Principal Machine Learning & Data Engineer

About the Role

<div class="content-intro"><p><strong>Who we are&nbsp;</strong></p> <p>At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to<a class="c-link" href="https://customers.twilio.com/" target="_blank" data-stringify-link="https://customers.twilio.com/" data-sk="tooltip_parent">&nbsp;hundreds of thousands of businesses&nbsp;</a>and empower millions of developers worldwide to craft personalized customer experiences.</p> <p>Our dedication to <a class="c-link" href="https://www.twilio.com/en-us/blog/open-work" target="_blank" data-stringify-link="https://www.twilio.com/en-us/blog/open-work" data-sk="tooltip_parent">remote-first work</a>, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.<br><br>We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!</p> <p><span style="color: rgb(255, 255, 255);">.</span></p></div><p><strong>See yourself at Twilio</strong></p> <p>Join the team as Twilio’s next L5 Machine Learning &amp; Data Engineer to lead the design, build, and operation of the internal ML-and-data platform that powers every customer interaction. You will architect cloud-native pipelines, model-serving infrastructure, and developer tooling that allow Twilio’s product teams to iterate rapidly and safely at scale, advancing our mission to unlock the imagination of builders.</p> <p>&nbsp;</p> <p><strong>About the job</strong></p> <p>Twilio’s next L5 Machine Learning &amp; Data Engineer to lead the design, build, and operation of the internal ML-and-data platform that powers every customer interaction. You will architect cloud-na

Key Responsibilities

• 1

  Design and maintain scalable ETL/ELT data pipelines across diverse sources.

• 2

  Build and manage data warehouse/lake solutions (Snowflake, BigQuery, Redshift).

• 3

  Implement data quality checks and monitoring for high reliability.

• 4

  Optimize queries and pipeline performance for scale and cost.

• 5

  Collaborate with stakeholders to translate data needs into technical solutions.

• 6

  Enforce data governance, security, and privacy standards.

Requirements

• Bachelor's/Master's in CS, Engineering, or related field.
• 2+ years building production data pipelines.
• Proficiency in Python and SQL.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with orchestration tools like Airflow or Prefect.

Skills Required

How The Selection Process Works

Make Your Resume ATS-Friendly

Important Application Guidelines