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 18 employees and we're looking for a data engineer to join our data science team of 2.
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, Pandas, Scrapy or Celery frameworks a plus
- 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
- 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
- Work authorization in the United States
Please email us your resume at scgedatajobs at sequoiacap.com
Strateos(YC W15) | Back End and Front End Software Engineers, Site Reliability Engineer, Software Engineer (Scientific Tech) | Menlo Park, CA | https://strateos.com | FULL TIME; TEMP REMOTE
Strateos is turning life science into an information technology by creating a fully automated cloud wet lab. Scientists anywhere can define and (reproducibly!) run experiments over the internet on-demand and without investing up-front in a lab facility.
The Strateos Common Lab Environment (SCLE) takes Autoprotocol (http://autoprotocol.org/), a high-level JSON description of a biological protocol, and executes it on our custom-built robotic workcells. The protocols we handle routinely involve solving constraint programming models with thousands of variables and constraints in order to find the best plan that fulfills the scientist's biological intent.
Scientists manage their experiments through our web application or via our API. We provide a single platform that controls scientific devices from many vendors in a unified way, and an interface to control our automated labs.
Tech stack includes: Linux, Scala, RabbitMQ, Rails, Typescript, React, Ansible, Postgres
Benefits include: medical/dental/vision insurance; catered lunch and dinner when onsite, and a fully stocked kitchen; flexible vacation policy; 401(k) with matching; gym and commuter reimbursement; and education reimbursement up to $3,000/year.