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Senior Analytics Engineer

Twilio LogoTwilio
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This position closed on August 25, 2026

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Salary

Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont, or Washington D.C.: $141,520 - $176,900 / New York, New Jersey, Washington State, or California (outside of the San Francisco Bay Area): $149,840 - $187,300 / San Francisco Bay Area, California: $166,400 - $208,000

Location

Remote. This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.

Posted

1 month ago

This position is needed to advance the consistency and quality of our R&D analytics data layer and accelerate the development velocity of analysts. Our Data Science and Analytics team seeks to empower R&D to make data-backed decisions that accelerate innovation and improve product performance. You will work closely within our team and across Product and Engineering to design and maintain a robust analytics data layer that enables trusted reporting on R&D metrics.

Responsibilities

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

Qualifications

Required:

  • 4-5 years of professional experience in analytics engineering, data engineering, or a related discipline
  • Strong expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using AWS Glue or similar technologies
  • Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment
  • Proven track record of owning ambiguous projects from beginning to end with minimal guidance
  • Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences

Desired:

  • 5+ 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 like Hive, Presto, and Spark; and dashboarding tools like Looker or Tableau
  • Proven track record of implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability
  • Experience evangelizing and establishing data culture and best practices within a fast-paced technology organization

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