About Us

Ready is an on-demand mobile health service that delivers non-emergency care directly to patients. To accomplish this, Ready sends a trained health professional, which we call a “Responder,” to facilitate a telehealth visit between the patient and a licensed clinician.

With Ready, patients now have access to quality care in their homes, 12 hours a day, 365 days a year, and talented individuals are provided the opportunity to work with a rapidly growing, mission-driven company. We hope you will join us.

About The Opportunity

The Ready Data team is a cornerstone of the medical care provided at Ready. Our team is responsible for ingesting, processing and leveraging internal data as well as medical data from large established healthcare providers to government agencies seeking to support underserved populations. We build custom data and ML-powered tools that enable Ready’s operational efficiency and improve the quality of care we deliver to our patients. We have an ambitious plan to improve and extend our batch and real-time systems that drive our internal data products and external reporting capabilities. We are looking for a Data Engineer to build this future with us. 

About the Role

The Data team creates systems to centralize all of Ready Responder's internal and external data, and enables stakeholders to easily transform and access that data for analytics and machine learning through powerful APIs. As a Data Engineer, you will contribute to a number of our systems and deliverables, from scalable data pipelines to frameworks, tools and applications that make that data available to other teams and systems.

What You'll Do

• Collaborate with data scientists, engineers, and stakeholders company-wide to solve high-impact healthcare problems by deploying solutions within production systems
• Work with broader Product organization to identify data, application, and reporting needed to support business initiatives and clinical service lines
• Develop, maintain and test architecture for data ingestion, processing and analysis
• Support existing processes running in production and implement optimized solutions

What You’ll Need

• Bachelor’s degree (BA or BS) or equivalent
• Experience with SQL, ETL, data modeling and at least one programming language (preferably Python)
• Not afraid to wrangle messy data
• Excitement and dedication to working in an evolving healthcare industry

Nice to Have

• Advanced degree in a STEM field
• Experience with Javascript/Typescript, Node.js, or Go
• Experience building data pipelines in workflow management platforms (e.g. Airflow, Luigi, etc)
• Experience with infrastructure as code (e.g. Terraform, Ansible, CloudFormation)
• Experience in healthcare or other highly regulated industry