Manager, Data Engineering

Overview

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Circle is a financial technology company at the epicenter of the emerging internet of money, where value can travel globally, nearly instantly and with lower cost than legacy settlement systems. Our infrastructure – including USDC, a blockchain-based dollar – helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology.

What You'll Be Part Of

Circle is committed to visibility and stability in everything we do. As we grow, we expand into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible and diverse work environment where new ideas are encouraged and everyone is a stakeholder.

What You'll Be Responsible For

As a Data Engineering Manager, you will lead and represent a team of data engineers, driving execution at a high level while fostering a culture of trust, empathy, and technical excellence. You will own the data warehouse and pipelines that power blockchain analytics and reporting, ensuring they are reliable, scalable, and impactful. Your leadership will enable Circle's product, analytics, and operational teams to generate actionable insights, make informed decisions, and fuel business growth. In addition to managing and mentoring the team, you will serve as a strong technical leader — capable of executing hands-on when needed, providing architectural guidance, and setting the vision for data engineering at Circle.

What You'll Work On

• Lead, mentor, and grow a team of data engineers, supporting their career development and ensuring high-quality, timely delivery.
• Partner with data analysts, data scientists, and cross-functional stakeholders to deliver trustworthy, actionable data for decision-making.
• Serve as a hands-on technical leader by participating in code reviews, design reviews, and architectural decisions.
• Drive the long-term vision for Circle's data engineering practices, balancing innovation with operational excellence.
• Explore and leverage AI-driven approaches to improve development efficiency and modernize workflows.
• Become a domain expert in blockchain and / or financial data.
• Design scalable data models and establish robust metadata practices to improve data accessibility and discoverability.

What You'll Bring To Circle

Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages. Starting pay is determined by various factors, including but not limited to : relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.

Base salary range : $182,500 - $240,000

We are an equal opportunity employer and value diversity at Circle. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.

Should you require accommodations or assistance in our interview process because of a disability, please reach out to accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.

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