Staff Analytics Engineer
Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
What this role actually needs.
Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Responsibilities: - Design and implement a formal analytics data layer using AWS Glue, 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 - 6+ years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline–ideally in a B2B SaaS environment. Requirements: - 6+ years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline–ideally in a B2B SaaS environment. - Advanced 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 - Intermediate 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 Benefits: - Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $155,520 - $194,400. - Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $164,640 - $205,800. - Based in the San Francisco Bay area, California: $182,960 - $228,700. - This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. Company context: Twilio is the customer engagement platform for messaging, voice, video, and customer-data orchestration.
Day-to-day expectations
Twilio lists these responsibilities for the Staff Analytics Engineer role.
- Design and implement a formal analytics data layer using AWS Glue, 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
- 6+ years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline–ideally in a B2B SaaS environment.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 6+ years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline–ideally in a B2B SaaS environment.
- Advanced 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
- Intermediate 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
Why people would want this job
Twilio published these compensation, benefits, or working-context details with the role.
- Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $155,520 - $194,400.
- Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $164,640 - $205,800.
- Based in the San Francisco Bay area, California: $182,960 - $228,700.
- This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
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Source: job-boards.greenhouse.io · Source ID: 7551660 · Confidence: 90/100 · Last checked: May 7, 2026
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