Senior Analytics Engineer
USD 166,600–208,300 / year
- Company
- Mercury
- Location
- San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada
- Work mode
- Remote
- Open to applicants from
- Specific countries
- Level
- Senior
- Employment
- Not stated
- Field
- Data & AI / Data engineering
- Stated pay
- USD 166,600–208,300 / year
- Posted
- 2026-10-05 (41 days ago)
- Visa sponsorship mentioned
- Not mentioned
- Listing source
- Greenhouse
dbtAirflowSnowflakeSQLPython
About the role
In 1989, Tim Berners-Lee wrote a proposal for CERN. CERN lost knowledge when people left, because its information was in many systems that did not connect. His solution was simple: link documents so that all people can find them and use them. That proposal became the World Wide Web. Mercury has a similar challenge with data. Teams, models, and AI agents need data that they can find, understand, and trust. We are building an AI-native data platform that enables Mercury to have reliable analytics, accelerate product development, and enable the next generation of AI-powered products and internal tools. We are hiring a Senior Analytics Engineer to help us accelerate. You’ll join a team of…
Excerpt only. Read the full description and apply at the original posting on Greenhouse. We list jobs from public job-board feeds and do not alter employer content beyond this excerpt.
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