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# Data Engineer (Software Developer 2)

- **Company:** Stanford University
- **Location:** Palo Alto, CA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon S3, C++ (Programming Language), Extract Transform Load (ETL), Python (Programming Language), NoSQL, Standard Sql, Scientific Computating, SQL Databases, Management of Software Versions, Workflow Management Systems, Ceph (Software), Agentic-AI, Kubernetes, Data Lineage, Build Tools, Data Pipelines, Docker
- **Published:** October 27, 2026
- **Apply:** https://www.adzuna.com/details/5911431661

## About the Role

performance across the data stack, and lead troubleshooting/incident response when things break + Build tools with and to help researchers and our in-house AI agents discover datasets, inspect processing state, and safely diagnose or rerun failed jobs + Productionize research code - testing, packaging, deployment, monitoring, documentation + Partner with data acquisition, infrastructure engineering, scientific analysis and AI modeling teams. **Preferred Qualifications:** + Strong proficiency in Python and SQL + Experience with relational and NoSQL databases, as well as object storage (e.g., S3, MinIO, Ceph) + Experience designing, building, and operating production ETL/ELT pipelines + Experience designing durable data models and schemas for complex, evolving datasets + Experience building high-throughput ingestion systems and optimizing data movement across storage, compute, and network boundaries + Experience with Docker and container orchestration platforms such as Kubernetes +
Strong communication skills and experience working in cross-functional teams + Experience designing APIs or service interfaces used by multiple teams + Experience with scientific computing and large-scale neuroscience or other scientific data + Workflow orchestration experience with Airflow, Dagster, Prefect, or similar tools + Experience in building pipelines with and for autonomous, agentic AI systems + Experience with performance-critical compiled or systems languages (C, C++, or Rust) + Familiarity with data provenance and lineage tracking, metadata catalogs, or dataset versioning **As part of your application, please submit the following** **two separate attachments** : 1. **Cover Letter -** Please provide a cover letter describing your interest in joining our lab and the position. 2. **Technical Experience Responses -** In a separate document, please answer each of the questions below in a few sentences. Please upload your responses as a single, separate
attachment to your application. 1. Please describe your experience working with SQL and NoSQL databases. 2. Please describe you experience operating ETL/ELT data pipelines. 3. Please describe your experience with orchestration tooling such as Kubernetes and Ray. **You'll Thrive in This Role If You:** + Are excited by a fast-paced, production-focused research environment that often requires switching between many hats + Can move quickly without sacrificing rigor + Care about making complex workflows reliable and easy to use + Enjoy translating ambiguous research needs into pragmatic technical systems + Take ownership across design, implementation, deployment, and operations + Enjoy collaborative design and working closely across team boundaries + Are energized by working as part of a cohesive team pursuing ambitious, long-term neuroscientific and AI goals **What We Offer:** + A highly collaborative environment across neuroscience, engineering, and AI +