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Data Engineer Jobs in La Crosse, WI (NOW HIRING)

Trane Technologies plc

Engineer

La Crosse, WI · On-site

Perform engineering analyses to evaluate performance, durability, and feasibility of proposed ... Analyze test data to assess design performance and recommend improvements or next steps. * Prepare ...

Nelson Global Products, Inc

Quality Engineer

Viroqua, WI

$65K - $84K/yr

Nelson Global engineers, manufactures, and distributes clean and efficient Air & Fluid Transfer ... Support COPQ reduction activities through data analysis and improvement initiatives. * Establish ...

Nelson Global Products

Quality Engineer

Viroqua, WI · On-site

$65K - $84K/yr

Nelson Global engineers, manufactures, and distributes clean and efficient Air & Fluid Transfer ... Support COPQ reduction activities through data analysis and improvement initiatives. * Establish ...

XeteX

Quality Engineer

Mindoro, WI

$66K - $86K/yr

Validate corrective actions and process changes through inspection, testing, and data analysis. Problem Solving & Corrective Action * Investigate manufacturing and engineering quality issues and ...

XeteX

Quality Engineer

Onalaska, WI

$66K - $86K/yr

Validate corrective actions and process changes through inspection, testing, and data analysis. Problem Solving & Corrective Action * Investigate manufacturing and engineering quality issues and ...

XeteX

Quality Engineer

La Crosse, WI

$70K - $91K/yr

Validate corrective actions and process changes through inspection, testing, and data analysis. Problem Solving & Corrective Action * Investigate manufacturing and engineering quality issues and ...

XeteX

Quality Engineer

Holmen, WI

$67K - $86K/yr

Validate corrective actions and process changes through inspection, testing, and data analysis. Problem Solving & Corrective Action * Investigate manufacturing and engineering quality issues and ...

XeteX

Quality Engineer

Trempealeau, WI

$69K - $90K/yr

Validate corrective actions and process changes through inspection, testing, and data analysis. Problem Solving & Corrective Action * Investigate manufacturing and engineering quality issues and ...

XeteX

Quality Engineer

West Salem, WI

$70K - $91K/yr

Validate corrective actions and process changes through inspection, testing, and data analysis. Problem Solving & Corrective Action * Investigate manufacturing and engineering quality issues and ...

XeteX

Quality Engineer

La Crosse, WI

$66K - $86K/yr

Validate corrective actions and process changes through inspection, testing, and data analysis. Problem Solving & Corrective Action * Investigate manufacturing and engineering quality issues and ...

XeteX

Quality Engineer

Galesville, WI

$65K - $84K/yr

Validate corrective actions and process changes through inspection, testing, and data analysis. Problem Solving & Corrective Action * Investigate manufacturing and engineering quality issues and ...

XETEX LLC

Quality Engineer

Holmen, WI · On-site

$67K - $86K/yr

Validate corrective actions and process changes through inspection, testing, and data analysis. Problem Solving & Corrective Action Investigate manufacturing and engineering quality issues and ...

Trane Technologies

Engineer

La Crosse, WI

Perform engineering analyses to evaluate performance, durability, and feasibility of proposed ... Analyze test data to assess design performance and recommend improvements or next steps. * Prepare ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in La Crosse, WI

Data Engineer information

See La Crosse, WI salary details

$43.7K

$127.3K

$174.3K

How much do data engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data engineer in La Crosse, WI is $127,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $135,000.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are popular job titles related to Data Engineer jobs in La Crosse, WI? For Data Engineer jobs in La Crosse, WI, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in La Crosse, WI look for? The top searched job categories for Data Engineer jobs in La Crosse, WI are:
What cities near La Crosse, WI are hiring for Data Engineer jobs? Cities near La Crosse, WI with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in La Crosse, WI as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $127,345 per year, or $61.2 per hour.

Data Engineer (SQL, Python, Databricks)

Kwik Trip, Inc.

La Crosse, WI • On-site

$85K - $128K/yr

Full-time

Medical, Retirement, PTO

Posted 4 days ago

Kwik Trip rating

7.1

Company rating: 7.1 out of 10

Based on 856 frontline employees who took The Breakroom Quiz

2nd of 46 rated convenience stores

Job description

Already a Kwik Trip Coworker? Follow this link to apply: myapps.kwiktrip.com
Location: Department 671
Shift: Daytime
Experience: 2+ years
Pay Range: $85,633.60 to $128,450.14
Actual pay will be based on various factors, such as a candidate's qualifications, skills, competencies, proficiency for the role, and internal equity. In addition to base pay, Kwik Trip gives 40% of pre-tax profits back to our coworkers with bonuses ranging from 8-12% of each coworker's gross annual wage depending on company profitability and offers a comprehensive benefits package, including health insurance, 401k, paid time off, and more.
*This position is not eligible for sponsorship.
Department: Information Technology
Location: La Crosse Support Center | Onsite
Job Type: Full-time
About the Role
Kwik Trip's Data Engineering team is growing! We're looking for a Data Engineer II who thrives on solving complex data challenges and building scalable infrastructure. If you're passionate about transforming raw data into actionable insights and enjoy working in a collaborative, fast-paced environment, we want to hear from you.
What You'll Do
  • Build, test, and maintain robust data pipelines and architectures
  • Develop real-time integrations and troubleshoot data infrastructure issues
  • Evaluate and implement emerging data technologies
  • Create and maintain technical documentation and data flow diagrams
  • Collaborate with cross-functional teams to support business initiatives
  • Analyze data for trends, anomalies, and optimization opportunities
  • Support data transformation, metadata management, and workload orchestration

What You'll Bring
  • 2-5 years of experience as a Data Engineer
  • Bachelor's degree in Information Systems, Computer Science, or related field
  • Advanced SQL skills and experience with relational and big data databases
  • Proficiency in Python, Scala, or R
  • Experience with ETL tools (Informatica, SSIS, Talend)
  • Familiarity with Databricks, Snowflake, and stream processing technologies
  • Strong analytical and problem-solving skills
  • Ability to work independently and in team settings
  • Excellent communication skills

Bonus Points
  • Experience with natural language processing or statistical modeling
  • Familiarity with Agile methodologies and source control best practices

Work Schedule: Monday-Friday, standard business hours
Kwik Trip, Inc. is a family-owned, Midwest company, in operation since 1965. We are dedicated to serving our guests and coworkers while treating everyone like family. Along with our award-winning culture, we are proud to be an Equal Opportunity Employer. Learn more about Kwik Trip and our culture.
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