# Senior Analytics Engineer

**Company:** [Twilio](https://hotfix.jobs/companies/twilio)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $142k – $208k/yr
**Experience:** 5+ years
**Skills:** SQL, aws glue, athena, presto, lookml, Python, Spark, Looker, Tableau, dbt, CI/CD, hive
**Posted:** 2026-07-28

> Senior Analytics Engineer building and maintaining a robust analytics data layer for R&D metrics at Twilio using AWS tools and LookML. Requires 4-5+ years experience in analytics/data engineering, strong SQL and stakeholder collaboration skills to ensure data quality and alignment.

## Job Description

## Responsibilities
- Design and implement a formal analytics data layer using AWS Glue, Athena / Presto, and LookML
- Collaborate within the Data Science & Analytics team and across Product & 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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