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Internship Math Software Engineer Jobs in Minneapolis, MN

HealthPartners

Data Engineer Senior

Bloomington, MN · On-site

$106K - $144K/yr

... Math, Software is acceptable * 5+ years of programming experience with command in at least two languages: SQL, Python, Java, R or Spark * Expert proficiency in SQL; experience with Oracle, PostgreSQL ...

HealthPartners

Data Engineer Senior

Bloomington, MN · On-site

$106K - $144K/yr

... Math, Software is acceptable * 5+ years of programming experience with command in at least two languages: SQL, Python, Java, R or Spark * Expert proficiency in SQL; experience with Oracle, PostgreSQL ...

Accelint

Data Engineer

Saint Paul, MN · On-site

$101K - $130K/yr

Combining differentiated hardware, software and mission expertise, Lyntris helps customers sense ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

MEDITECH

Engineer, Cloud Platform Software

Minnetonka, MN · Hybrid

$66K - $105K/yr

Computer Science, Mathematics, Engineering) * 1-3 years developing in Node.js environment ... Capability to develop software solutions by studying requirements, system flows along with data and ...

Kimley-Horn

Software Developer

Saint Paul, MN

Bachelor's degree in Software Engineering, Information Technology/Systems, Computer Science, or related field * 0-2 years of related work experience or internship(s) * Familiarity with relational ...

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All JobsMath Software Engineer JobsInternship Math Software Engineer JobsInternship Math Software Engineer Jobs in Minneapolis, MN

Internship Math Software Engineer information

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$14

$26

$40

How much do internship math software engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for internship math software engineer in Minneapolis, MN is $26.53, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $30.10 per hour, depending on experience, location, and employer.

What is the difference between Internship Math Software Engineer vs Data Analyst Intern?

AspectInternship Math Software EngineerData Analyst Intern
Required CredentialsRelevant math, computer science, or software engineering courseworkStatistics, data analysis, or related field coursework
Work EnvironmentSoftware development teams, coding, algorithm designData collection, visualization, reporting
Employer & Industry UsageTech companies, software firms, research labsBusiness, finance, marketing sectors
Search & Comparison IntentUnderstanding roles in software engineering with math focusComparing data analysis internships with software roles

The Internship Math Software Engineer typically involves coding, algorithm development, and applying mathematical concepts in software projects. In contrast, a Data Analyst Intern focuses on analyzing data, creating reports, and visualizations. Both roles require strong math skills but differ in daily tasks and industry applications.

What are the most commonly searched types of Math Software Engineer jobs in Minneapolis, MN? The most popular types of Math Software Engineer jobs in Minneapolis, MN are:
Internship Math Software Engineer jobs near you
Infographic showing various Internship Math Software Engineer job openings in Minneapolis, MN as of July 2026, with employment types broken down into 7% Internship, 69% Full Time, 10% Part Time, 12% Contract, and 2% Nights. Highlights an 98% In-person, and 2% Hybrid job distribution, with an average salary of $55,182 per year, or $26.5 per hour.
Software Development Engineer II

Software Development Engineer II

NextEra Energy

Saint Paul, MN • On-site

Other

Re-posted 11 days ago

NextEra Energy rating

8.3

Company rating: 8.3 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

24th of 52 rated energy and utility

Job description

Requisition ID:  95447 

NextEra Analytics offers energy consulting services using industry-leading scientific analysis for planning, siting, forecasting and optimizing all forms of energy projects. Our optimization and analytics platforms integrate open-source technologies to leverage massive, diverse sets of utility operating data. This enables rapid development of operational solutions. Applying expertise in advanced mathematics, data and physical sciences, we solve some of the hardest problems facing the energy industry.
 

Position Specific Description

We are seeking a high-caliber Software Development Engineer II to join a team building customer-centric solutions for the business. This role is designed for a top-tier engineer who combines deep technical expertise with strong product intuition and business acumen. You will tackle ambiguous challenges, rapidly prototype solutions directly with stakeholders, and architect scalable, secure systems. You operate with high autonomy, acting as the critical technical bridge that turns business objectives into high-performing software.

Key Responsibilities & Expectations

1. Engineering & System Design

  • Architect in Ambiguity: Translate loosely defined business problems into clean, robust architectures while anticipating edge cases.
  • Rapid Prototyping: Where applicable, build functional prototypes with stakeholders to validate ideas instantly and accelerate the feedback loop.
  • Full-Stack Delivery: Own features end-to-end across services, data, and UI, making pragmatic technology choices and avoiding unnecessary complexity.

2. Engineering Productivity with AI

  • AI-Assisted Development: Use agentic AI tools throughout the SDLC to move faster, while maintaining full accountability for code quality, correctness, and security.
  • Feedback Loops for Coding Agents: Design quality gates, spec-driven workflows, and deterministic checks that catch agent errors before humans do.
  • Critical Adoption: Evaluate AI tools and patterns critically, adopting what improves the team's output and discarding what doesn't.

3. Reliability & DevSecOps

  • Security-First Mindset: Embed security and compliance into the core of the development lifecycle, proactively mitigating vulnerabilities through secure design.
  • Production Standards: Build well-tested, maintainable software. Implement CI/CD pipelines to ensure systems are resilient, scalable, and optimized for an exceptional end-user experience.
  • Operational Readiness: Make production behavior measurable, debuggable, and recoverable by building observability, alerting, runbooks, and recovery paths into systems from the start.

4. Execution & Business Ownership

  • Drive Outcomes: Take ownership of delivering meaningful business results, managing scope responsibly, and communicating technical risks early.
  • Technical Translation: Partner closely with Product Managers and business leaders. Articulate complex architectural decisions and tradeoffs in clear, outcome-oriented terms.
  • Partnering Across Functions: Engage security, risk, compliance, and platform teams early, communicate technical tradeoffs clearly, and make the case when a project calls for a different approach.

5. Culture

  • High Performance: We value high standards, continuous learning, and collaborative problem solving, creating an environment where talented individuals can thrive alongside exceptional teammates.
  • Ownership & Accountability: Team members are trusted to take ownership of their work, exercise thoughtful judgment, and follow through on commitments.
  • Collaborative Autonomy: Teams operate with a high degree of trust and autonomy while working together to make decisions aligned with business, customer, and operational goals.

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