Data Engineer II: Real-Time Pipelines (SQL, Python, Databricks)

Kwik Trip, Inc.; La Crosse (WI); On-site; USD 86,000 - 128,000; Full time

Benefits offered by this job

Health insurance

401k

Paid time off

Job summary

Kwik Trip, Inc. in Wisconsin is hiring a Data Engineer II to join the Data Engineering team at the La Crosse Support Center.

You will build and maintain data pipelines, implement real-time integrations, and optimize data architectures to turn raw data into actionable insights. You have 2–5 years of data engineering experience, a BS in IS/CS, strong SQL, and proficiency in Python/Scala/R, with experience in ETL tools and platforms like Databricks and Snowflake.

Qualifications

• 2–5 years of data engineering experience.
• 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.

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

Data analysis

Communication

ETL tooling

Education

Bachelor's degree in Information Systems / Computer Science

Tools

Informatica

SSIS

Talend

Databricks

Snowflake

Job description

Kwik Trip, Inc. in Wisconsin is hiring a Data Engineer II to join the Data Engineering team at the La Crosse Support Center.

You will build and maintain data pipelines, implement real-time integrations, and optimize data architectures to turn raw data into actionable insights. You have 2–5 years of data engineering experience, a BS in IS/CS, strong SQL, and proficiency in Python/Scala/R, with experience in ETL tools and platforms like Databricks and Snowflake.