Principal Analytics Engineer

We believe that data is a super power to deliver great service and clinical care. You will be the analytics engineer who drives our analytic layer and makes it usable for our complex downstream data systems to consume. As a member of the data engineering team, you will work closely with many teams within the company (data science, product management, software engineering) to determine how best to prepare our data in a scalable, flexible way for complex analysis to take place. In addition to building complex data models, this position will also enforce data integrity, implement quality checks and ensure cross-team data governance across the product and technology team.

Whether you have a health care background or not, we are excited to learn from and share knowledge with you. Our leadership team includes seasoned alumni of healthcare and technology organizations spanning the public and private sector. Our co-founders deeply understand and care about good technology: Todd Park co-founded Athenahealth, a multi-billion-dollar healthcare technology company, and served as CTO of the U.S.; Ed Park was athenahealth's founding engineer and served as its CTO, COO, and President of Services.

We want a strong Analytics Engineer who can lead the charge to get the company up and running on our new BI tool, Looker. We are looking for folks who are interested in working with an exciting data infrastructure stack, which currently includes Snowflake, Airflow on Kubernetes, dbt, AWS, Jupyterhub, Amundsen, Looker, etc. We are eager to find folks who are passionate about building great technology to solve problems for users—our members, our colleagues, and ourselves.

Responsibilities will include:

Driving the design to enhance our analytics layer to allow for self-service data capabilities to a large set of data-savvy users
Coaching analysts and data scientists on analytics engineering best practices
Spearheading the implementation of data governance procedures for use in analytics
Working closely with the Data Engineering team to ensure proper tooling is in place to account for reliable data within our BI tool
Working with Product, Business Intelligence (BI) and Data Science teams to build out necessary data warehousing infrastructure in Snowflake
Bringing an analytical mindset to every conversation across the company

Attributes to success:

Experience coupled with a willingness to learn new things
Comfort with uncertainty and a desire to be close to business problems
Desire to contribute individually, with the ability both to self-direct work and to collaborate with others on the technology team
Understanding of many technologies and a desire to add more to the list

Required skills and experience:

Ability to work in a fast-paced startup environment
6+ years working as an individual technical contributor
5+ years' experience with SQL and data modeling
3+ years' experience with development in any BI tool
At least 1 year of experience with Looker
At least 1 year of experience with a data transformation tool (preferably dbt)
Experience with Cloud Data Warehouses (Snowflake, Big Query)
Experience with Python

Bonus:

Familiarity with healthcare/clinical data

Salary range: $175,000 - $185,000 per year

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