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Databricks Engineer Jobs in Bothell, WA (NOW HIRING)

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 ... Partner with world-class engineering and research teams to transform cutting-edge AI advancements ...

Databricks

Senior Software Engineer - Money Team

Bellevue, WA · On-site

$138K - $182K/yr

P-1253 At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from ... As a Sr. Software engineer on the Money team, you will be closely involved in the entire billing ...

Databricks

Staff Software Engineer - Streaming

Seattle, WA · On-site

$182K - $247K/yr

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems ... The role We're seeking an experienced Staff Engineer to drive the technical direction of Spark ...

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 ...

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Showing results 21-40

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.

Sr. Product Manager, Databricks Free Edition

Databricks

Seattle, WA • On-site

$144K - $190K/yr

Full-time

Re-posted 6 days ago

Job description

RDQ126R51

Mission

At Databricks, we're on a mission to help data teams solve the world's toughest problems. The Databricks Free Edition makes it easy for students, enthusiasts, and aspiring professionals to explore data and AI hands-on, gaining the skills and confidence to build the future.

We're looking for a Senior Product Manager to join the team driving Databricks Free Edition. You'll collaborate closely with a cross-functional team of product managers, engineers, and designers to create experiences that make learning data and AI engaging, accessible, and impactful.

The Impact You Will Have
  • Help shape and advance the vision, strategy, and roadmap for Databricks Free Edition, contributing to experiences that make learning data and AI engaging and accessible.
  • Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks.
  • Work with academic and learning program partners to support data and AI education through Databricks.
  • Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails.
  • Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements.
  • Define and track success metrics that measure learning engagement and user outcomes.
What We Look For
  • 5+ years of product management experience, preferably in data, AI, or developer-focused platforms.
  • Strong customer empathy and passion for creating learning and onboarding experiences that empower users.
  • Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams.
  • Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts.
  • Technical proficiency to collaborate effectively with engineering on data and platform capabilities.

Apply