SmarterDx is looking to solve the problem of achieving 100% chart accuracy for revenue integrity in hospitals by building clinical AI systems that help hospitals recover millions in earned revenue and improve quality of care scores.
Requirements
- 5+ years of development experience with a focus on cloud-based solutions
- Expertise in Python
- Experience working with data platform solutions such as Snowflake, DataBricks, Redshift, or ClickHouse
- Experience working with Postgres or a similar relational database
- Hands-on experience with eventing solutions such as Kafka, NATS, or SQS
- Experience building cloud-native distributed systems and working with event-driven architectures
- Experience with data-pipelines
Responsibilities
- Design, build and launch new data products, capabilities and data pipelines
- Develop and maintain streaming and ingestion capabilities using technologies like Kafka, NATS, and SQS to ensure reliable data movement
- Partner with other engineering and data teams to provide foundational backend and data infrastructure that accelerates their ability to deliver features and insights
- Build scalable and secure for accessing clinical data at scale
- Optimize and evolve our platform capabilities (e.g., event bus, ingestion frameworks, data storage patterns) to support future product growth
- Contribute to engineering standards, system design reviews, and best practices around eventing, pipelines, and cloud-native systems
Other
- Experience working with product managers to plan, build, and iterate on deliverables
- Experience working in a security-conscious environment
- Excellent communication and team collaboration skills
- Bachelor’s or Master’s in Computer Science, Engineering, or a related field, or equivalent experience
