Senior Analytics Engineer

Twilio

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$149,840–$187,300 / yr
Posted
116 days ago
Freshness
Confirmed live today
Closes
Dec 29, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $169k
$132k $222k
below market most similar roles pay here above market

This role pays less than 52% of similar roles. Most pay $149,500–$212,550 — the blue band above. At the midpoint, this role pays about $169k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Twilio

Twilio is a cloud communications platform that provides APIs and software, allowing developers to embed voice, messaging, video, and email functionalities directly into their applications.

Twilio currently has 25 open roles on FindRole.

Listed pay typically runs $155,520–$194,400 across 19 roles with salary data.

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View all roles at Twilio

At a glance

TL;DR · Senior Analytics Engineer

The Senior Analytics Engineer joins the Data Science and Analytics team to advance the consistency and quality of the R&D analytics data layer. In this role, you will design and maintain a robust analytics data layer to enable trusted reporting on R&D metrics and accelerate development velocity. Key responsibilities include implementing data layers using AWS Glue, Athena, and LookML, developing automated data reconciliation and quality checks, and leading investigations into complex data anomalies. You will collaborate across Product and Engineering to codify metric definitions and mentor team members on best practices. Required skills include SQL, data modeling, and pipeline orchestration. Desired expertise includes Python, Spark, Hive, Presto, and dashboarding tools like Looker or Tableau, alongside experience with dbt tests and CI/CD.

What you'll do

  • Design and implement a formal analytics data layer using AWS Glue, Athena/Presto, and LookML.
  • Define, document, and maintain alignment on metric definitions and data lineage across departments.
  • Develop and maintain automated data reconciliation and quality checks to ensure report accuracy.
  • Lead investigations into complex data anomalies and conduct root cause analysis.
  • Communicate technical findings and data solutions to both technical and non-technical audiences.
  • Mentor team members on best practices for data modeling, testing, documentation, and code review.

What we're looking for

  • 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.
  • Proven track record of owning ambiguous projects from beginning to end with minimal guidance.
  • Strong technical communication and mentorship skills to convey complex concepts to various audiences.
  • 5+ years of professional experience in analytics engineering, data engineering, or business intelligence, ideally in B2B SaaS (preferred).
  • Expertise in Python, distributed computing (Hive, Presto, Spark), and dashboarding tools like Looker or Tableau (preferred).
  • Proven track record of implementing data quality frameworks, including dbt tests, CI/CD, and data observability (preferred).

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