Olive’s AI workforce is built to fix our broken healthcare system by addressing healthcare’s most burdensome issues -- delivering hospitals and health systems increased revenue, reduced costs, and increased capacity. People feel lost in the system today and healthcare employees are essentially working in the dark due to outdated technology that creates a lack of shared knowledge and siloed data. Olive is designed to drive connections, shining a new light on the broken healthcare processes that stand between providers and patient care. She uses AI to reveal life-changing insights that make healthcare more efficient, affordable and effective. Olive’s vision is to unleash a trillion dollars of hidden potential within healthcare by connecting its disconnected systems. Olive is improving healthcare operations today, so everyone can benefit from a healthier industry tomorrow.

Olive is made possible by a technology platform which allows her to understand the data emanating from the work that she does and to use that data to get smarter over time. Data Engineers work with the Olive Product Management team to deliver features that allow Olive to store and process large amounts of data. They also work on developing new tools that allow our Omega teams gain insight into the work Olive is doing and deliver ever increasing value back to our customers. Our team gives Data Engineers the ability to own independent small-to-medium features all the way from technical design to launch. A successful Data Engineer will possess strong analytical as well as technical skills, and have the ability to communicate the logic behind technical decisions to non-technical stakeholders

Responsibilities:

• Collaborate with Engineers and Product Managers to design and implement features
• Ability to meet deadlines and satisfy requirements from other Engineers and Product Management
• Peer review and code review participation to provide valuable feedback during every step of the development process
• Quickly produce well-organized, optimized, and documented code
• Communicate effectively and efficiently across all divisions including with the business, technical teams, and leaders
• Take technical ownership of tasks and successfully work independently
• Demonstrate the ability to become a domain expert in projects

• Bachelor’s in Computer Science, Computer Engineering, or relevant equivalent experience
• 4+ years of relevant programming experience
• Hands-on experience working data pipelines and data architecture
• AWS experience preferred (S3, Glue, RDS, EMR, Athena/Presto DB, IAM)
• History of designing and delivering software solutions to real world problems across a variety of technology stacks and programming languages with deep experience in several modern programming languages (e.g. JavaScript, Python, Go, JVM based languages)
• Experienced in the development of highly maintainable and reliable code using practices such as unit testing, integration testing, proper code documentation, and appropriate logging
• Strong communication, critical thinking, and problem solving skills
• Demonstrated understanding of fundamentals engineering concepts
• Knowledge of software and application design and architecture
• Experience writing and reviewing detailed Technical Design Documents (TDDs) is a plus