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AtScale is the semantic layer for modern data and AI. We bridge the gap between complex cloud data platforms—such as Snowflake, Databricks, and Google BigQuery—and the business users who need consistent, AI-ready analytics. Following recent strategic equity financing, we are seeking a Sustaining Engineer to deliver technical support to customers, build troubleshooting tools and automation, and drive ongoing product improvements.
Job Responsibility:
Deliver technical support to customers
Build troubleshooting tools and automation
Drive ongoing product improvements
Ensure reliability & performance: maintain the accuracy of business-defined data models that power critical BI and AI applications
Drive product longevity: turn customer feedback into actionable, high-impact code improvements to reduce total cost of ownership
Bridge technical gaps: act as a critical escalation point for Support and Field teams to resolve complex software defects and performance bottlenecks
Requirements:
3+ years of experience with MDX, SQL, OLAP data modeling, and designing SSAS Multi-Dimensional models
Experience with Linux and Kubernetes environments, system-level troubleshooting, and modern programming languages like Python, Go, Java, or .NET
Experience developing reporting in support of: Excel, Power BI, Tableau
Based in or able to work East Coast (ET) hours
Comfortable in fast-paced, adaptable environments
Quality-focused
Curious about using AI and automation to improve troubleshooting efficiency
Experience integrating AI agents or LLM-based clients with Model Context Protocol (MCP) servers to enable secure, governed access to enterprise data and services
What we offer:
Competitive salary + equity
Unlimited PTO and comprehensive benefits
The chance to shape the future of a global leader in AI-ready analytics
Ownership & autonomy
Innovation-first work at the intersection of AI and data
Culture of trust
Flexible, remote-friendly environment built on transparency and professional growth