Data Engineer

Kwik Trip, Inc.; La Crosse (WI); On-site; USD 85,000 - 105,000; Full time

Job summary

Kwik Trip, Inc. is seeking a Data Engineer II to solve complex data challenges and build scalable infrastructure. You will transform raw data into actionable insights in a collaborative, fast-paced environment.

The role focuses on data pipelines, real-time integrations, and evaluating emerging technologies, with strong SQL and programming skills. Join a cross-functional team to drive business initiatives and data quality.

Qualifications

• 2–5 years of experience as a Data Engineer.
• Bachelor’s degree in Information Systems, Computer Science, or related field.
• Advanced SQL skills 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.

Responsibilities

• 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.

Skills

Advanced SQL

Python

Scala

R

Analytical thinking

Problem-solving

Independent & team work

Education

Bachelor’s degree in Information Systems, Computer Science, or related field

Tools

Informatica

SSIS

Talend

Databricks

Snowflake

Stream processing technologies

Job description

*This position is not eligible for sponsorship.

Department: Information Technology

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

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