Data Analytics Engineer

Voltage Park is on a mission to make machine learning infrastructure accessible to all, from large enterprises and research universities to seed-stage startups and nonprofits. Providing seamless access to compute with pricing and inventory transparency is the future of access to GPUs, and we are the only cloud provider offering a platform that shows all available GPUs with transparent, market-based pricing, in addition to long-term reserve contracts for our customers. 

We are seeking a Data Analytics Engineer to build, maintain, and optimize customer-facing and internal tools that enhance our Customer Experience (CX) operations and empower our customers. You will play a key role in reducing manual work, improving data insights, and delivering a seamless experience for our customers.

Note: this role is in-person and you must be based in the San Francisco Bay Area to apply. We are not able to provide sponsorship for this position.

What You’ll Do

• 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

Who You Are

• 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

Voltage Park is an equal opportunity employer and makes employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. If you require an accommodation during the job application process, please notify your recruiter. 

Compensation Range: $165K - $215K