Excel Engineering (MN) Software Engineer interview questions & guide 2026

Our interview process is designed to assess both your technical proficiency and your ability to work within our collaborative, project-focused environment. The questions below represent the types of inquiries you may encounter, focusing on how you apply your engineering knowledge to solve real-world challenges.

Technical and Domain Knowledge

These questions test your understanding of core software engineering principles and your ability to apply them to specialized engineering domains.

• How do you ensure your code is maintainable and scalable when working on long-term engineering projects?
• Describe a time you had to troubleshoot a software bug that was integrated into a larger hardware or electrical system.

Preparation at Excel Engineering (MN) should focus on demonstrating both your technical depth and your ability to function as a collaborative partner. We look for candidates who can take ownership of their tasks while communicating effectively with cross-functional teams.

Technical Competency – We expect you to demonstrate a strong foundation in software development principles and an interest in the electrical and industrial domains. Be prepared to discuss your technical stack and how you have used specific tools to solve complex problems.

Cross-Functional Collaboration – Since you will be working alongside electrical and commissioning engineers, your ability to speak their "language" is vital. Show us that you can listen, understand their needs, and provide software solutions that genuinely improve their workflows.

Adaptability and Problem-Solving – Engineering projects often encounter unexpected hurdles. We want to see how you approach ambiguity and whether you can remain calm and analytical when a technical challenge arises.

The interview process at Excel Engineering (MN) is structured to be thorough yet efficient, ensuring that we identify candidates who are the right fit for our technical culture. You can expect a series of discussions that move from high-level screenings to more in-depth technical evaluations. Our philosophy is rooted in collaborative problem-solving; we want to see how you think through challenges in real-time.

This visual timeline illustrates the typical progression from initial screening to final team interviews. You should use this to gauge your preparation timeline, focusing on foundational knowledge early on and shifting toward deep-dive technical discussions as you reach the later stages.

Software Design and Implementation

We look for clean, modular, and efficient code. You should be able to explain your choice of architecture and how you ensure your software remains performant under load.

Be ready to go over:

• Modular Programming – Writing code that is easy to update and test.
• Error Handling – Ensuring system stability even when unexpected inputs occur.

As a Software Engineer at Excel Engineering (MN), you will serve as a technical backbone for our project teams. Your primary responsibility is the development, maintenance, and optimization of software that supports our engineering operations. This involves writing code for internal tools, automating data-heavy processes, and creating interfaces that allow our commissioning and project engineers to monitor systems more effectively.

You will spend a significant portion of your time collaborating with cross-functional teams. This means you will not be working in a silo; you will be actively participating in project meetings, helping to define the scope of technical deliverables, and troubleshooting issues that arise during the implementation of large-scale electrical projects.

We seek candidates who possess a blend of technical expertise and a pragmatic, solution-oriented mindset. While specific technical stacks are important, your ability to learn and apply new technologies to the engineering domain is equally critical.

• Must-have skills – Proficiency in core programming languages relevant to our systems, experience with software development lifecycles, and strong analytical skills.
• Nice-to-have skills – Familiarity with electrical engineering concepts, experience working in industrial or power-sector projects, and proficiency with data visualization or automation tools.
• Experience – We value both formal education and practical, hands-on experience in software development, particularly within roles that require high attention to detail and safety.

Q: How long does the interview process typically take? The timeline can vary depending on the specific team and project needs, but we aim to keep the process efficient and transparent. Most candidates complete the cycle within a few weeks from the initial screen to the final decision.

Q: What differentiates successful candidates? Successful candidates are those who demonstrate a genuine interest in the intersection of software and physical engineering. They don't just write code; they care about the impact their work has on the end-user—our engineers.

Q: Is there a focus on specific programming languages? We focus more on your ability to solve problems and your grasp of core computer science fundamentals. If you have a solid foundation, you can adapt to the specific tools we use at Excel Engineering (MN).

• Understand the Domain: Take time to learn about the types of projects Excel Engineering (MN) handles, such as power grid design and commissioning.
• Focus on Impact: When describing your past work, emphasize the results and how your software improved a process or helped a team.
• Ask Questions: We value candidates who are curious. Prepare thoughtful questions about our team structure and the specific challenges our engineers face.

The Software Engineer position at Excel Engineering (MN) offers a unique opportunity to apply your technical skills in a high-impact, mission-critical industry. By focusing on your technical fundamentals, your ability to collaborate across disciplines, and your capacity to solve real-world engineering problems, you will be well-positioned to succeed in your interviews. You can explore additional interview insights, practice questions, and preparation resources on Dataford.

The compensation data provided reflects the current market range for engineering roles within our organization. Candidates should interpret these figures as a starting point, recognizing that final offers are determined by a combination of years of experience, specific technical expertise, and the requirements of the individual role. We encourage you to focus on demonstrating the full scope of your skills to ensure your value is clearly understood during the assessment process.