Staff Software Engineer (L4) Data Platform

Twilio

Remote Actively hiring Verified listing
Remote (San Francisco, CA, US) Posted 58 days ago Apply by Oct 3, 2026 $171,120$213,900 / year

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $193k
$132k most similar roles pay here $246k

This role pays less than 54% of similar roles. Most pay $161,825–$214,500 — the shaded band above. At the midpoint, this role pays about $193k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Twilio

Twilio is a cloud communications platform that provides APIs and software, allowing developers to embed voice, messaging, video, and email functionalities directly into their applications.

Twilio currently has 21 open roles on FindRole.

Listed pay typically runs $155,520–$175,245 across 20 roles with salary data.

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At a glance

TL;DR

Join Twilio's Data & Analytics Platform team as a Staff Software Engineer, where you will architect scalable data solutions and mentor talented engineers while driving technical innovation in distributed systems. You’ll collaborate with cross-functional teams to deliver complex projects at scale, ensuring data quality and security across the board. Ideal candidates have deep expertise in big data technologies like Hadoop, Spark, Kafka, and AWS, along with hands-on experience in Data Lakehouse architectures using formats such as Hudi or Delta. Proficiency in Python, Java, or Scala is essential, alongside strong leadership skills to guide junior engineers and foster a culture of continuous learning. This role demands excellence in software engineering and data systems, making it ideal for those passionate about shaping the future of real-time business communications at a global scale.

What you'll do

  • Architect and implement scalable data systems using state-of-the-art technologies.
  • Drive technical innovation by researching emerging data technologies and best practices.
  • Mentor a team of engineers to foster technical excellence and continuous learning.
  • Ensure data quality, integrity, and security throughout the entire lifecycle.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.

What we're looking for

  • 8+ years of experience in software development or a related field.
  • Proven track record of architecting and delivering complex data projects at scale.
  • Expertise in big data technologies such as Hadoop, Spark, Kafka, and distributed computing systems.
  • Experience designing, building, and operating large-scale systems using AWS technologies.
  • Strong leadership skills with experience mentoring and developing junior engineers.

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