ZipRecruiter

Log In

Databricks
Databricks

60 Databricks Performance Engineer Jobs Hiring Near You

Databricks

Sr. Product Manager, Databricks Repos

Seattle, WA · On-site

$148.80K - $204.53K/yr

Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical ... Compliance If access to export-controlled technology or source code is required for performance of ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$148.80K - $204.53K/yr

Partner with world-class engineering and research teams to transform cutting-edge AI advancements ... Compliance If access to export-controlled technology or source code is required for performance of ...

Databricks

Staff Database Engineer

Mountain View, CA · On-site

$192K - $260K/yr

P-1700 At Databricks, we are passionate about enabling data teams to solve the world's toughest ... A passion for database systems and application performance tuning * Experience building and ...

Databricks

Staff Database Engineer

Bellevue, WA · On-site

$182K - $247K/yr

P-1700 At Databricks, we are passionate about enabling data teams to solve the world's toughest ... A passion for database systems and application performance tuning * Experience building and ...

Databricks

Sr. Machine Learning Engineer

San Francisco, CA · On-site

$164.20K - $205.20K/yr

... performance of Databricks' products and services (e.g., Databricks Assistant and AI/BI Genie ... Design and implement ML pipelines for data preprocessing, feature engineering, model training ...

Databricks

Staff Partner Engineer, Azure

New York, NY · On-site

$150.20K - $206.45K/yr

Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface ... performance bonus, equity, and the benefits listed above. For more information regarding which ...

previous pagenext page

Showing results 21-40

All JobsDatabricks JobsDatabricks Performance Engineer Jobs

Databricks Jobs Information

What are the key skills and qualifications needed to thrive as a Performance Engineer, and why are they important?

To thrive as a Performance Engineer, you need strong analytical abilities, a solid understanding of software architecture, and experience with load testing and profiling, often supported by a degree in computer science or a related field. Familiarity with tools such as JMeter, LoadRunner, New Relic, and monitoring systems, as well as scripting languages, is typically required. Excellent problem-solving, attention to detail, and effective communication skills help distinguish top performers in this role. These skills and qualities are crucial for identifying system bottlenecks, optimizing performance, and ensuring a seamless user experience.

What are some common challenges Performance Engineers face when optimizing complex systems?

Performance Engineers often encounter challenges such as identifying bottlenecks in multi-tiered or distributed systems, balancing trade-offs between speed and resource consumption, and ensuring that performance improvements do not compromise system reliability. They frequently work with cross-functional teams, requiring strong communication skills to translate technical findings into actionable recommendations. Staying up-to-date with evolving tools and best practices is also essential, as technology stacks and performance benchmarks continually change.

What is a Performance Engineer?

A Performance Engineer is a professional who ensures that software applications and systems run efficiently and meet performance requirements. They analyze, test, and optimize system performance by identifying bottlenecks, conducting load and stress testing, and recommending improvements. Performance Engineers work closely with development and operations teams to ensure that applications can handle expected user loads and deliver a smooth user experience. Their work is crucial in preventing slowdowns, crashes, and other performance-related issues in production environments.

What is the difference between Performance Engineer vs Software Test Engineer?

AspectPerformance EngineerSoftware Test Engineer
Primary FocusOptimizing system performance, load testing, scalabilityFunctional testing, bug identification, feature validation
Required SkillsPerformance testing tools, scripting, system analysisTest case design, automation, defect tracking
Work EnvironmentDevelopment teams, QA, DevOpsQA teams, development teams
CertificationsPerformance testing certifications (e.g., JMeter, LoadRunner)ISTQB, software testing certifications

Performance Engineers focus on system performance, scalability, and load testing, ensuring applications run efficiently under stress. Software Test Engineers primarily verify functionality and identify bugs. While both roles require testing skills, Performance Engineers specialize in performance metrics and optimization, making their roles complementary but distinct.

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 May 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, and 6% Remote job distribution.
Sr. Product Manager, Databricks Repos

Sr. Product Manager, Databricks Repos

Databricks

Seattle, WA • On-site

$148.80K - $204.53K/yr

Full-time

Posted 25 days ago

Job description

RDQ427R130
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 tackle 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.
More about the team:
A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments.
We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform.
You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production.
The impact you will have:
  • You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD.
  • You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.
  • You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation.
  • You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.
  • You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.
  • You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.
  • You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.

What we look for:
  • 5+ years of experience as a Product Manager working on platform products
  • Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users
  • Experience being a hands-on builder, must be comfortable using our own developer-facing products.
  • Passion for designing products that simplify user experience of technically complex products.

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 2 Pay Range
$148,800-$204,525 USD
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.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Apply