Data Engineer

ALLIANCE LAUNDRY SYSTEMS • Ripon, WI • 21h ago

JOB REQUIREMENTS: Alliance Laundry System LLC Data Engineer US-- Job ID: 2026-12698 # of Openings: 1 Category: Information Technology Remote-USA Overview 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. Responsibilities Ingestion & Transformation Build and maintain scalable data pipelines using Python, dbt, and Snowflake-native tooling (Tasks/Streams), deployed on AWS (S3, Airflow, ECS). Assist in migrating existing Dataiku pipelines into Snowflake to simplify architecture and improve efficiency. Continuously improve workflows for performance, reliability, and maintainability. Semantic Modeling & Views 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. Governance & Security 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. Analytics Enablement 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. Continuous Improvement 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. Qualifications Education & Experience: 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. Required Skills & Experience Snowflake expertise: SQL, Tasks/Streams, and performance Cloud experience: Hands-on with AWS (S3, VPC, IAM, Airflow, ECS; Lambda a plus). Data modeling: Familiar with dimensional modeling, database design, and semantic layer design. ETL/ELT engineering: Experience building and optimizing data pipelines, including hands-on work with dbt for transformations. Governance & Security: Understanding of AD/LDAP integration, RBAC, and data cataloging. Programming: Proficient in SQL and Python. AI fluency: Demonstrated experience using AI tools and LLMs in day-to-day engineering work (prompting, code generation, workflow automation). Candidates should expect this to be a major focus of the interview. Strong problem-solving skills and a desire to learn emerging data technologies. Preferred Skills Experience supporting Power BI to Sigma migrations or similar modern BI transitions. PI286280360 *** APPLICATION INSTRUCTIONS: Apply Online: https://www.click2apply.net/1goOjbTAXWXD4fgExF6PPj Qualified females, minorities, and special disabled veterans and other veterans are encouraged to apply.

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