Staff Software Engineer, Data Platform

Remote Full-time
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. SmarterDx builds clinical AI that empowers hospitals to achieve 100% chart accuracy for revenue integrity. Our solution helps hospitals tell the most accurate and complete story of the patient and the care that was delivered, which helps them recover millions in earned revenue and improve quality of care scores. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers. • *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 90-100% of your premiums and 70-90% for dependents, depending on the plan. • One Medical Membership – Free membership included if you enroll in a SmarterDx medical plan. • Paid Parental Leave – Up to 12 weeks of paid leave for birth or adoption. • Remote-First Team – Work from anywhere in the U.S. with a $400 home office reimbursement stipend. • Unlimited PTO & 10 Holidays – 4 of which include floating holidays so you can recognize the days that matter most to you. • Learning & Development Budget – $500 per year (prorated) for courses, books, and resources to expand your skills. • 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Empower. • 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. Apply tot his job
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