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Staff Software Engineer (L4) Data Platform

171 120 - 213 900$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Software Engineer (L4) Data Platform (Distributed Systems/Data Lakehouse): Architecting and implementing scalable data systems, storage solutions, and processing frameworks for Twilio’s Data Substrate team with an accent on distributed systems, big data technologies, AWS, and data quality. Focus on designing large-scale data platforms, building Data Lakehouse architectures, ensuring security and integrity across the data lifecycle, and mentoring engineers.

Location: Remote, United States; not eligible for hiring in California, Washington, New York, New Jersey, Pennsylvania, or Connecticut. Occasional travel may be required for project or team meetings.

Salary: $171,120–$213,900 annually for specified locations; other published ranges include $181,200–$226,500 and $201,280–$251,600 depending on location. Equity, bonus, and benefits may also apply.

Company

Twilio provides communications and data solutions that help businesses and developers build customer applications and experiences.

What you will do

  • Architect and implement scalable data systems, storage solutions, and processing frameworks.
  • Serve as a subject matter expert in distributed systems and data technologies.
  • Drive technical innovation and research into emerging data technologies.
  • Collaborate with cross-functional partners to translate business requirements into technical solutions.
  • Ensure data quality, integrity, security, and compliance throughout the data lifecycle.
  • Mentor and coach engineers while promoting technical excellence and continuous learning.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 8+ years of software development or related experience.
  • Experience architecting and delivering complex data projects at scale, with expertise in data infrastructure and distributed systems.
  • Expertise in Hadoop, Spark, Kafka, and other distributed computing systems, plus experience with AWS.
  • Proficiency in Python, Java, or Scala.
  • Hands-on experience with Data Lakehouse architectures and Hudi, Iceberg, or Delta data formats.

Nice to have

  • Contributions to open-source software projects.
  • Familiarity with data modeling, data warehousing, and ETL processes.

Culture & Benefits

  • Remote-first work with occasional in-person gatherings, off-sites, or customer meetings.
  • Health care insurance, 401(k), paid sick time, paid personal time off, and paid parental leave.
  • Potential eligibility for equity and a corporate bonus plan.
  • Inclusive culture focused on collaboration, technical excellence, and continuous learning.

Hiring process

  • Applications were intended to be accepted until August 28, 2026, with the deadline subject to business needs.
  • Twilio uses AI to support hiring efficiency, but decisions are made by employees through a formal interview process.

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