Data Engineer, Encounters Intelligence

AcuityMD is a high-growth AI and Data company that accelerates access to medical technologies. The Data Engineer will lead the evolution of core healthcare data assets, build new data products, and improve existing ones while working cross-functionally with various teams.

Responsibilities:

• Transform , model, and integrate raw data of varying quality from a wide range of data sources into usable, documented and high quality data and intelligence products by applying data modeling and statistical techniques
• Identify, research, and develop new statistical approaches and new types of data to improve and extend our core healthcare data products
• Lead feature and product development cycles from defining Customer problem statements through to delivering solutions
• Work directly with product managers and cross-functional stakeholders to influence and build our Product development plans and roadmap
• Provide thought leadership on data science techniques and mentoring to junior data engineers
• Document and communicate technical and quantitative concepts, schemas, and data product usage guidelines with appropriate levels of detail for internal and external stakeholders

Requirements:

• 4+ years of experience working in a data science or similar role, delivering analytic models as Data Products or Data Solutions
• Professional experience working with time series, geospatial, and/or demographic datasets to make forecasts or predictions
• Excited by extracting signals and information from messy, real-world datasets
• Ability to translate and explain technical requirements, recommendations and code clearly and concisely for non-technical audiences
• Opinionated about statistical techniques or Python libraries
• Familiarity across our data stack - BigQuery, Google Cloud Storage, dbt & Dagster
• Familiarity with insurance billing and other healthcare datasets
• Familiarity with incorporating large language models into development workflows