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Stanford, CA, United States
Source: Stanford University careers · View original posting
From Stanford University's posting. “We” and “our” refer to the employer.
Analyze, design, develop, implement, modify, and maintain computer programs for administrative, business or research applications. Interface with users to define system requirements or modifications, debug, and document computer application programs to meet the needs of the user's system.
The Tolias Lab in the Department of Ophthalmology in the School of Medicine is seeking a Data Engineer (Software Developer 2) to build and maintain the data platform supporting Enigma’s experimental workflows. You will partner with scientists and engineers to turn evolving experimental requirements into clear interfaces, observable pipelines, and dependable tools. You will develop reliable systems that move raw data from data acquisition systems through ETL/ELT transformation into downstream data and metadata stores.
This role will involve data lakehouse and schema design and administration, data governance and observability, and performance optimization.
The ideal candidate enjoys owning systems end to end while working in a highly collaborative research environment.
Enigma is building the experimental and computational infrastructure needed to understand intelligence through large-scale neuroscience. Our teams work across experimental development, neurophysiology, data engineering, and machine learning to turn complex biological data into reliable, accessible scientific resources.
Within Enigma, the Experimental Development (xDev) team designs and supports neurophysiology and behavioral experiments. xDev develops the systems that connect experimental hardware and acquisition software with data processing and downstream analysis—working closely with our data infrastructure engineering and our scientific data analysis and modeling teams.
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