**The Data Engineer (Data Operations** ) is responsible for building, maintaining, and optimizing downstream data pipelines and analytics-ready datasets that power business intelligence and reporting. This role focuses on data troubleshooting, transformation, and delivery, ensuring that upstream data is validated and converted into reliable, curated data sources for BI and analytics teams. The individual will work hands-on with Snowflake, SQL, and Python to develop data models, resolve data issues, and support production data operations, enabling the BI team to efficiently consume high-quality data through their visualization tools. Experience with R is a plus, as we transition from R into new technologies.

**Ess** **ential Functions**

+ Build andmaintaincurated data layers and data sources

+ Develop and optimize SQL- and Python-based transformations in Snowflake

+ Troubleshoot data quality issues originating from upstream pipelines, including ident...