Analytics Engineer

Our Mission

Healthie is an AI-Native, ONC Certified EHR for modern outpatient healthcare. 

Healthie is proud to power clinically excellent healthcare for over 40,000 providers who deliver clinically excellent healthcare - longitudinal and collaboratively, with patient and provider experiences at the center. Both healthcare and technology are undergoing unparalleled industry innovation, and it’s incredible to see the momentum - from consumers, from providers, and from reimbursement for this type of healthcare - grow exponentially. 

We provide the powerful infrastructure every care delivery organization needs. On the surface this includes EHR, Scheduling, Engagement, Billing, Data, and much more. Underneath the iceberg are thousands of configurations, settings, widgets, automations, and limitless capabilities because we are an API-first platform. Our fully brandable platform makes it easy for clinics and organizations of any size to scale and never reach a limit. 

Today, over 3 billion API calls are made to Healthie every month, as thousands of organizations who work with more than 21 million patients in total, rely on Healthie to deliver clinically excellent healthcare in over 35 specialties, from behavioral healthcare to complex chronic care management and personalized medicine.

We believe in the power of technology to improve access to healthcare and we’re building the rails that make this a reality. We work fast and with quality because we provide business-critical, healthcare-critical software that clinicians and patients need for a better healthcare system. We’re customer-obsessed, operate with lightning-fast processes and responses, and always share our product roadmap publicly-  so customers can see what we’re building, and remain relentlessly focused on how care gets delivered.

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

Learn more at gethealthie.com/careers.

Healthie is subject to HIPAA and other security and privacy frameworks, and this job entails training and conformance to expectations regarding security and compliance.

Healthie participates in e-verify.

Healthie is committed to equal employment opportunity. All qualified applicants will receive consideration for employment without regard to and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. We're proud to be building a diverse and inclusive environment that encourages collaboration, creativity, and growth. Whatever your background, please apply if this is a role that would make you excited to come into work every day.