Nous Research
Data Engineer
Americas (US time zones) · Remote · Full-time · Posted Oct 15, 2026
- Experience
- 4+ years of data engineering experience.
About the job
Build and operate data pipelines and reliable datasets for Nous Research’s analytics and model training, including long-horizon agentic data.
What you'll do
- Build, operate, and improve production data pipelines for analytics and model training.
- Turn agentic data into structured datasets; design and evolve schemas, storage formats, and data models.
- Own production pipeline operations, including failures, reruns, backfills, and data quality.
What they ask for
- 4+ years of data engineering experience building and operating production data pipelines.
- Strong SQL, data modeling, schema design, Python, and shell skills.
- Hands-on cloud experience with object storage, batch compute, and identity and access management.
- Production experience with a workflow orchestration system; extensive use of AI-assisted development tools with disciplined review.
Nice to have
- Experience with agentic or LLM-generated data, model-training pipelines, or datasets of millions of interactions.
- Background at data infrastructure, observability, or AI data companies.
Tools
SQL, Python, Airflow, Dagster, Prefect
AI focus
Build data pipelines and datasets for model training; the role also requires extensive use of AI-assisted development tools.
Model-written summary · the original posting is authoritative