Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers. We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale. As a Senior Data Engineer, you will be tasked with designing and implementing robust data solutions that support scalable analytics and data-driven decision-making across the company. You will be instrumental in maintaining the tools and technologies that form the backbone of our data capabilities. This role requires a proactive person motivated to build an efficient, scalable, and secure data ecosystem. You will collaborate with and have solid cross-functional partnerships with all teams, from Engineering to Analytics to Finance. We use tools like Dagster and dbt to orchestrate data pipelines and define workflows between Planetscale, Tinybird, and Snowflake.
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Job Type
Full-time
Career Level
Senior