Description
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, for hybrid office work in Tel Aviv, Israel, 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. When joining PayZen on this growth stage, it is hard to overstate the impact you’ll have on our product and company trajectory.
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 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
What we offer
- An opportunity to positively affect the lives of thousands of patients
- A flexible lifestyle that fits the modern work-life balance
- A chance to join a high-growth company at an early stage
- Highly skilled co-workers with whom you can grow your skill set
- Be a part of a team that revolutionizes medical payments in ways never seen before
- The ability to impact company values and culture in a collaborative environment - we value all comments and suggestions
- Competitive pay and stock options
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