AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our platform helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology.
Requirements
- 8+ years in data engineering with significant data platform/operations ownership
- Solid experience with data storage systems, data modeling and cloud computing
- Experience with batch processing of data at scale (>100s of Terrabytes)
- Familiarity with the GCP, BigQuery, dbt and Dagster data stack
- Familiarity with healthcare domain and data
Responsibilities
- Design resilient and well-modeled data layers with clear interfaces and versioning
- Improve data quality at scale, build modular and reusable packages and instrument pipelines for rich telemetry
- Identify scalability problems and constraints in our products, and proactively work to improve them
- Drive and introduce initiatives across our data team to improve developer experience and develop new data capabilities
- Create and maintain the most reliable, secure, performant and high throughput service for our customers by using cutting-edge cloud technology
- build and scale AcuityMD’s data assets and you will extend our data platform capabilities
- build highly instrumented and automated data pipelines to obtain new data, improve the quality and performance of existing data assets, and architect a scalable platform that improves the development of our data products
Other
- Strong ownership, collaboration and communication skills
- You must have an eligible work permit in the USA or Canada to be considered for this position.
- Remote work
- Flexible PTO
- Ground floor opportunity
