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Computer Science Engineering Jobs in Wisconsin (NOW HIRING)

Conch Technologies Inc

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field. * 8-10+ years of Data Engineering experience. * 3+ years in a Lead, Principal, or Senior Data Engineering ...

Continuus Technologies LLC

Senior Data Engineer

Germantown, WI · On-site

$107K - $146K/yr

... in Computer Science, Engineering, or related field (or equivalent experience)5+ years of experience in data engineering or related rolesAdvanced SQL and strong proficiency in Python (or similar ...

Soteria Reinsurance Ltd.

WI · On-site

$123K - $165K/yr

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a ...

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Computer Science Engineering information

What is computer science engineering?

Computer Science Engineering (CSE) is a branch of engineering that integrates computer science and engineering principles to design, develop, and maintain software and hardware systems. CSE professionals work on a wide range of technologies, including programming, algorithms, computer networks, databases, artificial intelligence, and cybersecurity. The field prepares graduates for careers in software development, systems analysis, data science, and more. It is one of the most in-demand disciplines due to the increasing reliance on technology across industries.

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

To thrive as a Computer Science Engineer, you need strong programming skills, a solid grasp of algorithms, data structures, and systems design, typically backed by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, version control systems such as Git, and certifications like AWS Certified Solutions Architect or CompTIA Security+ are often valuable. Analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills in this role. These competencies are essential for developing robust software solutions, adapting to emerging technologies, and collaborating efficiently in dynamic engineering environments.

What are some common challenges faced by computer science engineers in collaborative projects, and how can they be addressed?

Computer Science Engineers often work on multidisciplinary teams where communication gaps, differing technical backgrounds, and unclear project requirements can pose challenges. To address these, effective documentation, regular cross-functional meetings, and utilizing collaborative tools (like version control and project management platforms) are essential. Building strong communication skills and fostering a culture of open feedback help ensure everyone stays aligned and project goals are met efficiently.

What is the difference between Computer Science Engineering vs Software Developer?

AspectComputer Science EngineeringSoftware Developer
Required CredentialsBachelor's in Computer Science or related field; sometimes certificationsBachelor's in Computer Science, Software Engineering, or related; certifications optional
Work EnvironmentUniversities, research labs, tech companies, R&D centersTech companies, startups, freelance projects, corporate IT teams
Industry UsageAcademic, research, product development, software designApplication development, coding, testing, deployment
Common Search/ComparisonFocuses on theoretical and foundational knowledgeFocuses on practical coding and project implementation

Computer Science Engineering and Software Developer roles overlap in skills and industry usage, but differ mainly in focus. Computer Science Engineering emphasizes theoretical foundations and research, while Software Developers concentrate on coding and building applications. Both roles are vital in tech industries, with CS Engineering often leading to research or academic careers, and Software Developers working on practical software solutions.

What can a computer science engineer do?

A computer science engineer designs, develops, and maintains software systems, applications, and algorithms. They work with programming languages, data structures, and computer hardware, often collaborating in teams and using tools like integrated development environments (IDEs). Their roles can include software development, system analysis, cybersecurity, and technical support.

What are popular job titles related to Computer Science Engineering jobs in Wisconsin?

For Computer Science Engineering jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Computer Science Engineering jobs in Wisconsin look for?

The top searched job categories for Computer Science Engineering jobs in Wisconsin are:

Computer Science Engineering jobs near you
Infographic showing various Computer Science Engineering job openings in Wisconsin as of September 2026, with employment types broken down into 2% Internship, 87% Full Time, 8% Part Time, and 3% Contract. Highlights an 81% In-person, 5% Hybrid, and 14% Remote job distribution.

Lead Data Engineer

Madison, WI • On-site

Conch Technologies Inc
IT Services • 51 - 200 employees
Learn more about Conch Technologies Incexternal

$115K - $138K/yr

Contractor

Posted 5 days ago

Job description

Hello,
 
Position: Lead Data Engineer
Location: Madison, WI (Hybrid)
Duration: 6+months C2H (Contract to Hire)
 
Job Description:
  • Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field.
  • 8-10+ years of Data Engineering experience.
  • 3+ years in a Lead, Principal, or Senior Data Engineering capacity.
  • Expert-level proficiency with Python for data engineering and data processing.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Extensive experience with:
    • BigQuery
    • Dataflow
    • Dataproc / PySpark
    • Cloud Composer (Airflow)
    • Pub/Sub
    • Cloud Storage
  • Strong SQL development and data modeling experience.
  • Experience building enterprise-scale ETL/ELT pipelines.
  • Experience working with large-volume datasets and performance optimization.
  • Knowledge of CI/CD, Git, DevOps practices, and automated deployment frameworks.
  • Strong communication and stakeholder management skills.
  • Ability to work independently and lead technical initiatives from concept through production.

Preferred Qualifications

  • Experience with Snowflake, Databricks, or modern lakehouse architectures.
  • Experience enabling AI/ML workloads and feature engineering pipelines.
  • Knowledge of data governance, data quality frameworks, and regulatory compliance requirements.
  • Experience working within large enterprise Agile environments.
 
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Thanks & Regards,
Jeeva K (Sr Technical Recruiter)
jeeva@conchtech.com| 901-466-4709
Conch Technologies, Inc | www.conchtech.com