Data Engineer

Already a Kwik Trip Coworker?  Follow this link to apply:  myapps.kwiktrip.com 
Location: Department 671 
Shift: Daytime
Experience: 2+ years
Full 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 and Spark based data engineering
• Experience with ELT/ETL tools like SSIS, ADF, Apache Spark Delta Live tables
• Familiarity with Databricks, Snowflake, Terraform 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