Staff Software Engineer - Distributed Data Systems

Cacheflow; San Francisco (CA); On-site; USD 192,000 - 260,000; Full time

Job summary

A leading data and AI company in San Francisco is looking for an experienced software engineer to develop big data frameworks. The role requires over 8 years of production level experience in Java, Scala, or C++. Candidates should have a strong background in algorithms, data structures, and distributed systems. This position offers a competitive salary range of $192,000 — $260,000 USD.

Qualifications

• 8+ years of production level experience in either Java, Scala or C++.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Driven by delivering customer value and impact.

Responsibilities

• Develop the de facto open source standard framework for big data.
• Deliver reliable and high performance services for cloud storage.
• Build the next generation query optimizer and execution engine.

Skills

Production level experience in Java, Scala or C++

Strong foundation in algorithms and data structures

Experience with distributed systems

Experience with databases

Experience with big data systems

Education

BS in Computer Science or related technical field

MS or PhD in databases, distributed systems

Job description

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.

What we look for

• BS in Computer Science, related technical field or equivalent practical experience.
• Optional: MS or PhD in databases, distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Driven by delivering customer value and impact.
• 8+ years of production level experience in either Java, Scala or C++.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop).

Projects

• Apache Spark™: Develop the de facto open source standard framework for big data.
• Data Plane Storage: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture.
• Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines.
• Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust.

Pay Range

Pay Range: $192,000 — $260,000 USD

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance