Responsibilities:
Own our data ETL pipelines
Investigate, prototype, and validate new analytics systems
Optimize our analytics systems for performance, cost, and availability
Design and implement new data analytics systems using top-notch software engineering practices
Work closely with our Data Scientists to deliver dashboards, insights, and data pipelines to clients
Requirements:
Background in quantitative fields (Computer Science, Engineering, Math, Physics)
You’re a strong analytical thinker and coder. Think ACM-ICPC, IOI, and IPSC.
You’re a great software engineer who writes modular, extensible, well-designed systems.
You have solid experience with Python and SQL.
You value learning, personal growth, teamwork, and excelling at what you do.
All your information will be kept confidential according to EEO guidelines.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Our small engineering team is changing the way healthcare decisions are made. We’re building new products and solutions that allow patients and medical researchers to unlock the power of new datasets. We validate the economic and clinical utility of new digital health technologies and enable regular people to participate in finding the best tools to help make managing health just a little easier for everyone. Our Software Engineering team is using cutting edge technologies like Ruby on Rails, MySQL, PostgreSQL, RabbitMQ, and Semaphore. We need best-in-class Software Engineers to help us build new products and scale our existing offerings to the world. This position is based in Menlo Park, CA.