Data Engineer (Software Developer 2)

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 +

Opportunity to contribute to a next-generation neurotechnology platform + Competitive salary and benefits + Strong mentoring and career development support, National average IT Jobs average California average

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