Senior Data Engineer (DataOps)
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 this 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.
-- Work with a team of data scientists and engineers to build scalable, end-to-end data science solutions
-- Build robust data and machine learning pipelines on AWS
-- Use infrastructure as code to automate and govern infrastructure requirements
-- Build analytics tools that utilize the data pipelines to provide meaningful insights into data
-- Turn complex algorithms and prediction models into reliable production-grade systems
-- Provide thought leadership in long-term data management and tooling needs
-- Participate 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 in Linux, Python, and Bash
-- Experience with container orchestration using Kubernetes
-- 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 with matching
-- Dogs in the office!
-- Catered lunches on Mondays
-- Unlimited PTO (and we actually take vacations!)
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