databricks
Staff Backend Software Engineer
At a Glance
- Location
- New York, United States
- Experience
- 8+ years
- Posted
- 2026-03-18T13:27:45-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- Government
- Regulatory
Benefits & Perks
e strive to provide comprehensive benefits and perks that meet the needs of all of
Requirements
8+ years of experience in backend or infrastructure engineering
Scala, Go, or Python
Experience with distributed systems, scalable APIs, or cloud-native infrastructure
Familiarity with service-oriented architecture, deployment pipelines, and system observability
Strong product and ownership mindset — you care about building the right solution, not just any solution
Experience with real-time serving, ML infrastructure, or GPU orchestration
Compensation & Benefits
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page
here
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$190,000
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About the Company
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on
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