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Databricks Engineer Jobs in Bothell, WA (NOW HIRING)

Databricks

Principal Engineer - Privacy

Seattle, WA · On-site

$220K - $297K/yr

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

$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 ...

HMG America

Senior Data Engineer (AWS Databricks)

Seattle, WA · On-site

$119K - $163K/yr

Senior Data Engineer (AWS Databricks) Location: Seattle, WA / Dallas, TX / Phoenix, AZ / Charleston, SC (Hybrid . 1-2 days/ week) ROLE OVERVIEW We are looking for a Senior Data Engineer to own the ...

PEMCO

Senior Databricks AI/ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

PEMCO has a dynamic and challenging opportunity for a Senior Databricks AI/ML Engineer to join our community. This role focuses on building and deploying scalable AI/ML solutions across key areas of ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Bothell, WA

Databricks Engineer information

See Bothell, WA salary details

$67.4K

$126.5K

$230K

How much do databricks engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for databricks engineer in Bothell, WA is $126,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $150,100.00 per year, depending on experience, location, and employer.

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.

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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

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 like AWS or Azure, making them valuable in data-driven organizations across various industries.

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

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

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

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

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

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

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Bothell, WA as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $126,461 per year, or $60.8 per hour.

Principal Engineer - Privacy

Databricks

Seattle, WA • On-site

$220K - $297K/yr

Full-time

Re-posted 7 days ago

Job description

P-1125
Summary
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. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. 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:
  • Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services
  • Attract top talent from across the industry.
  • Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven
  • Represent Databricks at academic and industry conferences & events

What we look for:
  • 9+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, 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

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
$220,400-$297,400 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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