This role sits within the data engineering and analytics function that provides engineering guardrails, reusable patterns, and integration support as multiple teams modernize data pipelines and connect data platforms into AI use cases.
Responsibilities
Build and support data pipelines and transformations for structured data (and some unstructured/document data use cases)
Develop and maintain solutions in Databricks (core platform for engineering work)
Use dbt to model, transform, and document datasets
Work in Azure Cloud services to deploy, integrate, and operate data solutions
Partner with downstream teams to provide standards/guidelines and enable integration into AI initiatives
What We’re Looking For (Top Skills)
Strong hands-on experience with Databricks
Experience with dbt (data transformations/modeling)
Working knowledge of Azure Cloud
Bonus: experience with unstructured data and document processing
Nice to have: familiarity with AI technologies and how data supports AI/ML workflows
What happens after you apply
A recruiter reviews your application within two business days. If your experience and rate line up, we call you before submitting you anywhere — your profile is never sent to a client without your say-so.