Buoy Health
Boston
51-200 employees
AI-driven digital assistant that helps people self-diagnose and get the right care at the right time.
Other Open Roles
Prior Listings
Senior Data Engineer
Senior Data Engineer
This job is no longer open
Job to be done:
We’re the best way to get better.
About Buoy Health:
Buoy is a Boston-based digital health company that uses AI technology to provide personalized clinical support the moment an individual has a health concern. Developed out of the Harvard Innovation Labs by a team of doctors and data scientists, Buoy navigates people through the healthcare system intelligently, delivering triage at scale, and connecting them with the right care endpoints at the right time based on self-reported symptoms.
About the Role:
Buoy is taking on the multi-faceted challenge of applying Artificial Intelligence to medicine and developing novel interfaces and algorithms to reason about the relationship between humans, symptoms, and illnesses.
The Data Engineering team is responsible for deploying and maintaining data warehousing environments, managing ETL/ELT pipelines and job orchestration frameworks, and ensuring data quality. The charter of the data engineering and analytics team is to promote a data driven culture throughout the company, and to make high quality data broadly accessible and easy to work with for analysis, data science, and machine learning. The data engineer can expect to work closely with business analysts, data scientists, machine learning engineers, and developers to build upon our data warehouse, ETL pipelines, and data models.
We are looking for an experienced Data Engineer to join a newly established collaborative engineering team dedicated to improving our core infrastructure, establishing a scalable architecture, and helping to build better tooling and automation for the engineering teams across the organization. A strong candidate will have a passion for solving healthcare-related problems, be able to contribute to a variety of different projects and will excel at communicating with both technical and non-technical members of the team.
Responsibilities:
- Build cloud-based data warehousing environments, data processing pipelines, and data models that support a variety of business needs
- Support a variety of data processing pipelines, integrate new data sources into our data warehouse, and create jobs to load, transform, and QA vital datasets
- Work with data scientists, analysts, and developers in the product development process to ensure that newly designed data models meet analytics requirements and follow best practices
- Share your expertise on scalable data processing with analysts and data scientists to further our goal of being a truly data driven organization
About You:
- 5+ years of experience as a data engineer using data warehousing technologies like Snowflake, Amazon Redshift, S3, Athena, EMR, and Hadoop/Hive/Spark
- 5+ years' experience with ETL and job scheduling or orchestration using tools like Airflow
- 5+ years programming experience with Python, AWS, and Git
- Proficiency with SQL including one or more relational databases like MySQL, MariaDB, Oracle, Postgres, or similar
- Excellent communication and ability to work on a growing team
Bonus Points:
- Experience with web-scale data or working with healthcare data in a HIPAA-compliant environment
- Experience with Looker for business intelligence, and Snowflake for data warehousing
- Experience with A/B TestingExperience with machine learning
- Proficiency with Kubernetes or infrastructure-as-code via Terraform.
Why Buoy?
- A growing team where your input counts.
- Remote first, with people in every timezone in the US.
- Great work/life balance. Have a doctor's appointment? Need to pick up your kids? No problem!
- Want to learn something new? Buoy prioritizes learning and development opportunities for all, providing an annual L&D budget for all team members and building time into the calendar for innovation.
- Unlimited Vacation. Real unlimited vacation, not “unlimited vacation but you can’t ever get approved”. Managers actively encourage their supports to take a minimum of 3 weeks of vacation time.
- Days off for all the major holidays including the last 2 weeks of the year.
- Plans for Friday evening? Or traveling for the weekend? Get an early start, we’re done at 2 p.m. every Friday.
- Medical/Dental/Vision, 401k match, and so much more!
Equal Opportunity Employer Statement:
At Buoy, we are united by our commitment in guiding people to the right care. And we believe it takes a workforce that nurtures difference to get the job done. Buoy champions inclusion. We encourage applicants of all ages, races, ethnicities, colors, national origins, genders, gender identities and gender presentations, sexual orientations, disabilities, veteran status, and other characteristics that make a person unique. We are proud to be an equal -- opportunity employer, and to be a part of a team that prioritizes diverse points of view.
**This role is located in the United States. Unfortunately, we are unable to support international applicants at this time
This job is no longer open