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60 Databricks Quality Assurance Engineer Jobs Hiring Near You

Databricks

Principal Engineer, Authentication

Bellevue, WA · On-site

$266K - $365.75K/yr

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

Databricks

Staff Software Engineer - IAM

Bellevue, 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

Seattle, WA · On-site

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

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

Staff Software Engineer - IAM

Bellevue, WA · On-site

$181.30K - $261K/yr

P-1126 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.
Principal Engineer, Authentication

Principal Engineer, Authentication

Databricks

Mountain View, CA • On-site

$280K - $385K/yr

Full-time

Posted 24 days ago

Job description

P-1125
At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.
Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.
Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. The customer's journey on our platform starts with Authentication. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space.
The impact you will have:
  • Craft and execute a long-term north-star vision for Authentication that balances uncompromised security with a frictionless user experience.
  • Recruit and mentor top-tier engineering talent to scale our security infrastructure.
  • Act as the voice of Security Engineering across the organization, driving data-driven decisions at the executive level.
  • Databricks' security innovations at major academic and industry conferences.

What we look for:
  • 10+ years of experience in Data Security or related areas and expertise in two or more of the following--Authentication, Network, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus.
  • 15+ years of experience building large scale distributed systems with high availability
  • Leadership skills and experience to lead across functional and organizational lines
  • Strong communication skills to explain and evangelize Data Security to senior leaders across the company
  • Bias to action and passion for delivering high-quality solutions
  • MS or Ph.D. in Computer Science or related fields

This role is open to remote candidates.
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
$280,000-$385,000 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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