Staff Analytics Engineer
Twilio · Remote (United States) | Austin, TX | Dallas, TX | Phoenix, AZ | Boulder, CO | Denver, CO | Boston, MA | Raleigh, NC | Durham, NC | Atlanta, GA | Alpharetta, GA
About this role
Twilio is hiring a staff-level Analytics Engineer in the data engineering function as a remote position. The posting calls out experience with Python, SQL, AWS, Spark. Compensation is listed at $164,640–$205,800 per year.
- Role
- Analytics Engineer
- Function
- data engineering
- Level
- staff
- Track
- Tech leadership
- Location
- Remote (United States) | Austin, TX | Dallas, TX | Phoenix, AZ | Boulder, CO | Denver, CO | Boston, MA | Raleigh, NC | Durham, NC | Atlanta, GA | Alpharetta, GA
- Work mode
- Remote
- Posted
- Jan 21, 2026
More roles at Twilio
Job description
from Twilio careersWho 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.
Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
.
See yourself at Twilio
Join the team as Twilio's next Staff Analytics Engineer, R&D.
About the job
This position is needed to advance the consistency & 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 & Engineering to design and maintain a robust analytics data layer that enables trusted reporting on R&D metrics.