At Devoted Health, we’re on a mission to dramatically improve the health and well-being of older Americans by caring for every person like family. That’s why we’re gathering smart, diverse, and big-hearted people to create a new kind of all-in-one healthcare company — one that combines compassion, health insurance, clinical care, service, and technology - to deliver a complete and integrated healthcare solution that delivers high quality care that everyone would want for someone they love. Founded in 2017, we've grown fast and now serve members across the United States.  And we've just started. So join us on this mission!

Job Description

Why Devoted:

Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.

A bit about this role:

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

#LI-BC1

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

Our Total Rewards package includes:

• Employer sponsored health, dental and vision plan with low or no premium

• Generous paid time off

• $100 monthly mobile or internet stipend

• Stock options for all employees

• Bonus or commission eligibility for all roles

• Parental leave program

• 401K program

• And more....

*Our total rewards package is for full time employees only. Intern and Contract positions are not eligible.

The salary and/or hourly range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, years of relevant experience, education, credentials, budget and internal equity).

Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.

As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.