Data Analytics Engineer

Summary

Join Voltage Park, a cloud provider offering transparent GPU access, as a Data Analytics Engineer. You will build and maintain customer-facing and internal tools to enhance customer experience (CX) operations. Key responsibilities include designing downtime tracking solutions, integrating observability systems with billing, developing a customer-facing status page, and architecting data analysis systems. You will partner with internal teams to improve data insights and streamline workflows. This role requires strong analytical skills, 5+ years of relevant experience, proficiency in SQL and Python, and a technical bachelor's degree.

Requirements

• Strong analytical skills with the ability to translate complex requirements into scalable solutions
• 5+ years of experience in Data Engineer, Software Engineer, Analytics Engineer or Sr Data Analyst roles
• Demonstrated track record of shipping end-to-end product features, applications, internal tools, and scripts
• Highly proficient in SQL and experience working with time-series databases (e.g. InfluxDB)
• Highly proficient with real-time metrics ingestion, e.g. Prometheus
• Intermediate to advanced experience in Python or other object-oriented programming languages
• General cloud computing proficiency, such as knowledge of compute resources, databases, disk, networking, logging, alerting especially as it pertains to clouds such as AWS
• Track record of shipping products with API integrations and webhook-based data ingestion
• Customer-Focused, Scrappy Mindset: you put the customer first and focus on “done, not perfect” when delivering solutions
• Technical bachelor’s degree (computer science, information technology, analytics, or similar) that equips you to intersect business intuition with technical skills

Responsibilities

• Design and build a downtime tracking solution across our clusters that provides actionable insights for both customers and the CX team
• Integrate observability systems with billing and invoicing to automate downtime reconciliation processes
• Develop, deploy, and maintain a customer-facing status page to provide real-time updates on system performance and incidents
• Architect and maintain systems to aggregate and analyze data from diverse GPU infrastructure sources, including - but not limited to - temperature, power usage, Infiniband, hardware and GPU statistics, and network metrics
• Partner with internal teams to design datasets that accurately reflect business metrics
• Build a granular resolution time tracking system using webhooks and internal data pipelines to accurately measure customer interaction metrics
• Partner with CX, DC Operations, and Engineering teams to solve tooling gaps and streamline workflows to improve the overall customer experience