Sr. Software Engineer - Data Engineering

P-1343

As a software engineer with a data engineering focus, you will work with your team to drive projects that are centered around data analysis and infrastructure for critical business domains for cost attribution, capacity forecasting and efficiency tracking.

The impact you'll have

Design and implement cost-attribution models and systems by combining your data engineering expertise with a deep technical understanding of the underlying scheduling platforms.

Develop systems that generalize capacity management to ensure flexibility, efficiency, and safety across diverse workloads and environments.

Build systems to automatically maintain the right balance between operational efficiency and safety by monitoring, forecasting, and proactively managing capacity demand across systems.

Build foundational data models, metrics, and telemetry pipelines to track product-wide system reliability and efficiency—providing end-to-end visibility and empowering other teams with actionable insights.

What we look for

BS (or higher) in Computer Science, or a related field.

5+ years of production level experience in one of: Java, Scala, Go, Python - and SQL.

2+ years of professional experience with Data Engineering or Data Science.

Experience developing large-scale distributed systems.

Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of al