AI infrastructure with on-demand GPUs and serverless compute. Run training, inference, and batch workloads on the cloud with Runpod. Backed by AI Grant.
About the role
Own the design, implementation, and operation of data pipelines end to end: batch and near-real-time streaming ingestion into Snowflake, bronze-to-silver transforms in dbt, and the orchestration and infrastructure that support them. Build well-documented, high-quality data products that are modeled, tested, and easy to understand, and that analytics, finance, and engineering teams rely on for critical decisions.
What they're looking for
- 5+ years of professional software engineering experience, with at least 3 years focused on data engineering in modern cloud environments
- Strong Python and advanced SQL, applied with an engineer's discipline: code that is tested, reviewed, and built to be maintained. Fluency in other languages is a plus (e.g. Go, Rust, Scala)
- Experience building and operating orchestrated pipelines (Dagster, Airflow, or similar) and analytics engineering with dbt or equivalent
- A track record of owning systems in production: monitoring, incident response, and the follow-through to leave things better than you found them
- Demonstrated ability to use AI tools to improve the speed and quality of your work, with critical evaluation and verification of AI-assisted output
- Excellent written communication. On a small distributed team working with agents, clear documentation is how decisions propagate
More about this role
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.
We practice software engineering for data . Pipelines are code with tests, CI/CD, and infrastructure-as-code behind them. Schema changes flow through automated migration tooling. Data quality is an engineered property of the system, not a dashboard someone checks. As a Senior Data Engineer, you will own ingestion pipelines end to end, from source system to warehouse to modeled, well-documented data...
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