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60 Databricks Performance Engineer Jobs Hiring Near You

Databricks

Sr. Software Engineer- Backend

New York, NY · On-site

$165K - $219K/yr

P-1591 At Databricks, we are passionate about enabling data and AI teams to solve the world ... Compliance If access to export-controlled technology or source code is required for performance of ...

Databricks

Staff Partner Engineer, Azure

New York, NY · On-site

$150K - $206K/yr

RDQ427R371 At Databricks, we are passionate about enabling data teams to solve the world's toughest ... Compliance If access to export-controlled technology or source code is required for performance of ...

Databricks

Sr Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards. * Mentor and Cultivate: Mentor engineers and subject ...

Databricks

Staff Backend Software Engineer

New York, NY · On-site

$190K - $261K/yr

P-1592 At Databricks, we are passionate about enabling data and AI teams to solve the world ... Compliance If access to export-controlled technology or source code is required for performance of ...

Databricks

Staff Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards. * Mentor and Cultivate: Mentor engineers and subject ...

Databricks

Staff Software Engineer - Streaming

Seattle, WA · On-site

$182K - $247K/yr

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems ... performance optimization * Comfortable working toward a multi-year vision with incremental ...

Databricks

Principal Engineer - Privacy

San Francisco, CA · On-site

$220K - $297K/yr

P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world ... Compliance If access to export-controlled technology or source code is required for performance of ...

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Databricks Jobs Information

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.

What other companies are hiring for Performance Engineer jobs?

What are the most popular jobs at Databricks?

What are the most popular categories at Databricks?

Infographic showing various Performance Engineer job openings at Databricks in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 77% Physical, and 23% Remote job distribution.

Staff Software Engineer - Distributed Data Systems

Bellevue, WA

Databricks
Software Development • 5 - 10K employees
Learn more about Databricksexternal

Full-time

Re-posted 27 days ago

Job description

P-988

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.

Below are some example projects:

Apache Spark: Develop the de facto open source standard framework for big data.

Data Plane Storage: Provide 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.

What we look for:

  • BS (or higher) in Computer Science, related technical field or equivalent practical experience.
  • Comfortable working towards a multi-year vision with incremental deliverables.
  • Motivated 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).

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