Data Engineer

About Pay Zen

Pay Zen is on a mission to bring financial health to healthcare. Our products improve both access and affordability for patients and cash flow & administrative complexity for medical providers. We are trusted by a rapidly growing number of health systems, hospitals, and physician groups and are backed by leading venture capital investors, including NEA, Signal Fire, Viola Group, and 7

Wire Ventures.

Pay Zen is seeking a Staff Data Engineer to develop and oversee scalable Fin Tech data solutions. In this role you’ll be responsible for evolving and implementing Pay Zen’s data architecture and platform strategy—including owning the technical direction for the data domain, setting standards and best practices, and driving scalable, reliable data systems that support product, analytics, and business decisions across the company.

• Design and implement scalable, reliable data architectures (data warehouse, data lake/lakehouse, hybrid) and data models (e.g., dimensional, normalized, semantic layers) that support current and future product and analytics needs.
• Drive data best practices, patterns, and governance (e.g., data quality, test automation, alerting/monitoring, lineage, documentation) across the organization.
• Improve data pipelines, orchestration, and tooling so data is accessible, accurate, complete, and performant for cross-functional consumers.
• Work with product, engineering, and business leaders to make data accessible for AI/ML, analytics, supporting clear, actionable insights and reliable foundations for decision-making and customer-facing products.
• Guide and mentor other data engineers; contribute to hiring, leveling, and technical development of the data engineering function.

• 8+ years of experience in data engineering or related roles, with a track record of owning and delivering reliable, performant data platforms and services.
• Strong grasp of concepts and methods for capturing, transforming, testing, and storing data assets in a cloud-native environment; demonstrated ability to make sound design choices, evangelize solutions, and drive implementation and adoption of a modern data architecture.
• Experience solving complex data problems using SQL and Python; familiarity with Pandas, Spark, CTEs, window functions, or other data-focused libraries.
• Experience designing and evolving data models (e.g., star/snowflake schemas, normalized models, data marts, semantic layers) and driving consistency and reusability across analytics and product use cases.
• Prior experience in healthcare or Fin Tech, and familiarity with HIPAA, PHI, or financial data compliance and security practices, is a plus.

• An opportunity to positively affect the lives of thousands of patients
• A chance to join a high-growth company at an early stage.
• Contribute to the development of a product that revolutionizes medical payments in ways never seen before.
• Become a key member of a collaborative, high performing team, shaping its growth and success.
• Competitive pay, benefits and stock options.