Data Engineer
Core
Design, build, and optimize scalable data pipelines on Databricks to power the Fan Intelligence Platform for sports and entertainment clients.
Role type
Data Engineer (Databricks/Azure focus) (via careerplan.io/jobs/8d44d524-cf88-4151-8b96-9a9eafd2eab2-data-engineer-at-two-circles)
Builds
Scalable data pipelines, data lakehouse infrastructure, and data-driven solutions for client analytics
Domain
Sports & Entertainment Marketing / Data Engineering
Required skills
Databricks (Delta Lake, Unity Catalog, PySpark/Spark SQL), Object-oriented Python, Azure (ADF, Function Apps), SQL, CI/CD pipelines, Data lakehouse architecture
Preferred skills
AI-assisted development adoption, Performance tuning, Agile estimation
Technologies
Databricks, Delta Lake, Unity Catalog, Spark, PySpark, Azure Data Factory, Azure Functions, Azure DevOps
Responsibilities
Design and build scalable data pipelines on Databricks; Write clean, testable, object-oriented Python code; Collaborate with product and marketing teams to deliver data-driven insights; Extend into wider Azure data platform and CI/CD practices; Optimize and modernize the Databricks platform
Seniority
Mid-level, hands-on IC