Senior Analytics Engineer

| Greater Boston Area
Mission
We create technology with heart for the health of every person in the world.
About Buoy Health
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.
About the role
The Analytics Engineer will work across different areas including data engineering, analytics, and business intelligence. The Analytics Engineer is responsible for managing data warehousing environments, building ETL/ELT pipelines and job orchestration frameworks, constructing complex business logic and data models, supporting business intelligence, 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 analytics engineer can expect to work closely with business analysts, data scientists, machine learning engineers, and developers to help build our data warehouse, ETL pipelines, and data models. We are currently building our data analytics ecosystem from the ground up, and our company and datasets are growing rapidly - so the analytics engineer will also have the opportunity to inform the design, implementation, and best practices or this system.
Responsibilities
-- Support 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
-- Embed business logic and data models into business intelligence tools for easy consumption by end users
About you
-- 2+ years of relevant experience with data engineering and warehousing technologies like Snowflake, Amazon Redshift, S3, Athena, EMR, and Hadoop/Hive/Spark
-- Proficient in SQL including one or more warehouses or relational databases like Snowflake, MySQL, MariaDB, Oracle, Postgres, or similar
-- Experience with ETL and job scheduling or orchestration using tools like Apache Airflow
-- Programming experience and familiarity with Python, AWS, and Git
-- Excellent communication and ability to work on a growing team
Bonus points if you have
-- Experience with web-scale data or working with healthcare data in a HIPAA-compliant environment
-- Experience with data modeling and BI tools like Looker
-- Experience with the Snowflake data warehouse, or with similar technologies in AWS
-- Experience with ETL orchestration frameworks like Apache Airflow
-- Experience with AB Testing
-- Experience with machine learning
Benefits
-- Stock Options
-- Unlimited PTO
-- Medical, Dental, Vision
-- 401k
-- Dogs in the office!
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Technology we use

  • Engineering
    • PythonLanguages
    • ReactLibraries
    • DjangoFrameworks

Location

Located in Boston's South End, Buoy is situated within walking distance of plenty of bars, gyms and restaurants, the T and provides parking onsite.

What are Buoy Health Perks + Benefits

Culture
Volunteer in local community
Friends outside of work
Eat lunch together
Daily stand up
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Pair programming
Open office floor plan
Diversity
Documented equal pay policy
Highly diverse management team
Health Insurance & Wellness Benefits
Dental Benefits
Vision Benefits
Health Insurance Benefits
Team workouts
Retirement & Stock Options Benefits
401(K) Matching
Company Equity
Performance Bonus
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Acme Co. provides employees with a flexible work schedule that includes Flexible start and end times.
Vacation & Time Off Benefits
Unlimited Vacation Policy
Paid Holidays
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Acme Co. hosts company outings Quarterly.
Free Daily Meals
Stocked Kitchen
Happy Hours
Happy hours are hosted Once per month.
Parking
We offer employees A parking subsidy.
Pet Friendly
Acme Co.'s pet policy is dog friendly daily.
Fitness Subsidies
Professional Development Benefits
Job Training & Conferences
Acme Co. offers employees professional development opportunities like Annual individual budget for training, Onsite training courses.
Lunch and learns
Acme Co. hosts lunch and learn meetings weekly.
Cross functional training encouraged
Paid industry certifications
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