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Databricks Engineer Jobs in Seattle, WA (NOW HIRING)

Databricks

Sr. Counsel, Product

Bellevue, WA · On-site

$219K - $302K/yr

GAQ427R191 Databricks is seeking a Senior Product Counsel to help the Databricks legal team provide cutting-edge, practical legal advice to Databricks' engineering and product management teams as we ...

PEMCO

Senior Databricks AI/ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

They are seeking a Senior Databricks AI/ML Engineer to build and deploy scalable AI/ML solutions across various insurance functions, collaborating with data scientists and engineers to operationalize ...

Databricks

Senior Software Engineer - Money Team

Bellevue, WA · On-site

$137K - $181K/yr

Databricks is a data and AI company that builds and runs the world's best data and AI infrastructure platform. The Senior Software Engineer on the Money team will be involved in the entire billing ...

Databricks

Staff Software Engineer - IAM

Bellevue, WA · On-site

$181K - $261K/yr

P-1126 Summary At Databricks, we are obsessed with enabling data teams to solve the world ... Our engineering teams build highly technical products that fulfill real, important needs in the ...

Databricks

Principal Engineer - Privacy

Seattle, WA · On-site

P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world ... Our engineering teams build highly technical products that fulfill real, important needs in the ...

Databricks

Staff Software Engineer - IAM

Bellevue, WA · On-site

Databricks is a data and AI company that empowers data teams to tackle significant challenges through its robust data and AI infrastructure platform. They are seeking a Staff Software Engineer ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Seattle, WA

Databricks Engineer information

See Seattle, WA salary details

$67.7K

$127K

$231K

How much do databricks engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for databricks engineer in Seattle, WA is $127,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,600.00 and $150,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.

What are popular job titles related to Databricks Engineer jobs in Seattle, WA?

For Databricks Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Seattle, WA look for?

The top searched job categories for Databricks Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Databricks Engineer jobs?

Cities near Seattle, WA with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $127,038 per year, or $61.1 per hour.

Sr. Counsel, Product

Databricks

Bellevue, WA • On-site

$219K - $302K/yr

Full-time

Re-posted 7 days ago

Job description

GAQ427R191
Databricks is seeking a Senior Product Counsel to help the Databricks legal team provide cutting-edge, practical legal advice to Databricks' engineering and product management teams as we navigate rapidly evolving global laws and regulations in big data, including data privacy, data protection, and AI. This role will report to the Assistant General Counsel, Product.
The impact you will have:
  • Demonstrate expertise in product counseling, data protection laws, marketing, and technology transactions, as well as the capacity to be a generalist and learn new areas of law and legal skills quickly.
  • Exercise keen business and legal judgment. You know when to say "yes", "no, unless ...", and "no", but you also know when to escalate concerns.
  • Contribute to developing processes to improve our product counseling function.
  • Provide end-to-end product counseling - from ideation to end of life.
  • Partner with teams across Databricks and close external partners that are building, deploying, and operating technology for external and internal users.
  • Work cross-functionally with the commercialization, product marketing, marketing, and communications teams to bring our transformative offerings to market.
  • Collaborate with other legal leaders in commercial, go-to-market, compliance, corporate, and public affairs with respect to product issues.
  • Deeply understand product and data risk issues to be able to hear and answer questions that aren't asked and translate technical and security concerns into answers understandable to non-technical lawyers.
  • Assist your product stakeholders in developing process improvements.
  • Draft and update form agreements regarding products and services, and negotiate product and security-related changes to customer contracts, including those in DPAs and BAAs.
  • Provide general legal support on a flexible, as-needed basis with respect to other areas of the business.
  • Work with potential vendors to understand data flows to determine privacy and data protection risk, and coordinate with the privacy legal team as appropriate.
  • Advise on cybersecurity issues as a member of incident response teams.
  • Contribute as a team player to further the legal department's reputation as an effective, respected, and valued resource within the company.

What we look for:
  • 6+ years of relevant legal experience at a top law firm and/or in-house (a combination of both is a plus), with a minimum of 2 years focused experience in product, privacy, and/or IP law
  • Experience with AI, FedRAMP requirements, or payments a plus
  • Experience working for a company offering platform services to business customers is a plus
  • Deep understanding of cloud and software technology, and a strong desire to work on legal issues in these areas
  • Technical background -- either an engineering or hard science academic background, demonstrated ability to acquire deep product understanding, or significant life experience as a general technology nerd
  • State bar membership required
  • Ability to prioritize and manage time, and client expectations, in the face of competing demands, often without direct guidance as we scale our rapidly expanding business
  • Comfortable working with distributed teams
  • Ability to exercise good judgment in raising issues and when collaborating with others
  • Outstanding written and verbal communication skills

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
$219,800-$302,300 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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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