Databricks Data Engineer
Core
Build, enhance, and maintain reliable data pipelines and structured data layers within a modern cloud-based data platform to support reporting and analytics.
Role type
Data Engineer
Builds
Scalable data pipelines, trusted datasets, and structured data layers (Bronze, Silver, Gold)
Domain
Cloud data engineering, data platform modernization
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Databricks, Apache Spark, SQL, Python or Scala, data ingestion and integration, data reliability controls, cloud data services (Azure, AWS, GCP)
Preferred skills
Lakehouse technologies, workflow scheduling, reporting platforms
Technologies
Databricks, Apache Spark, SQL, Python, Scala, Azure, AWS, GCP
Responsibilities
Build and maintain data pipelines; develop structured data layers; extract and integrate data from APIs and databases; monitor workflows and troubleshoot failures; create clean datasets for BI teams; maintain technical documentation; support secure data use; identify process improvements
Seniority
Mid-level, hands-on IC
