Lead Data Engineer

The Lead Data Engineer at Stanford University is an integral part of the team that will be responsible for developing, testing, and implementing data-driven solutions to support our research and development efforts in data science and analytics. This role requires a highly-motivated, experienced, and technical individual with a passion for data engineering. The successful candidate must have a strong background in data engineering, data analysis, data modeling, and software engineering, as well as a proven track record of successful project management. In addition, they must possess excellent problem-solving skills, be able to work both independently and collaboratively, and possess excellent communication and organizational skills. If you are looking for an opportunity to utilize your technical and analytical skills to make a difference at a world-renowned university, this position is for you.

According to JobzMall, the average salary range for a Lead Data Engineer in Stanford, CA, USA is $150,000 to $215,000 per year. This range is affected by factors such as the size of the company, the complexity of the data engineering project, the number of years of experience, and the specific skills required.

Stanford University, officially Leland Stanford Junior University, is a private research university in Stanford, California. Stanford is known for its academic achievements, wealth, location within Silicon Valley, and selectivity; it ranks as one of the world's top universities. Stanford University is a place of learning, discovery, expression and innovation. Founded in 1885, Stanford’s areas of excellence span seven schools along with research institutes, the arts and athletics. Stanford’s faculty, staff and students work to improve the health and wellbeing of people around the world through the discovery and application of knowledge.