Data & Analytics Engineer at AgileMD

At AgileMD, we are building the most advanced real-time predictive analytics and clinical algorithms platform for hospitals. Our cloud-based engine supports and empowers the medical decisions of thousands of physicians across hospitals and clinics around the country, so that every patient receives the highest quality and value of care based on the latest medical knowledge and data.

AgileMD is headquartered in San Francisco, California.

At AgileMD, we are building the most advanced real-time predictive analytics and clinical algorithms platform for hospitals. Our cloud-based engine helps hundreds of thousands of doctors and nurses around the country make medical decisions so that every patient receives the highest quality and value of care based on the latest medical knowledge and data. We are proud to make a meaningful impact on patient outcomes every day.

AgileMD’s products integrate with the electronic medical records systems of large hospital networks and deliver highly available, robust tools. These tools ingest, transform, and analyze large amounts of patient data in real-time and make complex risk assessments and predictions. All of this is done across a distributed infrastructure that must provide high availability and adhere to the strictest security standards.

We’re looking for a data engineer / analytics engineer who thrives in ambiguity, is energized by solving hard problems, and can take ownership of turning raw data into powerful, production-grade tools that drive clinical action and business insight.

You’ll play a critical role in shaping our internal and customer-facing analytics infrastructure. In the first 6–12 months, you’ll:

• Build and own scalable, maintainable data pipelines that power insights for our clinical decision tools and AI-powered products

• Partner with product and clinical teams to build high-impact dashboards and reporting frameworks for customers and internal teams

• Execute data workflows that support customer opportunity analysis and platform usage insights

• You have strong software engineering fundamentals and 3–5+ years of experience building data pipelines, dashboards, or analytics tools

• You have deep SQL skills and experience with modern data stack tools (e.g. dbt, Airbyte, Dagster or equivalents)

• You can independently translate abstract analytical questions into technical data models and visualizations

• You can read application code and understand how events are logged and how product behaviors relate to data

• You collaborate well across teams and can speak the language of engineers, analysts, and clinical providers

• You’re curious about healthcare data—or excited to become an expert You don’t need to know all of this today, but you should be excited to work with:

• Languages: Python (required), SQL (advanced), JavaScript/TypeScript (bonus)

• Data Tools: dbt, Dagster, Airbyte, Metabase

• Data Infrastructure: AWS (EC2, EKS, S3, Data Firehose, Redshift, RDS), terraform, Kubernetes

• Work with a team that you can rely on, that constantly challenges you and that gives the tools to succeed and the responsibility to prove that you can.

• $140,000 - $180,000, 0.25% - 0.5% equity (depending on experience and skills)

• Health, dental, and vision insurance for you and your family

• Paid time off (12 holidays plus as much vacation as you need; most people take three or four weeks per year)

• Flexible parental leave (subject to state and local requirements)

• $500 per quarter for self-directed personal development (books, conference tickets, etc.)

• Join a team that is remote first and is set up for you to succeed from wherever you work. 100% of our team is remote.

• Linux (primarily Amazon Linux and Ubuntu), Kubernetes

• Node (using ExpressJS)

• React

• Postgres (Aurora), OpenSearch, Redis

• Airbyte, Dagster, Redshift, Metabase

• Additional AWS tools including EC2, EKS, ELB, RDS/Aurora, Lambda, CloudWatch, S3/CloudFront, and more.