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Software Engineer Jobs in Marshall, MN (NOW HIRING)

B H Electronics Inc

Manufacturing Engineer

Marshall, MN · On-site

$67K - $100K/yr

Familiar with MS Office and ability to learn software necessary for position * Knowledge of manufacturing engineering. Experience is required and a degree is useful * Experience with tool design and ...

RITALKA, Inc

Director of Technology

Montevideo, MN · On-site

$103K/yr

... software systems, including Global Shop MRP, engineering platforms, and enterprise productivity toolsOversee the design, security, and maintenance of corporate network and infrastructure ...

RITALKA, Inc

Director of Technology

Granite Falls, MN · On-site

$103K/yr

... software systems, including Global Shop MRP, engineering platforms, and enterprise productivity toolsOversee the design, security, and maintenance of corporate network and infrastructure ...

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All JobsSoftware Engineer JobsSoftware Engineer Jobs in Marshall, MN

Software Engineer information

See Marshall, MN salary details

$62.9K

$146.2K

$203.6K

How much do software engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for software engineer in Marshall, MN is $146,167.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $171,400.00 per year, depending on experience, location, and employer.

What is a software engineer?

Software Engineers are professionals who design, develop, test, and maintain computer software and systems. They use programming languages, engineering principles, and problem-solving skills to build applications, websites, or software solutions that meet specific needs. Software Engineers may work in a variety of industries, such as technology, finance, healthcare, or entertainment, collaborating with other team members to deliver functional and reliable software. Their role often involves analyzing user requirements, writing code, debugging errors, and continually improving software performance.

What are the key skills and qualifications needed to thrive as a software engineer, and why are they important?

To thrive as a Software Engineer, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with coding languages (such as Python, Java, or C++), version control systems like Git, and knowledge of software development methodologies are typically required. Excellent teamwork, communication, and adaptability distinguish top performers in this role. These skills ensure efficient, high-quality software development that meets user needs and adapts to technological changes.

What are some common challenges software engineers face when collaborating on large development teams?

Software engineers working on large teams often encounter challenges with communication, code integration, and maintaining consistent coding standards. Coordinating across multiple developers can lead to merge conflicts and misunderstandings about project requirements or priorities. Adopting tools like version control systems, regular code reviews, and clear documentation helps mitigate these issues. Building strong collaboration skills and proactively seeking clarification are key to ensuring smooth teamwork and project success.

What is the difference between Software Engineer vs Software Developer?

AspectSoftware EngineerSoftware Developer
CredentialsBachelor's degree in CS or related field, certificationsBachelor's degree often preferred, certifications optional
Work EnvironmentDesigning, developing, testing, and maintaining software systemsWriting, coding, and implementing software applications
Industry UsageUsed across tech, finance, healthcare, and more for system-level rolesCommonly used in app and web development projects
Search IntentUnderstanding roles, responsibilities, and qualificationsLearning about coding, programming, and project work

While both roles involve software creation, Software Engineers typically focus on designing and architecting complex systems, whereas Software Developers mainly concentrate on coding and building specific applications. The roles often overlap, but the Engineer role may require broader system knowledge and design skills.

Are software engineers still in demand?

Yes, software engineers are in high demand across many industries due to ongoing digital transformation, the growth of cloud computing, and the need for software development, maintenance, and cybersecurity skills. The profession offers strong job stability, competitive salaries, and opportunities to work with various programming languages and tools.

Is 25 too late to become a software engineer?

Age is not a barrier to becoming a software engineer; many professionals start careers in tech in their mid-20s or later. Success depends on acquiring relevant skills, such as programming languages and problem-solving, often through coding bootcamps, online courses, or formal education. Employers value skills and experience over age, making it possible to enter the field at 25 or older.
More about Software Engineer jobs

What are the most commonly searched types of Software Engineer jobs in Marshall, MN?

The most popular types of Software Engineer jobs in Marshall, MN are:

What cities near Marshall, MN are hiring for Software Engineer jobs?

Cities near Marshall, MN with the most Software Engineer job openings:

Software Engineer jobs near you
Infographic showing various Software Engineer job openings in Marshall, MN as of September 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% In-person job distribution, with an average salary of $146,167 per year, or $70.3 per hour.

Principal Machine Learning Engineer

Minneota, MN • Remote

Vail Resorts
See more jobs at Vail Resortsexternal

$140K - $185K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

New

Vail Resorts rating

7.0

Company rating: 7.0 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

Job description

Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you’re ready to pursue your fullest potential, we want to get to know you!

Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first).

Job Summary:

We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact.

The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences.

Job Specifications:

  • Starting Wage: $140,000 - $185,000 + Annual Bonus 

  • Employment Type: Year Round  

  • Shift Type: Full Time hours

  • Minimum Age: At least 18 years of age  

  • Housing Availability: No  

Job Responsibilities: 

  • Productionize ML models developed by data science into reliable, monitored, maintainable systems.
  • Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable.
  • Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows.
  • Identify and scope opportunities for ML engineering across the business for high-impact.
  • Develop reusable tools, libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams.
  • Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users.
  • Prepare the platform for future AI engineering, including LLM and agent-based systems, as the organization matures.
  • Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews.

Job Requirements: 

Technical Skills:

  • Quantitative Foundation: B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering).
  • Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts.
  • Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services.
  • Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage.
  • ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement.
  • Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback.
  • Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture.
  • Databricks Expertise: You’re familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance.
  • DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability.
  • Application Development: You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs.
  • System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use.

Soft Skills:

  • Curious: bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning.
  • Ownership: take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions.
  • Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences.
  • Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders.
  • Pragmatism: You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship.

Preferred qualifications:

  • A graduate degree (Masters or PhD) in a quantitative field
  • Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management
  • Experience with AI engineer to use, build, and monitor agentic solutions

The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors.
 

Job Benefits

  • Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons
  • MORE employee discounts on lodging, food, gear, and mountain shuttles
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Excellent training and professional development

Full Time roles are eligible for the above, plus:

  • Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours)
  • Free ski passes for dependents
  • Critical Illness and Accident plans

Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states* in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming.

Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. 

In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. 

We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers.

Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law.

Requisition ID  517322
Reference Date: 09/05/2026 
Job Code Function: Data Science  

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