Data Platform Software Engineer, AKASA

• BS in Computer Science/Software Engineering, or similar
• 3+ years of software engineering or data engineering experience
• Professional experience in Python and SQL
• Cloud computing experience (AWS preferably)
• Demonstrable knowledge of software development fundamentals and experience across the software development lifecycle
• A delivery focused mindset
• A passion and excitement about healthcare’s unique challenges and opportunities

Desirable

• The Data Platform team at AKASA is a deeply cross-functional team, consisting of engineering, analytics, and data science roles
• The team collaborates closely with most teams throughout the organization, including but not limited to; Product, Core Platform Engineering, Machine Learning, and Customer Engagement
• As a Software Engineer on the Data Platform team, you will support Machine Learning’s efforts to train in-house models via custom data pipeline development, directly contribute to product development through in-app dashboarding, and enable Analytics and Data Science efforts by developing core Data Platform infrastructure and tooling
• Work with a tech stack including but not limited to: Python, Postgres, Redshift, Prefect, Kubernetes, Grafana, and various additional AWS services such as SQS and Cloudwatch
• Build new and maintain existing data pipelines to support Machine Learning model training and scalable customer deployments
• Support Analytics and Data Science initiatives via building and maintaining core Data Platform infrastructure and tooling
• Contribute directly to product development via maintaining in-app dashboarding infrastructure
• Explore new technologies and grow your technical skillset