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Twilio

Runs the texts and calls behind business apps

Senior Analytics Engineer - R&D

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • The candidate must have 4–5 years of professional experience in analytics engineering, data engineering, or a related discipline.
  • The candidate must have strong SQL expertise and hands-on experience designing data models and orchestrating data pipelines using AWS Glue or similar technologies.
  • The candidate must be able to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics and ensure company-wide data alignment.
  • The candidate must have a track record of owning ambiguous projects from beginning to end with minimal guidance.
  • The candidate must have technical communication and mentorship skills to convey complex concepts to audiences with varying levels of technical knowledge.

Responsibilities

  • Design and implement a formal analytics data layer using AWS Glue, Athena or Presto, and LookML.
  • Collaborate within the Data Science and Analytics team and across Product and Engineering to define, document, and maintain alignment on metric definitions and data lineage.
  • Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies and ensure the accuracy and consistency of critical reports and dashboards.
  • Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions to technical and non-technical audiences.
  • Mentor and guide members of the data science and analytics team, establishing and enforcing best practices for data modeling, testing, documentation, and code review.

Desired Qualifications

  • Five or more years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline, ideally in a B2B SaaS environment.
  • Expertise in Python; distributed computing technologies such as Hive, Presto, and Spark; and dashboarding tools such as Looker or Tableau.
  • A track record of implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability.
  • Experience promoting and establishing data culture and best practices within a fast-paced technology organization.

About the Company

Twilio

Runs the texts and calls behind business apps

Twilio builds cloud software that lets businesses add text messages, phone calls, email, and identity checks to their own apps and websites through code their developers write. In 2011, Uber moved its rider texts to Twilio, which later let the ride app expand abroad without signing deals with each country's phone carriers. Developers call Twilio's programming interfaces to send texts and WhatsApp messages, run calls that people or AI voice agents answer, send email through its SendGrid service, and confirm logins with one-time codes. Customers pay mostly per message, call minute, or check, plus subscriptions for email. Twilio was founded in 2008 and is based in San Francisco.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2008

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