Julie Xin
About Julie Xin
Julie Xin is a Senior Data Engineer currently working at Segment in San Francisco, California. She has a background in data engineering and finance, with previous roles at Intuitive Surgical, Capital One, and Adaptive Insights.
Current Role as Senior Data Engineer
Julie Xin currently serves as a Senior Data Engineer at Segment, a position she has held since 2022. In this role, she is responsible for designing and implementing data solutions that enhance the company's data infrastructure. Her work focuses on optimizing data processing and ensuring data integrity, contributing to the overall efficiency of Segment's operations. The position is based in San Francisco, California.
Previous Experience at Segment
Prior to her current role, Julie Xin worked at Segment as a Data Engineer from 2021 to 2022. During this time, she contributed to various data engineering projects that supported the company's analytics and data management efforts. Her experience at Segment laid the foundation for her advancement to a senior position.
Internship Experience
Julie Xin has accumulated diverse internship experience throughout her career. In 2015, she interned at Adaptive Insights as an Enterprise Applications (Finance) Intern for three months. In 2016, she worked as an Investment Middle Office Intern at Hartford Investment Management Co. for two months. Additionally, she completed a three-month internship at Intuitive Surgical in 2017 as an FP&A Intern in Product Operations.
Career Development at Capital One
Julie Xin's career includes significant experience at Capital One, where she held multiple roles. She began as an Associate Data Engineer from 2018 to 2019, then advanced to Senior Associate Data Engineer from 2019 to 2020. Her work at Capital One involved developing data solutions that supported financial services and analytics.
Education and Academic Background
Julie Xin studied at the University of California, Berkeley, where she earned a Bachelor of Arts in Economics from 2014 to 2017. Her academic background provided her with a strong foundation in economic principles and analytical skills, which she has applied throughout her professional career in data engineering.