Data Engineer

Alliance Laundry System • Ripon, WI

3d

About The Position

Our Enterprise Analytics Center of Excellence (CoE) is building the next-generation analytics stack centered on Snowflake (AWS) and Sigma. We’re looking for a Data Engineer to help design, build, and operate this modern data architecture. This role focuses on developing efficient, governed data pipelines and enabling analytics teams across the business to access reliable, high-quality data.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• At least 5 years of experience as a Data Engineer or in a similar role.
• Snowflake expertise: SQL, OpenFlow, Tasks/Streams, and performance optimization.
• Cloud experience: Hands-on with AWS (S3, IAM, Glue, Lambda a plus).
• Data modeling: Familiar with dimensional modeling and semantic layer design.
• ETL/ELT engineering: Experience building and optimizing data pipelines.
• Governance & Security: Understanding of AD/LDAP integration, RBAC, and data cataloging.
• Programming: Proficient in SQL and Python.
• Strong problem-solving skills and a desire to learn emerging data technologies.

Nice To Haves

• Experience supporting Power BI to Sigma migrations or similar modern BI transitions.
• Familiarity with Sigma features such as Ask Sigma, Write-Back, or Embedded Analytics.
• Exposure to Dataiku or similar ETL platforms.
• Interest in modern data practices such as AI-assisted analytics or NLP-based BI tools.

Responsibilities

• Build and maintain scalable data pipelines using Snowflake OpenFlow and related Snowflake-native tools.
• Assist in migrating existing Dataiku pipelines into Snowflake to simplify architecture and improve efficiency.
• Continuously improve workflows for performance, reliability, and maintainability.
• Develop and maintain Snowflake semantic views that support analytics and reporting needs.
• Apply data modeling best practices to ensure consistency across business domains.
• Support creation of governed, role-based semantic layers for Finance, Operations, and other enterprise areas.
• Implement data access controls aligned with enterprise RBAC frameworks.
• Support metadata management and cataloging for visibility in Sigma.
• Ensure pipelines and models meet enterprise data governance standards.
• Deliver clean, governed data sets for Sigma dashboards and embedded analytics use cases.
• Monitor and optimize query performance to balance cost and speed.
• Partner with analysts and BI developers to ensure data is reliable and ready for consumption.
• Stay current with Snowflake and Sigma feature updates.
• Recommend improvements to data engineering processes and automation where possible.
• Contribute to a culture of learning and collaboration within the CoE.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees