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60 Databricks Quality Assurance Engineer Jobs Hiring Near You

Databricks

Sr. Machine Learning Engineer

San Francisco, CA · On-site

$144.30K - $190.30K/yr

... A and many others. As our GenAI products continue to evolve, we are seeking multiple GenAI ... In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks ...

Databricks

Sr. Machine Learning Engineer

San Francisco, CA · On-site

$164.20K - $205.20K/yr

... A and many others. As our GenAI products continue to evolve, we are seeking multiple GenAI ... In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks ...

Databricks

Sr. Machine Learning Engineer

San Francisco, CA · On-site

$164.20K - $205.20K/yr

... A and many others. As our GenAI products continue to evolve, we are seeking multiple GenAI ... In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks ...

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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?
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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.
Sr. Staff Software Engineer - Money Team

Sr. Staff Software Engineer - Money Team

Databricks

Bellevue, WA • On-site

Full-time

Posted 17 days ago

Job description

Job Summary:
Databricks is a leading data and AI company focused on solving complex problems through innovative infrastructure. The Sr. Staff Software Engineer on the Money team will manage billing processes and collaborate with various teams to ensure a seamless billing experience for customers across multiple cloud platforms.
Responsibilities:
• Design and manage the Money systems and services, commercializing all Databricks products and offerings.
• Develop innovative primitives that enable and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.
• Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
• Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans.
• Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers.
• You will become an expert at using the Databricks Data + AI tools
• Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.
• Represent Databricks at academic and industrial conferences & events.
Qualifications:
Required:
• BS or higher degree in Computer Science or a related field.
• 9+ years of experience building large projects similar to those described, including near real-time large data processing and distributed service infrastructure management.
• Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale.
• Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.
• A proactive approach and a passion for delivering high-quality solutions
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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