Python ML Engineer

Bachelor’s degree, or equivalent, in Computer Science, Data Engineering, or related field
One (1) year of Software Engineering, Data Engineering, or related experience
Experience developing, building, integrating, and maintaining software applications for healthcare products
Experience setting up physical data models, including database configurations
Experience creating and implementing procedures to validate, process, and refine project datasets
Experience transmitting data utilizing SQL Server platform
Experience performing ad hoc analyses against data load validation databases and production databases
Experience executing data conversion processes for data translations and integrations from third-party platforms
Experience developing ETL pipelines utilizing Python and deploying them to AWS applications
Experience importing raw text and XML data receipts into table structures
Proficiency in Python, Lambda, and SQL

Build and develop custom software for parsing and extracting healthcare information
Transform raw data into meaningful information using Python and visualization software
Extract and analyze information from large structured and unstructured datasets
Apply feature selection algorithms to models predicting outcomes for healthcare use
Build Hedis Quality Measure parsers
Work with the Clinical Support Team in ongoing work including regression testing, feature development, and product roadmap planning
Analyze, manipulate, or process large sets of data using statistical software
Participate in agile software team including daily scrum meetings, sprint planning, backlog refinement, retro, and review
Perform pair programming, peer reviews, and utilize best practices
Analyze data to identify business problems and recommend data-driven solutions
Interpret and report data findings
Utilize tools and technologies including Python, S3, Lambda, RDS, DynamoDB, SQL, and APIs

No preferred qualifications provided.