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Databricks Jobs in Seattle, WA (NOW HIRING)

Databricks

Sr. Product Manager, Databricks Repos

Seattle, WA · On-site

$148.80K - $204.53K/yr

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 ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$148.80K - $204.53K/yr

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI ...

Databricks

Sr. Product Manager, Databricks Repos

Seattle, WA · Remote

$144K - $190K/yr

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 ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$144K - $190K/yr

Databricks is a leading data and AI company, committed to helping organizations harness the power of data and AI. The Sr. Product Manager for Databricks AI will shape the future of enterprise AI by ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$144K - $190K/yr

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI ...

Deloitte

Databricks Engineer

Seattle, WA · On-site +1

As an experienced Databricks Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Deloitte

Databricks Engineer

Bellevue, WA · On-site +1

As an experienced Databricks Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Databricks

Staff Software Engineer - Money Team

Bellevue, WA · On-site

$182.40K - $247K/yr

Staff Software Engineer - Money Team P-940 At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this ...

Databricks

Sr. Program Manager, Data for Good

Seattle, WA · On-site

$132K - $132.60K/yr

As the Lead for Databricks for Good, you will own Databricks' social impact initiative end to end. You will work closely with Databricks teams and with nonprofits, universities, and public-interest ...

Databricks

Customer Enablement Specialist

Bellevue, WA · On-site

$86.60K - $119.15K/yr

The Opportunity Databricks runs some of the largest customer enablement programs in the industry - workshops, digital courses, labs, and webinars that reach thousands of users. The Customer ...

Databricks

Sr. Product Manager, DBSQL

Seattle, WA · On-site

$148.80K - $204.53K/yr

Our Databricks SQL (DBSQL) product is at the forefront of next-gen AI powered cloud data warehousing , helping businesses query, visualize, and drive real-time decisions at scale. DBSQL is the ...

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See Seattle, WA salary details

$26.8K

$42.9K

$58.1K

How much do databricks jobs pay per year?

As of May 28, 2026, the average yearly pay for databricks in Seattle, WA is $42,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $47,300.00 per year, depending on experience, location, and employer.

What is a Databricks job?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

Does Databricks pay more than Google?

As a data platform company, Databricks generally offers competitive salaries that can be comparable to or slightly lower than Google's, depending on the role, location, and experience level. Google is known for high compensation packages, especially for engineering and technical roles, often including bonuses and stock options, while Databricks also provides attractive pay and benefits for data engineers, data scientists, and software engineers. Salary differences depend on specific job functions, seniority, and geographic location.
More about Databricks jobs
What are the most commonly searched types of Databricks jobs in Seattle, WA? The most popular types of Databricks jobs in Seattle, WA are:
What are popular job titles related to Databricks jobs in Seattle, WA? For Databricks jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Databricks jobs in Seattle, WA look for? The top searched job categories for Databricks jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Databricks jobs? Cities near Seattle, WA with the most Databricks job openings:
Databricks jobs near you
Infographic showing various Databricks job openings in Seattle, WA as of May 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $42,944 per year, or $20.6 per hour.
Sr. Product Manager, Databricks Repos

Sr. Product Manager, Databricks Repos

Databricks

Seattle, WA • On-site

$148.80K - $204.53K/yr

Full-time

Posted 23 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.

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