Sequoia Capital Global Equities | Data Engineer | Menlo Park, CA | Full time | Remote or On-Site
We're an investment fund affiliated with Sequoia Capital that invests primarily in the publicly traded equity securities of companies in the technology, media, and telecommunications ("TMT") sectors. We have 15 employees and we're looking for a data engineer to join our data science team of two.
Responsibilities will include:
- Assist in the maintenance of existing data infrastructure
- Contribute to the development of new projects where data collection may be required
- Work with two data scientists to learn how to extract data and signals from large data sets
- Identify high potential new data sources and develop creative solutions to add value to the fund's investment research process
Qualifications
Three or more years of development or DevOps experience. Our ideal candidate would possess:
- Strong programming skills in Python, with experience in Django, Scrapy or Celery frameworks a plus
- Strong experience with Amazon Web Services, both in managing servers and processing large data sets
- Detailed understanding of and experience working with relational databases, especially PostgreSQL
- Strong communication skills and ability to work as part of a team and to work independently
- Machine learning experience preferred but not required. Strong analytical skill set with experience working with large, structured or unstructured, data sets
- Technical degree from a leading university in a quantitative field such as Computer Science, Math, Statistics, Physics or Engineering
- Interest in learning about technology investing and building skills in the nascent data science industry for hedge funds
- Financial services experience a plus, but not required
Please email us your resume at REDACTED_EMAIL
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