Support Engineer
- Status
- Open
- Remote policy
- Remote
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- Support-Engineer, Technical-Support-Engineer, Customer-Support-Engineer, Technical-Support-Specialist, Service-Support-Engineer, Product-Support-Engineer, IT-Support-Engineer, Software-Support-Engineer, Support-Operations-Engineer, Solutions-Support-Engineer
- Source
- himalayas
- First observed
- 2026-10-29 04:29 UTC
- Last seen
- 2026-10-29 04:29 UTC
- Source claims posted
- 2026-10-29 04:21 UTC
- Consecutive misses
- 0 of 10
What the posting says
The Mission
AtScale is the semantic layer for modern data and AI. We bridge the gap between complex cloud data platforms—like Snowflake, Databricks, and Google BigQuery—and the business users who need consistent, AI-ready analytics. We are looking for a Technical Support Engineer to help us redefine how the world handles business intelligence by providing exceptional technical support and ensuring timely problem resolution for our customers.
The Impact You’ll Make
In this role, you will:
Manage and Resolve Technical Cases: Own core case management and customer communication, troubleshooting technical issues and translating system behavior into clear guidance for clients.
Perform Root-Cause Analysis: Analyze logs, replicate customer environments, and troubleshoot issues across cloud data platforms and the AtScale semantic layer.
Collaborate with Engineering: Document clear, actionable escalations for code-level bugs, collaborate with development teams to track fixes, and verify solutions before closure.
Why You’ll Love It Here
Ownership & Autonomy: You thrive as an individual contributor, owning your outcomes and driving real change.
Innovation-First: Work at the intersection of AI and data at a company hitting its next major inflection point.
Culture of Trust: Enjoy a flexible, remote-friendly environment built on transparency and professional growth.
Who You Are
You are comfortable in fast-paced environments where priorities can shift quickly.
You value quality over speed and are curious about using AI to improve efficiency.
You have experience with cloud data platforms (e.g., Snowflake, Databricks, BigQuery), SQL querying, and enterprise system troubleshooting.
You are based in or able to work Wast Coast (PT) hours.
The Perks
Competitive salary + equity.
Unlimited PTO and comprehensive benefits.
The chance to shape the future of a global leader in AI-ready analytics.
Ready to build the future of data? Visit to learn more.
Originally posted on Himalayas
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#1602006 2026-10-29 04:29 UTCPublished