Data Science Engineer Visa Sponsorship Jobs in Minnesota
Minnesota's data science engineer job market centers on Minneapolis-Saint Paul, where companies like UnitedHealth Group, Target, Best Buy, and 3M actively hire for data-intensive roles. The University of Minnesota also feeds a steady pipeline of technical talent, making the Twin Cities a recognized hub for analytics and machine learning engineering work that regularly attracts visa sponsorship.
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Get Access To All JobsSummary of Job:
As a senior analytics engineer, you’ll work across a dynamic client roster designing and building data solutions that connect media, site, and marketing performance data into actionable insights. You will partner closely with analytics, strategy, media, and client teams to architect scalable data solutions that answer business questions and support marketing decision-making. This role requires a hands-on, solution-oriented engineer who combines deep technical expertise with a strong understanding of media and digital analytics. The ideal candidate proactively identifies opportunities, solves complex data challenges, and helps shape how data is leveraged across the agency and for our clients.
What You’ll Do:
Design data solutions that solve client business needs
- Partner with analytics and media teams to understand business objectives and translate them into scalable data solutions.
- Design data models that integrate media, site, sales, and media conversion data to provide a complete view of marketing performance.
- Recommend and implement measurement approaches that support both agency and client objectives.
- Serve as a subject matter expert on media and marketing data architecture.
Lead media data engineering initiatives
- Build and maintain integrations across major advertising, analytics, and marketing technology platforms.
- Develop scalable frameworks for campaign performance measurement, attribution, audience analysis, and optimization.
- Evaluate emerging platforms, APIs, and data sources to improve agency capabilities and client outcomes.
Build and maintain data pipelines
- Automate reporting pipelines with speed, accuracy, and scalability in mind.
- Demonstrate best practices in data engineering and account for considerations specific to media and site data in every step of the automation process.
- Write and optimize SQL views, Python/R scripts, and API connectors as needed.
- Continually optimize data cleaning and anomaly detection processes.
- Help manage and advance our GCP infrastructure, particularly with BigQuery and GCP integrations.
Own data quality and governance
- Enforce naming conventions, dataset groupings, versioning, and access standards.
- Maintain rigorous QA practices to ensure clean, reliable, and consistent data.
- Continuously seek opportunities to improve processes and infrastructure.
Solve problems relentlessly
- Proactively catch and investigate issues, find root causes, and go beyond surface solutions.
- Work with analysts to anticipate needs and ensure data is easy to find and use.
- Demonstrate situational awareness and know when to escalate, push or pull back, or execute.
- Communicate effectively with less technical stakeholders to address challenges and keep them updated on progress.
You Could Be a Good Fit If:
- You take ownership of data quality and availability like it’s mission critical.
- You already are, or have the drive to become, an expert in media data.
- You’re a problem-solver who doesn’t stop at “it’s broken.” You figure out why and how to fix it.
- You balance speed and accuracy, knowing both matter in a client-driven environment.
- You’re adaptable, resourceful, and curious. You’re able to figure things out with limited direction. Learning new things and finding creative solutions are some of your favorite parts of your job.
Requirements
Education:
- A bachelor’s degree preferred or equivalent work experience in related field such as computer science, data science, mathematics/statistics, marketing analytics, etc.
Skills and Experience:
- 6+ years of experience in data engineering, marketing analytics, media analytics, or related disciplines. Agency experience strongly preferred.
- Expert-level SQL and Python skills with experience developing scalable production-grade data pipelines.
- Deep experience working with digital media data, including campaign delivery, audience, conversion, and attribution datasets.
- Proven experience designing and implementing data solutions that support media planning, optimization, measurement, and reporting.
- Strong understanding of digital marketing ecosystems, including platforms such as Google Ads, CM360, DV360, The Trade Desk, Meta, LinkedIn, Adobe Analytics, and Google Analytics 4.
- Experience integrating multiple data sources, including media, site analytics, offline conversion, and first-party customer data.
- Deep experience with BigQuery, GCP, or similar cloud-based data warehouse environments.
- Experience evaluating client business requirements and translating them into scalable technical solutions.
- Experience building data products, automated reporting frameworks, and measurement solutions for internal and external stakeholders.
- Experience with dashboarding and visualization tools such as Tableau, Looker, Power BI, or similar.
Competencies (Characteristics and Work Style):
- Understands both the technical and business implications of data solutions.
- Recommends approaches rather than simply execute requirements.
- Builds credibility with clients and internal stakeholders through expertise and thoughtful problem solving.
- Demonstrates ownership, initiative, and accountability from project inception through delivery.
- Influences decisions and challenges assumptions when a better solution exists.
Summary of Job:
As a senior analytics engineer, you’ll work across a dynamic client roster designing and building data solutions that connect media, site, and marketing performance data into actionable insights. You will partner closely with analytics, strategy, media, and client teams to architect scalable data solutions that answer business questions and support marketing decision-making. This role requires a hands-on, solution-oriented engineer who combines deep technical expertise with a strong understanding of media and digital analytics. The ideal candidate proactively identifies opportunities, solves complex data challenges, and helps shape how data is leveraged across the agency and for our clients.
What You’ll Do:
Design data solutions that solve client business needs
- Partner with analytics and media teams to understand business objectives and translate them into scalable data solutions.
- Design data models that integrate media, site, sales, and media conversion data to provide a complete view of marketing performance.
- Recommend and implement measurement approaches that support both agency and client objectives.
- Serve as a subject matter expert on media and marketing data architecture.
Lead media data engineering initiatives
- Build and maintain integrations across major advertising, analytics, and marketing technology platforms.
- Develop scalable frameworks for campaign performance measurement, attribution, audience analysis, and optimization.
- Evaluate emerging platforms, APIs, and data sources to improve agency capabilities and client outcomes.
Build and maintain data pipelines
- Automate reporting pipelines with speed, accuracy, and scalability in mind.
- Demonstrate best practices in data engineering and account for considerations specific to media and site data in every step of the automation process.
- Write and optimize SQL views, Python/R scripts, and API connectors as needed.
- Continually optimize data cleaning and anomaly detection processes.
- Help manage and advance our GCP infrastructure, particularly with BigQuery and GCP integrations.
Own data quality and governance
- Enforce naming conventions, dataset groupings, versioning, and access standards.
- Maintain rigorous QA practices to ensure clean, reliable, and consistent data.
- Continuously seek opportunities to improve processes and infrastructure.
Solve problems relentlessly
- Proactively catch and investigate issues, find root causes, and go beyond surface solutions.
- Work with analysts to anticipate needs and ensure data is easy to find and use.
- Demonstrate situational awareness and know when to escalate, push or pull back, or execute.
- Communicate effectively with less technical stakeholders to address challenges and keep them updated on progress.
You Could Be a Good Fit If:
- You take ownership of data quality and availability like it’s mission critical.
- You already are, or have the drive to become, an expert in media data.
- You’re a problem-solver who doesn’t stop at “it’s broken.” You figure out why and how to fix it.
- You balance speed and accuracy, knowing both matter in a client-driven environment.
- You’re adaptable, resourceful, and curious. You’re able to figure things out with limited direction. Learning new things and finding creative solutions are some of your favorite parts of your job.
Requirements
Education:
- A bachelor’s degree preferred or equivalent work experience in related field such as computer science, data science, mathematics/statistics, marketing analytics, etc.
Skills and Experience:
- 6+ years of experience in data engineering, marketing analytics, media analytics, or related disciplines. Agency experience strongly preferred.
- Expert-level SQL and Python skills with experience developing scalable production-grade data pipelines.
- Deep experience working with digital media data, including campaign delivery, audience, conversion, and attribution datasets.
- Proven experience designing and implementing data solutions that support media planning, optimization, measurement, and reporting.
- Strong understanding of digital marketing ecosystems, including platforms such as Google Ads, CM360, DV360, The Trade Desk, Meta, LinkedIn, Adobe Analytics, and Google Analytics 4.
- Experience integrating multiple data sources, including media, site analytics, offline conversion, and first-party customer data.
- Deep experience with BigQuery, GCP, or similar cloud-based data warehouse environments.
- Experience evaluating client business requirements and translating them into scalable technical solutions.
- Experience building data products, automated reporting frameworks, and measurement solutions for internal and external stakeholders.
- Experience with dashboarding and visualization tools such as Tableau, Looker, Power BI, or similar.
Competencies (Characteristics and Work Style):
- Understands both the technical and business implications of data solutions.
- Recommends approaches rather than simply execute requirements.
- Builds credibility with clients and internal stakeholders through expertise and thoughtful problem solving.
- Demonstrates ownership, initiative, and accountability from project inception through delivery.
- Influences decisions and challenges assumptions when a better solution exists.
Data Science Engineer Job Roles in Minnesota
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Search Data Science Engineer Jobs in MinnesotaData Science Engineer Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for data science engineers in Minnesota?
UnitedHealth Group, Target, Best Buy, 3M, and Medtronic are among the most active sponsors for data science engineer roles in Minnesota, based on historical H-1B visa Labor Condition Application filings. The healthcare and retail sectors drive much of this demand in the Twin Cities. Smaller analytics firms and fintech startups in Minneapolis also sponsor, though less consistently than large enterprises.
Which visa types are most common for data science engineer roles in Minnesota?
The H-1B is the most common visa category for data science engineers in Minnesota, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT extensions often transition to H-1B through employer sponsorship. The O-1A is an option for those with demonstrated exceptional achievement in the field.
Which cities in Minnesota have the most data science engineer sponsorship jobs?
Minneapolis and Saint Paul together account for the overwhelming majority of data science engineer sponsorship opportunities in Minnesota. Bloomington and Eden Prairie, both part of the greater Twin Cities metro, also host significant employer concentrations, particularly in healthcare technology and retail analytics. Rochester has a smaller but notable presence tied to Mayo Clinic's data and research operations.
How to find data science engineer visa sponsorship jobs in Minnesota?
Migrate Mate is built specifically for international job seekers and filters data science engineer roles in Minnesota by visa sponsorship willingness, saving you from sifting through listings that won't support work authorization. You can browse current openings, see which Minnesota employers have a track record of sponsoring, and focus your applications on companies where sponsorship is a realistic outcome rather than an afterthought.
Are there state-specific factors that affect data science engineer sponsorship hiring in Minnesota?
Minnesota's strong university ecosystem, anchored by the University of Minnesota's data science and computer science programs, creates a consistent local talent pipeline that employers draw from, including international students on OPT. The state's concentration in healthcare IT, retail analytics, and medical devices means data science engineers with domain experience in those industries tend to be most competitive with Minnesota sponsors. Prevailing wage requirements under H-1B rules apply based on the specific metro area and job level.
What is the prevailing wage for sponsored data science engineer 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.