Job Description
📋 Description Own Databricks pipelines for Sugar Predict data platform Monitor production reliability, incident response, and cost efficiency Collaborate with ML engineers, product teams, and Enterprise Architecture Optimize data delivery across ERP and CRM data flows Support cross-cloud data access and multi-tenant considerations Contribute to data quality and observability initiatives 🎯 Requirements 3+ years in data engineering with Databricks/Spark experience Proficiency with PySpark, SQL, and Python Experience with Delta Lake, ACID transactions, and schema management Strong PostgreSQL knowledge for production pipelines Cloud experience (Azure and AWS) and data governance awareness Ability to work in a hybrid Denver, CO environment 🎁 Benefits Healthcare and 401(k) match Paid time off and parental leave On-site interview and hybrid work arrangement
