Senior Data Engineer

🔍 School of Medicine, Stanford, California, United States

📁: Academic

📅   : Aug 26, 2024 Post Date

📅   : 104382 Requisition #

Thanks for your interest in the Senior Data Engineer position. Unfortunately this position has been closed but you can search our 265 open jobs by clicking here.

Key qualifications:

• PhD or Master’s degree in Computer Science or related fields.

• At least 5 years of experience in designing or running big data pipelines with a particular focus on data infrastructure engineering.

• Detailed knowledge and experience in working with state-of-the-art big data tools and frameworks (e.g. Apache Spark, Airflow, Delta Lake, or similar).

• Strong expertise in setting up and managing large-scale data and compute infrastructure to support high-throughput data processing.

• Strong software engineering background for ensuring high-quality code and continuous development of data analysis pipelines in coordination with other teams.

• Excellent communication skills to work effectively within an interdisciplinary team constituting varying degrees of technical skills

Preferred qualifications:

• Experience with machine learning techniques and their associated challenges for data pipeline engineering

• Experience in leading a team in 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 in a 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 through Stanford Careers, and we request that you also send your CV and one page interest statement to: recruiting@enigmaproject.ai

The expected pay range for this position is $132,000 to $165,000 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.

Additional Information