Easy Apply
Easy Apply
The Staff Software Engineer will design, build, and launch data products and capabilities, focusing on backend systems and clinical data processing, while ensuring high-quality and scalable solutions.
SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.
Role
We are looking for a data and backend-oriented Staff Software Engineer to help us advance our clinical AI by designing and building core systems that handle, process, and analyze clinical data at scale. The ideal candidate for this role has a track record of delivering complex features in incrementally valuable releases and with a high bar for quality. While this role focuses on backend systems, strong candidates are able to deliver across the stack.
**This role is fully remote within the US**
What You’ll Do
- 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
What You Bring
- 10+ 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
- Experience working with Kubernetes
- 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
Nice To Haves
- Experience with data ingestion and integration tools (e.g., Fivetran, Airbyte, Debezium).
- Experience managing data capabilities for engineering teams (e.g., eventbus, ingestion)
- Deep understanding of Kafka/Snowflake
- Experience at a scale-up, or rapid growth, technology company
- Experience in the health tech domain, particularly in hospital billing systems
Our Stack
Kafka, Python, Snowflake, Postgres, AWS, Kubernetes, Fivetran, Airflow
Compensation
- $230K to $270K base salary + equity incentives
#LI-Remote
Benefits
- Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
- Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.
- Remote-First Team – Work from anywhere in the U.S.
- Unlimited PTO & 10 Holidays – 4 of which include floating holidays so you can recognize the days that matter most to you.
- 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match.
- Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.
- Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.
Top Skills
Airflow
AWS
Fivetran
Kafka
Kubernetes
Postgres
Python
Snowflake
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