Waystar, the leading Healthcare Revenue Cycle Management (RCM) technology company, is seeking an accomplished Principal Engineer to lead the technical strategy and execution of our Data Licensing and Resale product offerings. In this highly visible individual contributor role, you will architect and optimize scalable, secure data solutions that deliver high-value licensed data products and insights to customers. You will work with complex healthcare datasets from multiple source systems and define technical standards for data ingestion, transformation, de-identification, and delivery using modern platforms such as Snowflake, Google BigQuery, and SQL-based technologies. Your deep technical expertise, product-oriented mindset, and leadership will guide cross-functional teams in building high-performance data products that meet the rigorous quality, privacy, and performance standards of Waystar’s customers. Responsibilities include leading the end-to-end technical design of data licensing infrastructure and customer-facing data products; defining and enforcing best practices for data modeling, pipeline architecture, and performance tuning on cloud platforms; serving as the technical authority for data delivery infrastructure; driving architectural decisions around scalability, security, and maintainability; designing, building, and optimizing robust production-grade pipelines; implementing secure data-sharing frameworks with strict governance, privacy, and de-identification requirements (HIPAA-compliant); overseeing integration of data from heterogeneous systems; championing quality through monitoring and validation systems; partnering with product, legal, and go-to-market teams to translate licensing agreements into technical specifications; leading creation of scalable, customer-centric data access models; architecting anonymization strategies; driving automation of data delivery pipelines using Python, SQL, dbt, and orchestration tools like Airflow; applying advanced optimization techniques; identifying and addressing performance bottlenecks; providing technical mentorship; contributing to data architecture forums; and staying current with emerging technologies. Required qualifications include a Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field; 8+ years of experience in data engineering including cloud-based architecture and external-facing data products; deep hands-on experience with Snowflake, BigQuery, SQL Server, Postgres, Python, and data pipeline orchestration tools; proven ability to design secure, scalable data systems for external data delivery and monetization; strong understanding of data licensing, governance, privacy (e.g., HIPAA), and de-identification techniques; excellent communication and stakeholder management skills. Preferred qualifications include experience in healthcare data and familiarity with revenue cycle processes; demonstrated experience building customer-facing data products or APIs; thought leadership in data architecture or engineering communities; and a track record of delivering high-impact, data-driven products that achieve measurable business outcomes.
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