Competitive package in a disruptive startup
- Stock options
- Health/Dental/Vision insurance with employer-paid premiums
- Life, Short-Term and Long-Term Disability policies
- Employee Assistance Program with free referrals and discounts
- 401(k) plan, 3% Match
- Commuter benefits
- Annual Training & Development support
- Flexible vacation policy with a generous holiday schedule
- Exciting opportunity to work with a talented and fun team
LI-Onsite
All remote positions and those not located in our Berkeley facility are paid based on National Benchmark data. Following employment, growth beyond the hiring range is possible based on performance.
Hiring Compensation Range
$165,000 - $206,000 USD
About Pivot Bio:
Fueled by an innovative drive and a deep understanding of microbiology, genomics, crop nutrition and agriculture, Pivot Bio is pioneering game-changing advances in fertilizer technology. Our first commercial product harnesses the power of naturally-occurring microbes, modern gene editing and application technologies to provide nitrogen to crops. We are dedicated to providing new solutions for farmers to improve yield as they work to help feed the world’s growing population. Read/Hear more about Pivot Bio on Forbes or PBS News Hour.
Pivot Bio's Director, Data Architect will play a key role in making data actionable at all levels of the organization to inform decisions, actions, and strategy. This individual will design and implement the company's data platform strategy creating the foundational architecture that connects lab discovery to field performance to manufacturing operations. The Data Architect works at the intersection of agronomic science, industrial operations, and commercial execution, designing modern, scalable data systems that organize and analyze data across all domains.
In this role, the Director, Data Architect will develop and deliver long-term strategic goals for data architecture vision and standards in collaboration with cross-functional stakeholders. A critical aspect of the role is translating business requirements from Product Innovation, Manufacturing, and Commercial teams into elegant technical architectures that balance immediate needs with long-term scalability. This role will provide technical recommendations throughout the solution/data architecture and implementation lifecycle, working hands-on when needed to prove concepts and establish patterns. The Director, Data Architect reports to the Head of Digital and works in close partnership with Product, Engineering, and Data Science teams, interfacing with business stakeholders across R&D, Manufacturing, Agronomy, and Commercial functions. Strong candidates have deep data platform expertise, pragmatic architectural judgment, and the ability to translate complex scientific and business requirements into clean, scalable data systems.
This role can be located in St. Louis, MO or Minneapolis, MN and will be onsite 4 days a week.
Essential Functions:
- Define data architecture vision and standards in collaboration with stakeholders
- Design and implement modern data platform integrating Lab, Manufacturing, Agronomic, and Corporate Operations across the agricultural value chain
- Design integration patterns for 3rd party data sources including soil tests, machinery data, imagery, and partner APIs
- Establish data governance framework including MDM policies, data quality standards, and security protocols
- Enable AI-ready infrastructure supporting advanced analytics, ML models, and GenAI applications
- Own data quality and availability across modeling, enrichment, and accessibility for all stakeholders
- Validate architectures hands-on through POCs, implementation reviews, and technical problem-solving
Competencies:
- Data platform mastery: Expert in data lakes, warehouses, and data mesh architectures with deep Databricks experience
- Data modeling expertise: Dimensional modeling, normalized schemas, graph databases, and domain-driven design
- Modern data stack: Databricks (preferred), ETL/ELT tools, streaming technologies, and BI platforms (Tableau, PowerBI)
- Data governance: Quality, profiling, security, metadata management, MDM, archival, and migration strategies
- Technical depth: Advanced SQL, Python/scripting, query optimization, and performance tuning
- Systems thinking: Balances strategic vision with pragmatic execution and speed-to-value trade-offs
- Ambiguity navigation: Defines elegant architecture despite incomplete requirements or evolving business needs
Required Education & Experience:
- Bachelor's degree in Computer Science, Engineering, or related field
- 10+ years of focused experience on data architecture and data engineering
- Proven experience in enterprise data modeling including dimensional modeling, normalization strategies and domain-driven design
- Deep hands-on experience with modern data platforms (Databricks strongly preferred)
- Strong programming skills in SQL; proficiency with scripting languages (Python, R, similar)
- Understanding of agronomic data, crop nutrition, soil science, or precision agriculture would be a strong plus
- Track record designing data architectures that enable advanced analytics and AI/ML applications
Must be authorized to work in the United States
What We Offer:
- Competitive package in a disruptive startup
- Stock options
- Health/Dental/Vision insurance with employer-paid premiums
- Life, Short-Term and Long-Term Disability policies
- Employee Assistance Program with free referrals and discounts
- 401(k) plan, 3% Match
- Commuter benefits
- Annual Training & Development support
- Flexible vacation policy with a generous holiday schedule
- Exciting opportunity to work with a talented and fun team
LI-Onsite
All remote positions and those not located in our Berkeley facility are paid based on National Benchmark data. Following employment, growth beyond the hiring range is possible based on performance.
Hiring Compensation Range
$165,000 - $206,000 USD
Data Contributor Job Roles in Minnesota
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Search Data Contributor Jobs in MinnesotaData Contributor Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for data contributors in Minnesota?
The most active visa sponsors for data contributor roles in Minnesota include UnitedHealth Group, Target, 3M, Mayo Clinic, and Optum, which is headquartered in Eden Prairie. These organizations run large-scale data operations and have established immigration support processes. Financial institutions like U.S. Bancorp and Ameriprise Financial also sponsor data roles in the Minneapolis metro with some regularity.
Which visa types are most common for data contributor roles in Minnesota?
The H-1B is the most common visa category for data contributor positions in Minnesota, as these roles typically require a bachelor's degree or higher in a field like data science, computer science, or statistics, which satisfies the specialty occupation standard. Candidates with Canadian or Mexican citizenship may qualify for TN status under the USMCA. Australian citizens can explore the E-3 visa as an alternative to the H-1B lottery.
How to find data contributor visa sponsorship jobs in Minnesota?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search for data contributor roles in Minnesota without sorting through positions that don't offer sponsorship. Because the Twin Cities market spans healthcare, retail, and financial services, filtering by industry on Migrate Mate helps narrow results to employers with active sponsorship programs rather than reviewing unfiltered postings.
Which cities in Minnesota have the most data contributor sponsorship jobs?
Minneapolis and St. Paul together account for the large majority of data contributor sponsorship activity in Minnesota. Specific suburbs worth noting include Eden Prairie, home to Optum, and Minnetonka, where several healthcare technology firms operate. Rochester has a smaller but active data hiring market driven by Mayo Clinic's research and analytics divisions. Remote-optional roles posted by Twin Cities employers sometimes list Minnesota broadly.
Are there state-specific considerations for data contributor roles in Minnesota?
Minnesota's concentration in healthcare IT and retail analytics means many data contributor positions involve handling regulated data, which can influence job requirements and the specificity of degree fields employers list on Labor Condition Applications. The University of Minnesota and University of St. Thomas produce graduates who enter local data pipelines, so employers in the Twin Cities are generally familiar with sponsoring international candidates coming out of those programs.
What is the prevailing wage for sponsored data contributor jobs in Minnesota?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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