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Remote Computer Science Jobs in Racine, WI (NOW HIRING)

Simulation Engineer

Wauwatosa, WI · On-site +1

$65K - $140K/yr

... and remote flexibility. You'll help design the future of warehouse automation by developing ... Bachelor's degree or Master's degree or equivalent experience in Engineering, Computer Science ...

Simulation Engineer

Wauwatosa, WI · On-site +1

$65K - $140K/yr

... and remote flexibility. You'll help design the future of warehouse automation by developing ... Bachelor's degree or Master's degree or equivalent experience in Engineering, Computer Science ...

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

... fully remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and ... Bachelor's degree in Computer Science, Information Systems, or similar technology-related field ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... Basic computer skills and familiarity with digital tools * Reliable internet connection and access ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... Basic computer skills and familiarity with digital tools * Reliable internet connection and access ...

Ability to multi-task - IE navigate several computer screens while having a discussion with ... Bachelor's Degree in Arts/Sciences (BA/BS) preferred Experience Qualifications * 0-2 years Medicare ...

Showing results 41-60

Remote Computer Science information

See Racine, WI salary details

$21.3K

$81.2K

$177.2K

How much do remote computer science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote computer science in Racine, WI is $81,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,154.00 and $116,210.00 per year, depending on experience, location, and employer.

What are remote computer science jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.

What are the key skills and qualifications needed to thrive as a remote computer science professional?

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

What are remote computer science jobs?

Remote computer science jobs are positions that involve the application of computer science principles—such as programming, software development, data analysis, and cybersecurity—that can be performed from any location with internet access. These roles often include software engineer, web developer, data scientist, system administrator, and more. Remote computer science professionals collaborate with teams virtually, using digital communication and project management tools. This flexibility allows employees to work from home or anywhere in the world, offering a better work-life balance and access to global job opportunities.
What are the most commonly searched types of Computer Science jobs in Racine, WI? The most popular types of Computer Science jobs in Racine, WI are:
What job categories do people searching Remote Computer Science jobs in Racine, WI look for? The top searched job categories for Remote Computer Science jobs in Racine, WI are:
What cities near Racine, WI are hiring for Remote Computer Science jobs? Cities near Racine, WI with the most Remote Computer Science job openings:
Infographic showing various Remote Computer Science job openings in Racine, WI as of August 2026, with employment types broken down into 5% Internship, 59% Full Time, 14% Part Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,184 per year, or $39 per hour.

Simulation Engineer

Kiongroup

Wauwatosa, WI • On-site, Remote

$65K - $140K/yr

Full-time

Re-posted 3 days ago


Job description

Dematic is seeking a Simulation Engineer to join our team in Grand Rapids, MI; Atlanta, GA; Plano, TX; or Milwaukee, WI, with a hybrid work schedule that combines on-site collaboration and remote flexibility.
You'll help design the future of warehouse automation by developing discrete-event simulation models that validate automated material handling concepts before implementation. Partnering with Solution Engineers, Project Managers, Sales teams, and customers, you'll evaluate system performance, analyze operational data, and provide insights that drive solution design and customer decisions.
You'll use simulation and 3D modeling tools, including AutoMod, to assess and optimize automated systems. You'll conduct simulation experiments, interpret results, and clearly communicate recommendations to both technical and non-technical audiences.
The ideal candidate has experience with simulation modeling, strong analytical and statistical skills, and proficiency in Python or another structured programming language. Experience with material handling, logistics, warehouse automation, AutoMod, Plant Simulation, or similar tools is highly valued.
If you enjoy solving complex problems, working with data, and helping bring innovative automation solutions to life, we'd love to hear from you.
We are unable to support Visa sponsorship or transfer for this role.We offer:What We Offer:
  • Career Development

  • Competitive Compensation and Benefits

  • Pay Transparency

  • Global Opportunities


Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer/
Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The base pay range for this role is estimated to be $65,000 - $140,000 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.

Tasks and Qualifications:What You Will Do in This Role:
  • Develop discrete-event simulation models to evaluate the performance of material-handling and automated systems.

  • Support pre-sales and delivery activities by crafting low- to high-fidelity simulation models and conducting performance analysis.

  • Collaborate with engineering, sales, project management, and other partners to define requirements, scope, and timelines.

  • Collect, validate, and analyze data while detailing model assumptions and functional specifications.

  • Configure, complete, and lead simulation scenarios, experiments, and statistical runs.

  • Interpret simulation outputs and clearly communicate results to internal teams and customers.

  • Contribute to customer-facing presentations and technical reviews to support solution recommendations.

  • Deliver assigned tasks on schedule, meeting quality and budget expectations.

  • Explain technical concepts in a clear and accessible way for both technical and non-technical audiences.

  • Exercise good judgment when working with customer, confidential, or proprietary information.

  • Support continuous improvement of simulation tools, standards, processes, and methodologies.

What We're Looking For:
  • Solid understanding of discrete-event simulation concepts, methods, and standard processes.

  • Ability to apply statistical and quantitative analysis to simulation problems.

  • Experience with material-handling systems, logistics, or automated solutions (preferred).

  • Proficiency in at least one structured programming language (e.g., Python).

  • Experience with simulation tools such as Plant Simulation (AutoMod experience is a plus).

  • Familiarity with AutoCAD or 3D modeling tools is helpful.

  • Demonstrated ability to learn new tools, technologies, and methods.

  • Strong understanding of simulation modeling principles and approaches.

  • Bachelor's degree or Master's degree or equivalent experience in Engineering, Computer Science, Operations Research, Industrial Engineering, or a related technical field.

  • Proven experience in simulation model development, system modeling, or performance analysis.

  • Typical experience range: 2-5+ years, depending on role level and validated capability.

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