🛠 Tech Stack

💼 About This Role

You'll own the dbt transformation layer for a modern data stack at an industrial electrical manufacturer. Your work turns raw Snowflake data into clean, business-ready datasets that power Tableau dashboards and self-service analytics across Finance, Production, Supply Chain, and Engineering. This role offers a clear path into senior and principal analytics engineering as the team grows.

🎯 What You'll Do

• Design and build **dbt** models for Finance, Production, Supply Chain, and Engineering
• Build conformed dimensions and fact tables for Tableau and ad-hoc analysis
• Author and maintain **dbt tests**, monitor data quality, and resolve issues
• Partner with cross-functional stakeholders to translate needs into scalable models

📋 Requirements

• 4-6 years in analytics engineering, data engineering, or BI development
• Strong SQL skills with experience in data transformation and optimization
• Hands-on experience with dbt including incremental models, tests, and documentation
• Experience with Snowflake or a comparable cloud data warehouse

✨ Nice to Have

• Experience with manufacturing or ERP platforms like Infor, SAP, Oracle
• Familiarity with semantic layers or data cataloging tools

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min