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60 Databricks Quality Assurance Engineer Jobs Hiring Near You

Databricks

Principal Engineer - Privacy

Seattle, WA · On-site

... high-quality solutions • MS or Ph.D. in Computer Science or related fields Company : Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a ...

Databricks

Principal Engineer - Privacy

... high-quality solutions. • MS or Ph.D. in Computer Science or related fields. Company : Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a ...

Databricks

Sr. Staff Partner Engineer

New York, NY · On-site

$174.80K - $240.35K/yr

RDQ427R325 About the Role We're seeking a Senior Staff Partner Engineer to own and evolve the ... quality enforcement. * Technical expert on Databricks product suite and cloud-native architectures ...

Databricks

Principal Engineer - Privacy

Manhattan, NY · On-site

... high-quality solutions. • MS or Ph.D. in Computer Science or related fields. Company : Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a ...

Databricks

Principal Engineer - Privacy

Mountain View, CA · On-site

$278.20K - $339.25K/yr

P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world ... Bias to action and passion for delivering high-quality solutions * MS or Ph.D. in Computer Science ...

Databricks

Principal Engineer - Privacy

San Francisco, CA · On-site

$220.40K - $297.40K/yr

P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world ... Bias to action and passion for delivering high-quality solutions * MS or Ph.D. in Computer Science ...

Databricks

Principal Engineer - Privacy

Seattle, WA · On-site

$220.40K - $297.40K/yr

P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world ... Bias to action and passion for delivering high-quality solutions * MS or Ph.D. in Computer Science ...

Databricks

Principal Engineer - Privacy

New York, NY · On-site

$232K - $313K/yr

P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world ... Bias to action and passion for delivering high-quality solutions * MS or Ph.D. in Computer Science ...

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Databricks Jobs Information

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

To thrive as a Quality Assurance Engineer, you need a solid background in software testing methodologies, debugging, and an understanding of programming concepts, often supported by a degree in computer science or a related field. Familiarity with test automation tools (such as Selenium or JUnit), bug tracking systems, and sometimes certifications like ISTQB are typically required. Strong analytical thinking, attention to detail, and clear communication help ensure thorough testing and effective collaboration with development teams. These skills are essential for delivering high-quality software products, reducing defects, and ensuring customer satisfaction.

How do Quality Assurance Engineers typically collaborate with development teams to ensure product quality?

Quality Assurance Engineers work closely with developers throughout the software development lifecycle, often participating in sprint planning, code reviews, and daily stand-ups. They provide feedback on requirements, help identify potential issues early, and develop test cases that align with user stories. This collaboration ensures that both testing and development teams are aligned on quality standards and timelines, resulting in faster issue resolution and higher-quality releases. Effective communication and a proactive approach are key to building strong partnerships and achieving shared goals.

What are Quality Assurance Engineers?

Quality Assurance Engineers are professionals responsible for ensuring that products, typically software or hardware, meet specified quality standards before they are released to customers. They design and execute tests to identify bugs, verify functionality, and validate performance according to requirements. QA Engineers collaborate closely with development teams to prevent defects, maintain documentation, and improve overall product quality. Their role is crucial in delivering reliable, user-friendly products and minimizing costly errors after release.

What is the difference between Quality Assurance Engineer vs Software Tester?

AspectQuality Assurance EngineerSoftware Tester
Primary FocusDeveloping testing strategies, improving processes, ensuring quality standardsExecuting test cases, identifying bugs, verifying fixes
Required SkillsTesting methodologies, process improvement, communicationTest execution, defect tracking, attention to detail
Work EnvironmentCollaborates with development, product teams, involved in planningPrimarily executes tests, reports issues, often in dedicated testing phases
CertificationsISTQB, CSTE often preferredISTQB, Foundation Level certifications common

While both roles focus on software quality, a Quality Assurance Engineer takes a broader role in process improvement and strategy, whereas a Software Tester primarily executes tests and reports bugs. QA Engineers are involved in planning and ensuring overall quality standards, while Testers focus on verifying specific functionalities.

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 Quality Assurance Engineer jobs?
What are the most popular jobs at Databricks?
What are the most popular categories at Databricks?
Infographic showing various Quality Assurance 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.
Staff Software Engineer - Customer Experience Intelligence (CXI)

Staff Software Engineer - Customer Experience Intelligence (CXI)

Databricks

Mountain View, CA • On-site

$190K - $261.25K/yr

Full-time

Posted 3 days ago

Job description

At Databricks, we're passionate about enabling data teams to solve the world's toughest problems - from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world's best data and AI infrastructure platform so our customers can turn deep data insights into business impact.
Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges - from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As the Staff Technical Lead (TL) for Customer Experience Intelligence, you'll shape the future of how Databricks supports customers at scale. You'll design intelligent, AI-powered systems that make support faster, smarter, and more effortless - turning complexity into clarity for thousands of users.
In this role, you'll have end-to-end ownership of the architecture and technical strategy behind automation and agentic workflows that reduce mean time to mitigate (MTTM), boost quality, and enable our Support organization to scale impact without scaling headcount. You'll work hands-on with teams across Support, Product, and Platform Engineering to build seamless systems that anticipate customer needs before they arise. Leading the technical foundation that transforms how customers experience support - where issues are auto-diagnosed, solutions are delivered instantly, and engineers focus their time on the toughest challenges. Your success will mean customers moving faster, trusting Databricks deeper, and feeling the impact of your systems every day.
The Impact You Will Have:
  • Own the technical vision and architecture for Databricks' Support Automation and Tooling ecosystem
  • Lead hands-on development of automation to improve customer experience and Support scalability
  • Drive rapid, iterative development while upholding quality, safety, and reliability standards
  • Design agentic workflows that evolve from human-in-the-loop to fully automated systems
  • Implement observability, transparency, and rollback mechanisms for AI-driven decisions
  • Act as the primary technical interface between Support, Product, and Platform Engineering to align technical roadmaps and unblock dependencies
  • Set a high engineering bar for quality, reliability, and maintainability in line with Databricks standards
  • Mentor engineers and SMEs across Software and Support Engineering functions
What we look for:
  • BS or higher degree in Computer Science or a related field.
  • Technical leadership experience in large projects similar to those described, including automation tooling, distributed systems, and API's
  • Extensive full stack development experience
  • Proven success designing and deploying production-grade automation in complex technical environments
  • Hands-on experience with ML-assisted systems, decision support, or agentic automation
  • Deep familiarity with distributed data platforms, developer tooling, and large-scale infrastructure systems
  • Understanding of multi-cloud environments (AWS, Azure, GCP), compliance, and security constraints

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.
Local Pay Range
$190,000-$261,250 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.

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