# Senior Data Engineer at Runpod

- Company: Runpod
- What the company does: AI infrastructure with on-demand GPUs and serverless compute. Run training, inference, and batch workloads on the cloud with Runpod. Backed by AI Grant.
- Company website: https://www.runpod.io/
- Type: Startups (AI role)
- Level: Senior
- Location: Remote - USA
- Work setup: Remote
- Posted: 2026-08-14
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/runpod/a63e8c2f-a319-4655-8179-b024a45db782
- Page: https://www.1752.vc/careers/jobs/runpod-senior-data-engineer/

## 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

Tags: Engineering