Alliance Laundry

Data Engineer

Alliance Laundry • $110K — $130K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's or Master's in Computer Science, Data Engineering, or related field.
  • At least 5 years of experience in Data Engineering or similar.
  • Expertise in Snowflake including SQL, Tasks/Streams, and performance tuning.
  • Hands-on experience with AWS services (S3, Airflow, ECS; Lambda is a plus).
  • Familiarity with dimensional modeling and database design.
  • Experience in building ETL/ELT pipelines with dbt.
  • Understanding of data governance, security measures, and RBAC.
  • Proficient in SQL and Python programming.

Responsibilities

  • Build and maintain scalable data pipelines using Python and Snowflake-native tools on AWS.
  • Migrate existing Dataiku pipelines to Snowflake for improved architecture efficiency.
  • Continuously enhance data workflows for performance and reliability.
  • Develop and maintain Snowflake semantic views for reporting needs.
  • Apply best practices in data modeling for business domain consistency.
  • Implement data access controls aligned with enterprise RBAC frameworks.
  • Deliver clean and governed data sets for analytics in Sigma dashboards.

Benefits

  • Opportunity to work with cutting-edge technologies like Snowflake and AWS.
  • Collaborative culture within the Enterprise Analytics Center of Excellence.
  • Focus on continuous learning and professional development.
  • Involvement in migrating to modern BI tools such as Sigma.
Full Job Description
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.


ID

2026-12698

Pos. Type

Full-Time

About Alliance Laundry

Alliance Laundry Systems LLC is a provider of commercial laundry equipment. The company designs, manufactures, and markets a range of laundry equipment, including washers, dryers, ironers, and other laundry-related products. Its products are used in a variety of industries, including hospitality, healthcare, and commercial laundries. The company was founded in 1908 and is headquartered in Ripon, Wisconsin.
Learn more about Alliance Laundry
Size
5,000 employees
Industry
Manufacturing & Automotive
Founded
1908
* Ladders Estimates

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