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Director, Data Engineering - San Francisco

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.


What you will do
  • Lead and grow the data team in our San Francisco office, ensuring a high-performing data function that supports PayZen’s mission.
  • Develop and execute a comprehensive data strategy, integrating with Flywire, EpicHealth, Peach, major hospitals, and other key healthcare providers.
  • Oversee data architecture, pipelines, and governance to ensure accuracy, security, and compliance with healthcare regulations (e.g., HIPAA, PCI-DSS) and financial services compliance related to patient payment information, personally identifiable information (PII), and PayZen-provided credit card data.
  • Build and scale data platforms that enable real-time and batch processing of patient payment data across multiple healthcare providers.
  • Deliver business intelligence and predictive analytics to drive decision-making for leadership and improve patient financial outcomes.
  • Collaborate closely with Product, Engineering, and Operations to ensure data-driven insights power key business decisions.
  • Establish KPIs and performance metrics to measure impact and inform strategy.
  • Ensure scalability of data infrastructure to support business growth and regulatory compliance.


What you will bring
  • 8+ years of experience in data leadership roles, preferably within healthcare, fintech, or payments industries.
  • Hands-on experience with SQL, Python, or other programming languages for data processing and analytics.
  • Expertise in data architecture, engineering, and analytics, with experience in modern cloud and data stack technologies (e.g., Snowflake, Redshift, Databricks, dbt, Airflow, Kafka, KPI metrics, reporting. Sigma, etc.).
  • An understanding of healthcare payment ecosystems and experience integrating with systems like EpicHealth, Flywire, Peach, and major hospitals and healthcare providers is definitely a plus.
  • Experience in machine learning and predictive analytics applied to financial or healthcare data is also a plus.
  • Knowledge of regulatory and security frameworks relevant to healthcare data and financial services compliance, including protections around patient payment information and credit card security.
  • Excellent communication and stakeholder management skills, with the ability to translate complex data insights into business impact.
  • A strategic mindset with the ability to execute and deliver measurable results in a fast-paced environment.
  • Passion for driving impact through data and analytics in the healthcare and fintech space.


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


$256,400 - $301,600 a year
Market competitive salary with an anticipated base compensation range of $256,400 - $301,600. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. Full-time employees are also eligible for a competitive equity package, and benefits.

Average salary estimate

$279000 / YEARLY (est.)
min
max
$256400K
$301600K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Director, Data Engineering - San Francisco, Payzen Inc.

Join PayZen as the Director of Data Engineering in the vibrant city of San Francisco! At PayZen, we're on a mission to ensure financial health for patients navigating the healthcare system. In this exciting role, you will lead and expand our dedicated data team, helping to shape our strategic data initiatives. Your expertise will guide us in developing a comprehensive data strategy that integrates seamlessly with renowned healthcare providers like Flywire and EpicHealth. You'll oversee critical aspects of data architecture, pipelines, and governance while ensuring we comply with essential healthcare regulations. As you build scalable data platforms, you'll empower our team with real-time business intelligence and predictive analytics that enhance decision-making for our leaders and improve patient financial outcomes. With over eight years of experience in data leadership, preferably within healthcare or fintech, you should possess hands-on skills in SQL and Python, as well as knowledge of modern data technologies like Snowflake and Kafka. At PayZen, not only will you have the incredible opportunity to impact the lives of countless patients, but you’ll also work in a collaborative high-performing environment with the potential for growth. We offer competitive compensation, generous benefits, and a chance to be part of a revolutionary product that is reshaping medical payments. If you are passionate about using data to drive substantial change in healthcare, we would love to hear from you!

Frequently Asked Questions (FAQs) for Director, Data Engineering - San Francisco Role at Payzen Inc.
What are the key responsibilities of the Director of Data Engineering at PayZen?

The Director of Data Engineering at PayZen will lead the data team, develop and execute a comprehensive data strategy that integrates with major healthcare providers, oversee data governance and architecture, and deliver business intelligence solutions to drive decision-making. This role is crucial for ensuring compliance with healthcare regulations while building scalable data platforms.

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What qualifications are required for the Director of Data Engineering position at PayZen?

Candidates for the Director of Data Engineering at PayZen should have at least 8 years of experience in data leadership roles, preferably in healthcare, fintech, or payments industries. A strong background in SQL, Python, and familiarity with data architectures and technologies like Snowflake and Kafka are essential. Additionally, knowledge of regulatory frameworks regarding healthcare data is beneficial.

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How does PayZen support career growth for the Director of Data Engineering?

At PayZen, we believe in investing in our employees' growth. The Director of Data Engineering position offers opportunities for professional development through collaboration with key teams, exposure to innovative data tools, and participation in shaping our overall data strategy, allowing for personal and career advancement.

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What technologies will the Director of Data Engineering use at PayZen?

The Director of Data Engineering at PayZen will work with modern cloud and data stack technologies including Snowflake, Redshift, Databricks, and Airflow. Familiarity with scripting languages like SQL and Python will also be pivotal in this role for data processing and analytics.

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What is the salary range for the Director of Data Engineering at PayZen?

The salary range for the Director of Data Engineering at PayZen is competitive, between $256,400 and $301,600 annually. Actual salaries will depend on the candidate’s experience and qualifications, along with a competitive equity package and benefits.

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Common Interview Questions for Director, Data Engineering - San Francisco
Can you describe your experience with data architecture and engineering?

In answering this question, share specific projects you've undertaken that highlight your skills in designing and implementing data pipelines and architectures. Discuss any tools and technologies you've used, and focus on quantifying your impact through improved data accessibility or analytics.

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How do you ensure compliance with healthcare regulations in your data projects?

When addressing compliance, illustrate your approach to understanding and adhering to relevant regulations like HIPAA and PCI-DSS. Mention strategies you employ such as conducting regular audits, ensuring secure data handling, and fostering a culture of compliance within your team.

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What strategies do you use to foster teamwork within a data engineering team?

Highlight the importance of collaboration and communication among team members. Discuss how you’ve facilitated brainstorming sessions, encouraged knowledge sharing, and implemented agile methodologies to ensure that every team member feels valued and motivated.

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How do you approach delivering business intelligence insights?

Discuss your methodology in transforming raw data into actionable business intelligence. Emphasize the importance of understanding business needs and aligning your analytics to drive strategic decisions, supported by examples from past experiences where your insights led to significant outcomes.

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Can you provide an example of a challenging data project you managed?

Choose a specific project where you faced significant obstacles, such as tight deadlines or complex stakeholder requirements. Explain your problem-solving process and the steps you took to eventually deliver successful results, showcasing your leadership skills.

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What experience do you have with machine learning and predictive analytics?

Describe any relevant experience you have with machine learning models and their applications in financial or healthcare data. Share your approach to selecting the right algorithms, and any successful outcomes that resulted from utilizing predictive analytics.

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How do you stay updated with the latest trends in data engineering?

Mention specific resources you utilize to remain informed, such as industry publications, conferences, and online courses. Emphasize your commitment to continuous learning and how you apply new knowledge to enhance your team's practices or projects.

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How do you measure the success of data engineering initiatives?

Talk about KPIs and performance metrics you have established in the past to gauge the effectiveness of data engineering projects. Highlight how you analyze these metrics to inform future strategies and continuously improve your team’s output.

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What is your experience working with cross-functional teams?

Provide examples from your past roles where collaboration with other departments was necessary. Discuss how you facilitated communication and understanding among teams to ensure alignment on data-related objectives.

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What are your strategies for scalability in data infrastructure?

Discuss your perspective on building a scalable data infrastructure that can grow with the business. Focus on technologies and best practices you've implemented in previous roles that ensured your data platforms remain adaptable and efficient as business needs evolve.

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PayZen is a healthcare fintech startup that aims to tackle the growing patient payment responsibility problem. The mission-driven company together with its superior technology and a new approach enables patients to pay their out-of-pocket medical ...

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Full-time, on-site
DATE POSTED
March 26, 2025

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