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Databricks Software Jobs in Seattle, WA (NOW HIRING)

Databricks

Senior Software Engineer - Fullstack

Seattle, WA · On-site

$139K - $183K/yr

Databricks is a data and AI company that enables data teams to solve complex problems through their Data Intelligence Platform. The Senior Full Stack Software Engineer will work collaboratively to ...

Databricks

Systems PhD - Software Engineer

Seattle, WA · On-site

$196K - $233K/yr

Databricks is a leading data and AI company that simplifies the data lifecycle for over 10,000 customers. They are seeking a Systems PhD - Software Engineer to design and implement advanced systems ...

Databricks

Sr Software Engineer-Networking

Bellevue, WA · On-site

$137K - $181K/yr

Databricks is a data and AI company focused on enabling data teams to tackle significant challenges through their advanced data and AI infrastructure platform. They are seeking experienced Senior ...

Databricks

Sr Software Engineer-Networking

Bellevue, WA · On-site

$138K - $182K/yr

(P-1286) At Databricks, we are passionate about enabling data teams to solve the world's toughest ... We are seeking experienced Senior Software Engineers with large-scale distributed system experience ...

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Showing results 21-40

All JobsDatabricks Software JobsDatabricks Software Jobs in Seattle, WA

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:

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

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

Databricks Software jobs near you

Staff Software Engineer - Streaming

Databricks

Seattle, WA

Full-time

Posted 22 days ago

Job description

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 turn deep data insights into better business outcomes.

We are the Spark Structured Streaming team, responsible for building stream processing into Apache Spark and the Databricks Data Intelligence Platform. Stream processing is still in its early days, and we're here to build not only state-of-the-art streaming technology but also a best-in-class managed offering for customers to run their streaming workloads.

The role

We're seeking an experienced Staff Engineer to drive the technical direction of Spark Structured Streaming, spanning both open source and Databricks-specific components. Your mission is to make Spark Structured Streaming the state-of-the-art stream processing engine - adding advanced capabilities such as sophisticated state management and new operators, while re-imagining the engine's architecture to drive improvements for latency, throughput, and cost.

What you'll do:

  • Set and drive the technical vision for Spark Structured Streaming across OSS and the Databricks Data Intelligence Platform
  • Design and build core engine capabilities - state management, new operators, and architectural improvements to latency and throughput
  • Raise the bar for engineering quality and operability, building software that is not just high quality but easy to run in production
  • Make company-wide impact by driving stream processing adoption across the Databricks product portfolio
  • Guide long-term architecture and technical-debt decisions, balancing them against the product roadmap
  • Mentor and technically lead engineers on the team, and partner with the Engineering Manager to attract and grow top-tier talent

What we look for:

  • BS (or higher) in Computer Science or a related technical field, or equivalent practical experience
  • 8+ years building related systems - big-data ecosystems, Apache Spark, or database internals
  • A passion for database systems, storage systems, distributed systems, language design, or performance optimization
  • Comfortable working toward a multi-year vision with incremental deliverables
  • A track record of delivering features while maintaining a high bar for operational excellence and engineering quality
  • Comfortable working cross-functionally with product management and directly with customers, with the ability to deeply understand the product and customer personas

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