Data Engineer

4 weeks ago


Stanford, United States Stanford University Full time
Job Description

Stanford University is seeking a Data Engineer to join its team. The successful candidate will be responsible for designing and implementing data models that support specific analytic needs, providing leadership in data modeling techniques, and collaborating with researchers to ensure the timely completion of projects.

Key Responsibilities:
  • Design and implement databases and data pipelines to support the lab's research needs.
  • Develop and maintain machine learning models, including natural language processing models.
  • Train other researchers in data management, GCP, machine learning, and NLP techniques.
  • Conduct code review and ensure the quality of code developed by the lab members and research assistants.
  • Work collaboratively with researchers and other members of the lab to ensure the timely completion of projects.
  • Stay up-to-date with the latest developments in big data engineering and machine learning.
  • Ensure efficient use of Cloud Credits across projects.
  • Identify and assess potential data acquisitions.
  • Contribute to technical discussions at a big picture level and provide feedback on decisions and interpretations.
Requirements:
  • PhD, Master's degree, or Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • 5+ years of experience in software development and big data engineering.
  • Strong programming skills in Python and experience with relational databases.
  • Experience in developing and deploying machine learning models, particularly in NLP.
  • Experience with cloud computing platforms (e.g. GCP, Azure, or AWS).
  • Familiarity with distributed computing frameworks (e.g. Hadoop, Spark).
  • Good communication and collaboration skills.
  • Ability to work independently and manage multiple projects simultaneously.
Why Stanford?

Stanford University is a world-renowned institution that offers a unique opportunity to work with a talented team of researchers and engineers. The university provides a comprehensive rewards package, including a competitive salary, excellent benefits, and opportunities for career growth and development.


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