Senior Software Engineer, Data Infrastructure
Ro- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor’s degree in Computer Science or Software Engineering, along with a minimum of 3 years of experience in software engineering or data engineering. Proficiency in Python and SQL is required, alongside experience with cloud computing platforms, particularly AWS. Demonstrated knowledge of software development fundamentals and the software development lifecycle is essential.
As a Software Engineer on the Data Platform team, you will build and maintain data pipelines to support Machine Learning model training and scalable customer deployments, directly contribute to product development through in-app dashboarding, and enable Analytics and Data Science efforts by developing core Data Platform infrastructure and tooling. You will also work with a tech stack including Python, Postgres, Redshift, Prefect, Kubernetes, Grafana, and various AWS services, exploring new technologies and growing your technical skillset while maintaining a delivery focused mindset.
Automates revenue cycle management processes
AKASA offers technology solutions that enhance efficiency and revenue outcomes for healthcare organizations by using a mix of computer vision-based Robotic Process Automation (RPA), machine learning, and human-in-the-loop automation. Their services streamline complex Revenue Cycle Management (RCM) workflows, allowing healthcare staff to focus on more meaningful tasks. Unlike competitors, AKASA specifically targets operational inefficiencies in revenue cycle departments, helping clients like Methodist Health System achieve significant gross yield increases. The company's goal is to empower healthcare organizations to improve their operational efficiency and patient experience.