Analytics Engineer

Our Mission

Healthie is backed by leading investors, and while we've $42M raised to date, more importantly, we operate with fiscal responsibility and have been profitable for more than half of our time as a company. We know that building an ONC-Certified EHR is a lifetime’s body of work, and we are here to build for our customers forever.

Learn more at https://www.gethealthie.com/

About the role

We're hiring an Analytics Engineer to join our data team and help build and scale the data systems that transform how both our team and healthcare organizations understand their impact, from internal product metrics to customer-facing insights on patient engagement and care outcomes across our platform serving thousands of organizations.

You'll design, build, and extend the analytics models behind our core data products, turning complex healthcare data into tested, documented datasets that internal stakeholders and external customers rely on. You'll own major sections of our data model and support engineering, product, and customer success teams to derive the reporting and insights they need. You'll also gather requirements from stakeholders, translate them into data models, and keep the documentation behind Visualize, our analytics and reporting platform, current and easy to use.

This role puts you at the center of enabling data-driven decisions across Healthie and the healthcare organizations we serve. Your systems will help our internal teams optimize product development and business operations, while empowering external providers to track meaningful health outcomes, understand patient engagement, and streamline their care delivery, ultimately improving healthcare experiences for millions of patients nationwide.

About you

• You have 4+ years in data as an analytics engineer, data engineer, analyst, or similar, with strong SQL skills
• You have experience designing, building, and extending dimensional data models (Kimball or similar)
• You have experience working with a large-scale (1B+ rows) cloud data warehouse, preferably Snowflake
• You write production dbt code and apply software engineering practices to it, including version control, code review, and CI
• You write data tests and contribute to the monitoring and observability practices that keep our analytics systems reliable
• You have experience building reports and dashboards in a BI tool such as Metabase
• You plan your own work, breaking projects into tasks, milestones, and deliverables
• Knowledge of Python or Ruby for data processing and automation is a plus
• You prioritize data quality, privacy, and compliance, building systems that meet healthcare standards like HIPAA
• You communicate clearly and collaborate effectively across technical and non-technical teams, including external customers
• Experience with healthcare data, PostgreSQL, or building customer-facing data products is a plus

Details, details

• This is a full-time, remote position located within the United States.
• U.S. work authorization is required, Healthie does not provide sponsorship.
• The base salary for this position is $155,000 - $185,000.

Interview Process

• Quick chat with someone from our Talent team (15 min)
• Hiring Manager Interview with Ani, Director of Engineering (30 minutes)
• Complete our Take Home Assessment (asynchronous)
• Interview with Lexie DeGrandchamp, Senior Analytics Engineer and Eliza Stone, Senior Data Analyst (45 minutes)
• Final session with Cavan, CTO + cofounder (30 minutes)
• Reference Checks