Thanks for your interest in the Data Engineer position.
Unfortunately this position has been closed but you can search our 376 open jobs by
Key qualifications:
• PhD or Master’s/Bachelor’s degree in Computer Science or related fields.
• 2-3 years of experience in designing and managing big data pipelines with a particular focus on data infrastructure engineering.
• Experience in working with real-time/high-throughput data transfers to cloud-based data storage and compute nodes (i.e. AWS).
• Expertise in modern big data tools and frameworks (e.g. Apache Spark, Airflow, and Delta Lake).
• Experience in setting up and managing large-scale data storage and compute infrastructure to support high-throughput data processing workflow
• Strong communication skills to work effectively within an interdisciplinary team constituting of varying degrees of technical skills
Preferred qualifications:
• Experience with machine learning techniques and their associated challenges for data pipeline engineering.
• A strong software engineering background for ensuring high-quality code and continuous development of data analysis pipelines in coordination with other teams
• Experience in working in a large interdisciplinary team, managing software and/or hardware infrastructure for data storage and analyses.
What we offer:
• Work on a collaborative and uniquely positioned project spanning several disciplines, from neuroscience to artificial intelligence and engineering.
• Work jointly with a vibrant team of researchers and scientists on a cutting-edge project dedicated to one mission, rooted in academia but inspired by science in industry.
• Competitive salary and benefits.
• Strong mentoring in career development.
Please complete the basic application on the Stanford Careers site, and we also ask that you send your CV and one page interest statement to: recruiting@enigmaproject.ai
The expected pay range for this position is $102,000 to $122,000 per annum.
Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors.