Data Engineer

Data Engineer

Alliance Laundry System LLC is looking for a Data Engineer to help design, build, and operate the next-generation analytics stack centered on Snowflake (AWS) and Sigma. 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 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.
• 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, 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.
• Preferred Skills: 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.

Travel: Approximately 10%

Standard and Physical Requirements: Position involves sitting for long periods, standing, manual dexterity, stooping, bending and minimal lifting. Alliance Team Members Demonstrate DRIVE: Dedicated: Follows through on commitments. Strong say/do. Respectful: Acts with integrity and values diverse perspective. Innovative: Always looking for a better way; leads change. Versatile: Adapts quickly to changing circumstances. Demonstrates agility. Engaged: Acts like an owner. Wants to create and grow a business which is tightly aligned with market needs.