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# Data Engineer

- **Company:** Alliance Laundry Systems
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Query Performance, Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Data Analysis, Business Intelligence Development, Cloud Computing, Code Generation, Computer Programming, Information Engineering, Data Governance, Extract Transform Load (ETL), Database Design, Dimensional Modeling, Identity and Access Management, Python (Programming Language), Lightweight Directory Access Protocols (LDAP), Meta-Data Management, Role-Based Access Control, Power BI, Software Tools, Standard Sql, Large Language Models, Snowflake, Amazon Virtual Private Cloud (VPC), Information Technology, Data Pipelines
- **Published:** August 6, 2026
- **Apply:** https://uscareeropenings-alliancelaundry.icims.com/jobs/12698/data-engineer/job?mode=apply&apply=yes&in_iframe=1&hashed=-336176173

## About the Role

* 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, 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.

## Description

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.


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