Senior Data Engineer
Greater Boston Area
We create technology, with heart, for the health of every person in the world.
Buoy builds a digital health tool that helps people – from the moment they get sick – start their health care on the right foot. Started by a team of doctors and computer scientists working at the Harvard Innovation Laboratory in Boston MA, Buoy was developed in direct response to the downward spiral we’ve all faced when we attempt to self-diagnose our symptoms online. Buoy leverages artificial intelligence – powered by advanced machine learning and proprietary granular data - to resemble an exchange you would have with your favorite doctor – to provide consumers with a real-time, accurate analysis of their symptoms and help them easily and quickly embark on the right path to getting better. Buoy is based in Boston and was founded in 2014.
Buoy is taking on the multi-faceted challenge of applying Artificial Intelligence to fix the front door of health care and empower patients to make better health care decisions. Through the process of helping users learn more about their symptoms on the Buoy Health website, we collect a variety of data from tens of thousands of users every day. We are looking for a candidate who can help us organize, collect, store, and provide value to people with these data. Buoy is rapidly expanding the number of people that use such data to make decisions every day and we need someone who can support those efforts. A successful candidate will make an impact by raising efficiency across the team and making the process of turning data into useful information seamless and effective.
Design and develop tools and systems to enable teams to consume and analyze dataSupport data scientists and analysts in understanding such toolsTurn complex algorithms and prediction models into reliable production-grade systemsProvide thought leadership in long-term data management and tooling needsParticipate in strategic discussions on the development of Buoy AI
B.S. degree in mathematics, statistics, computer science or a similar quantitative field
3+ years of experience building cloud-based data platforms with AWS services including: S3, Lambda, RDS, Data-pipeline and others.
Proficiency with system architecture and design patterns and best practices
History of creating data tools for analytics and data science teams
Experience with designing data warehouse technical architectures
Expertise in distributed systems and data processing methods
Experience with Python and the PyData ecosystem
Advanced degree in mathematics, statistics, computer science, or a similar quantitative field
Proficiency with Linux and bash scripting
Experience building data pipelines in the cloud under the constraints of HIPAA
Experience in productionalizing machine learning and analytics workloads
- Healthcare, Dental & Vision
- Simple IRA
- Dogs in the office!
- Catered lunches on Mondays
- Unlimited PTO (and we actually take vacations!!)
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