Staff Software Engineer – Data Platform

🕒 April 7

🏄 California, Connecticut, +4 more states – Remote

🏄 California – Remote 🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🔔 Pennsylvania – Remote ☕ Washington – Remote

💵 $171.1k - $213.9k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Twilio

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Millions of developers around the world have used Twilio to unlock the magic of communications to improve any human experience.Twilio has democratized communications channels like voice, text, chat, video, and email by virtualizing the world’s communications infrastructure through APIs that are simple enough for any developer to use, yet robust enough to power the world’s most demanding applications.By making communications a part of every software developer’s toolkit, Twilio is enabling innovators across every industry — from emerging leaders to the world’s largest organizations — to reinvent how companies engage with their customers.Founded in 2008, Twilio has over 5,000 employees in 26 offices in 17 countries and counting, with headquarters in San Francisco and other offices in Atlanta, Bangalore, Berlin, Bogotá, Denver, Dublin, Paris, Prague, Hong Kong, Irvine, London, Madrid, Munich, Malmö, Mountain View, Redwood City, New York City, São Paulo, Sydney, Melbourne, Singapore, Tallinn, and Tokyo.

📋 Description

• Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills • Architect and implement scalable and efficient data systems, storage solutions, and processing frameworks using state-of-the-art technologies. • Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices. • Mentor and coach a team of talented engineers, fostering a culture of technical excellence, collaboration, and continuous learning. • Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions. • Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • 8+ years of experience in software development, or a related field. • Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems. • Expertise in big data technologies such as Hadoop, Spark, Kafka, and other distributed computing systems. • Experience designing, building, and operating large-scale systems using AWS technologies. • Proficiency in programming languages such as Python, Java, or Scala, with strong problem-solving skills and attention to detail. • Experience designing or working with Data Lakehouse architectures, including hands-on experience with Hudi, Iceberg, or Delta data formats. • Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams. • Strong leadership skills, with a track record of mentoring and developing junior engineers. • Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options