We’re the best way to get better.

 

At Boston-based Buoy, you can join a work-from-wherever team that empowers people to choose the best care for their health needs. Developed out of the Harvard Innovation Labs by a team of doctors and data scientists, Buoy leverages its AI to understand peoples’ symptoms and then guide them to relevant care options within Buoy’s care marketplace, where people are free to select the option that feels best for their situation. Buoy also works with employers, health plans, and health solutions to simplify and streamline accessing covered care options.

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 engineering team 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. 

Responsibilities:

• Provide technical and professional mentorship to Data Engineers, helping to shape their careers at Buoy and beyond
• Role model Buoy’s core values
• Hands-on in building cloud-based data warehousing environments, data processing pipelines, and data models that support a variety of product and 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:

• 1-3 years of experience managing an engineering team
• 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 implementing ETL and job scheduling or orchestration using tools like Airflow
• 5+ years programming experience, familiarity with Python, AWS, and Git
• Proficiency with SQL including one or more relational databases like MySQL, MariaDB, Oracle, Postgres, or similar
• Excellent communication
Bonus Points for the following experience:
• 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 Testing
• Experience with machine learning
• Proficiency with Kubernetes or infrastructure-as-code via Terraform

Benefits:

• Medical, dental, and vision
• 401k with company match
• Stock options
• Generous unlimited vacation policy
• L&D reimbursement policy
• Work from Wherever—Buoy is remote first, with employees located across the US
• Time off for major holidays, including the last two weeks of the year
• End your work day at 2 p.m. every Friday! 

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