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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-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 ...

... software that is not just high quality but easy to operate. • Make company wide impact by driving Stream Processing adoption across the Databricks product portfolio • Manage technical debt ...

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 ...

Program Manager, Product Legal

Bellevue, WA · On-site

$109K - $150K/yr

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.

Engineering Manager - Streaming

Bellevue, WA · On-site

$181K - $253K/yr

Build software that is not just high quality but easy to operate. * Make company wide impact by driving Stream Processing adoption across the Databricks product portfolio * Manage technical debt ...

Program Analyst, Legal Ops

Bellevue, WA · On-site

$92K - $126K/yr

Proficiency with proposal management software. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and ...

Financial Analyst

Bellevue, WA · On-site

$104K - $143K/yr

GAQ227R124 Databricks is looking for a Financial Analyst to join the Sales Finance team in the FP&A ... with the software industry (and SaaS) a must * Experience in building financial models ...

Senior Databricks AI/ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

Serve as Databricks Architect responsible for designing, deploying, and governing Databricks ... S. degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning ...

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 ... Deep understanding of cloud and software technology, and a strong desire to work on legal issues in ...

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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 Jul 14, 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 engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at large tech companies, can earn $500,000 or more annually. These roles often require extensive experience, advanced skills in programming and cloud platforms, and may include bonuses or stock options that contribute to total compensation.

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.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Senior roles and specialized skills in data engineering or cloud platforms can command higher compensation. Benefits often include stock options, bonuses, and professional development opportunities.

Is Databricks a high paying job?

Working as a Databricks software engineer or data scientist typically offers above-average salaries compared to other tech roles, reflecting the specialized skills in cloud platforms, big data, and Spark. Compensation varies based on experience, location, and certifications, but generally includes competitive base pay, bonuses, and stock options. These roles often require knowledge of programming languages like Python or Scala and familiarity with cloud environments such as AWS or Azure.

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 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 exactly are Databricks Jobs?

Databricks Jobs are automated tasks or workflows that run on the Databricks platform, typically involving data processing, machine learning, or analytics tasks. They can be scheduled, monitored, and managed through the Databricks workspace, requiring knowledge of Spark, SQL, or Python scripting. Job roles often involve configuring clusters and ensuring efficient execution of data pipelines.

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.

Senior Staff Software Engineer - IAM

Senior Staff Software Engineer - IAM

Databricks

Seattle, WA

$139K - $183K/yr

Other

Re-posted 19 days ago


Job description

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 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