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Databricks Engineer Jobs in Tacoma, WA (NOW HIRING)

Databricks

Sr. Product Manager, Databricks Repos

Seattle, WA · Remote

$144K - $190K/yr

Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical ... Databricks Repos is the source control and workflow foundation that powers how data engineers, ML ...

Databricks

Senior Software Engineer - Backend

Bellevue, WA · On-site +1

$138K - $182K/yr

P-939 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are ... Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$148K - $204K/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

Sr. Product Manager, Databricks AI

Seattle, WA

$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 ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Tacoma, WA

Databricks Engineer information

See Tacoma, WA salary details

$63.9K

$119.8K

$217.9K

How much do databricks engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for databricks engineer in Tacoma, WA is $119,826.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $142,200.00 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 Tacoma, WA?

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

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

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

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

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

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Tacoma, WA as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $119,607 per year, or $57.5 per hour.

Sr. Product Manager, Databricks Repos

Databricks

Seattle, WA • Remote

$144K - $190K/yr

Full-time

Re-posted 21 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.

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