Staff Software Engineer - Streaming

Databricks · Seattle, Washington · Engineering - Pipeline · listed July 31, 2026

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The shape of it

Seniority
Staff
Experience asked
8+ years
Where
Not stated
Stated pay
$182,400 – $247,000 USD
Requirements listed
6
Length
742 words

In the posting’s own words

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 it asks for · 6

  • 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

What the job covers

  • 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

Degree language

  • BS (or higher) in Computer Science or a related technical field, or equivalent practical experience

Tools and skills named

Data
  • Spark8×
  • Databricks5×
Product & design
  • Product management
  • Roadmap
Cloud & infra
  • Distributed systems

Words the posting leans on

  • data5×
  • building4×
  • customers4×
  • product4×
  • spark structured4×
  • stream processing4×
  • structured streaming4×
  • systems4×
  • drive3×
  • engine3×
  • technical3×
  • apache spark2×
  • architecture2×
  • bar2×
  • build2×
  • capabilities2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.