Senior Data Engineer
PayZen
Data Science
San Francisco, CA, USA
Posted on Feb 11, 2025
About PayZen
PayZen 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, SignalFire, Viola Group, and 7Wire Ventures.
PayZen is seeking a savvy Senior Data Engineer, based in the United States, for hybrid office work in San Francisco, California, to develop and oversee scalable FinTech software solutions. You’ll be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
What you will do
- Collaborate with product managers and other stakeholders to build groundbreaking user-centric products that change people’s lives.
- Develop an infrastructure to collect, transform, combine, and publish/distribute data.
- Expand and optimize our data and data pipeline architecture, ensuring efficient data flow and collection for cross-functional teams.
- Ensure data and results are accessible, scalable, efficient, accurate, and complete.
- Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders.
- Develop automated data quality checks to ensure the right data enters the platform and verify the accuracy of calculations.
What you will bring
- 6+ years of experience working in SQL.
- 6+ years of experience programming in one of the following - Python, Java, Scala.
- Experience working with cloud platforms, specifically AWS to build and optimize scalable data solutions.
- Experience designing, building, and managing data pipelines and workflow orchestration tools such as Apache Airflow, UC4-Automic, Luigi, Talend, or similar.
- Proficiency with big data technologies including Hadoop, Spark, NoSQL databases, and Kafka to support scalable data processing and real-time analytics.
- Strong analytical skills and experience working with BI tools such as Amazon QuickSight, Sigma, Tableau, or equivalent to drive data insights and visualization.
- Strong interpersonal and communication skills.
Why Payzen?
- 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.