Data Engineer

Kwik Trip, Inc. operates Kwik Trip, Kwik Star, Tobacco Outlet Plus Grocery, and Stop-N-Go Stores in Wisconsin, Minnesota, Iowa, Michigan, South Dakota, and Illinois with over 30,000+ coworkers’ company wide.

Kwik Trip, Inc.’s Information Technology Department is seeking a full-time Data Engineer. This position is a functional contributor to several data projects and initiatives at Kwik Trip.

Position Overview: We are looking for a Data Engineer to join our IT Data Engineering team. The ideal candidate will have a background in Snowflake, Databricks, data warehousing, and Data Engineering best practices. As a Data Engineering, you will play a crucial role in designing, implementing, and optimizing our data infrastructure to support the data-driven initiatives of the business at Kwik Trip.

Responsibilities include but are not limited to:

• Research, design, build, optimize and maintain reliable, efficient, and scalable data pipelines, data models, and data products.
• Efficiently replicate data from source systems, curate data according to business standards, model data for downstream consumption by reporting tools and other data driven use cases.
• Collaborate with business stakeholders to optimize data collection, storage, and understand business use cases to maximize the value of information within supported systems.
• Translate business needs into robust data engineering solutions.
• Collaborate with data engineering team on best practices, infrastructure optimization, performance and cost optimization, pipeline monitoring, tool and library evaluation, quality assurance, and documentation.

Qualifications:

• Bachelor’s degree in computer science, Information Technology, or a related field, or equivalent practical experience.
• Expertise in SQL and Python.
• Experience with Snowflake and Databricks platforms.
• Strong understanding of data frames, Pandas, PySpark, SQL, dbt, Airflow/Astronomer, Azure Data Factory.
• Understanding of database architecture; experience with MS SQL, DB2, SAP Hana, and MySql a plus.
• Familiarity with cloud architecture, Azure Cloud Services, streaming APIs, RESTful APIs.
• Understanding of container development, Docker, and container orchestration.
• Experience developing, monitoring, maintaining and error handling with data pipelines.
• Ability to use and complex query statements and advanced database tools, as well as working with data at scale.
• Experience with git, source code version control, and release management.
• Familiarity with machine learning concepts, feature engineering, modeling, and training strategies.
• Understanding of data governance and compliance.

If you are passionate about data engineering, possess the required skills, and are eager to contribute to a dynamic and growing organization, we would love to hear from you!