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Databricks Software Jobs in Seattle, WA (NOW HIRING)

P-1126 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 ...

P-1299 Databricks is radically simplifying the entire data lifecycle, from ingestion to generative AI and everything in-between. We're doing it cross-cloud with a unified platform, currently serving ...

P-1126 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 ...

P-1126 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 ...

P-1413 At Databricks, we are passionate about enabling data teams to solve the world's toughest ... You will build software that is not just high quality, but easy to operate. * You will manage ...

Sr. Counsel, Commercial

Bellevue, WA · On-site

$219K - $302K/yr

GAQ327R204 About the Role Databricks is looking for an experienced attorney to join our Commercial ... Significant experience drafting, negotiating, and closing complex sell-side software, SaaS, and ...

GAQ426R82 About the Role As a Program Manager for Product Legal at Databricks, you will sit at the intersection of cutting-edge data/AI innovation, software engineering, and global compliance.

Showing results 41-60

Databricks Software information

See Seattle, WA salary details

$54.6K

$127.3K

$188.9K

How much do databricks software jobs pay per year?

As of Aug 23, 2026, the average yearly pay for databricks software in Seattle, WA is $127,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $147,900.00 per year, depending on experience, location, and employer.

What is Databricks software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

What are the key skills and qualifications needed to thrive as a Databricks software engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What are some common challenges faced by Databricks software engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

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

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

Senior Software Engineer - Backend Bellevue, Washington

Databricks Inc.

Bellevue, WA • On-site

$157.70 - $213.80/hr

Other

Posted 18 days ago


Job description

(Position Location is open to both our Seattle & Bellevue offices.)

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 solve 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.

The impact you'll have

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. Our backend teams span many domains, from OS/container systems, to serverless infrastructure, to partner integration, and to machine learning infrastructure.

Example Projects
  • Serverless platform: Build Databricks serverless platform that powers the big data, machine learning and Gen AI workloads. Automatically improve the performance and efficiency of workloads running on the platform while also ensuring they scale to millions of machines across a multi‑cloud environment.
  • Core cloud platform: Build cutting‑edge OS, container and networking technologies that power the entire Databricks infrastructure, from internal infrastructure, to serverful, and to serverless platform. Improve the security, efficiency and reliability across the fleet.
  • Partner ecosystem: Build and grow a partner ecosystem for Databricks SQL. Build and offer a variety of toolkits to support partners and customers’ deep and seamless integrations with Databricks. Maintain and nurture productive and beneficial partnerships within the ecosystem.
  • Notebook dataplane: Build multi‑language multi‑user collaborative REPL experience for Databricks users with high level of reliability and responsiveness, with a focus on Data Science and AI/ML authoring and experimentation experiences in notebooks.
  • Application platform: Build tools, frameworks and platforms to allow Databricks engineers to build, deploy and operate services with “batteries included”. Improve the scale, observability and safety of all Databricks services across different clouds while improving every engineer's developer experience.
What we look for
  • BS (or higher) in Computer Science, or a related field
  • 5+ years of production level experience in one of: Java, Scala, Golang, C++, or similar language
  • Experience working on a SaaS platform or with Service‑Oriented Architectures
  • Experience with cloud technologies, e.g. AWS, Azure, GCP, or Kubernetes
  • Experience with security and systems that handle sensitive data
Pay Range Transparency

Local Pay Range

$157,700 — $213,800 USD

Benefits

At 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, visit our website.

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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