Circle (NYSE: CRCL) is one of the world’s leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle’s platform includes the world’s largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com.

What you’ll be part of:

Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding 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 work environment where new ideas are encouraged and everyone is a stakeholder.

What you’ll be responsible for:

Circle has built its reputation on being compliant and transparent. That reputation rests on data that is right.

As a Data Engineer at Circle, you'll build and operate the pipelines and data models that our risk and compliance teams depend on to monitor activity, screen for risk, meet regulatory reporting requirements and produce evidence that stands up to scrutiny. You'll work with large-scale on-chain and internal data and turn it into datasets that people can trust, explain and defend. You'll join a team of passionate engineers who care about data reliability, learn from experienced senior and staff engineers, and take on a growing share of ownership as you go. If you pay close attention to detail, get bothered when the numbers don't tie out, are excited to learn from our expert risk and compliance partners, and want to understand how our systems really work, we would love to talk to you.

What you'll work on:

• Partner with product engineering, risk, compliance, data analytics and data science teams to understand what data they need and why, and help turn those needs into well-specified requirements, models, business logic and pipelines.
• Develop a working understanding of how the business thinks about risk and compliance obligations, such as transaction monitoring, sanctions and AML screening, regulatory reporting and audit evidence, and how our data supports each one.
• Own the pipelines and models you build, including on-call for them. Write and maintain runbooks, add data quality checks and alerting, and fix root causes rather than symptoms when something breaks.
• Work with on-chain data at scale, ingesting and modeling data from multiple blockchains and handling the realities of that data, such as reorgs, late or missing records and upstream schema changes.
• Deliver new sources, domain models and backfills with limited supervision. Escalate early on large or ambiguous efforts, and bring ideas for better approaches to your senior teammates.
• Apply access and control requirements correctly in your own work, such as authorized views and PII handling, and flag gaps you find.
• Build scalable automated solutions using SQL, Python, orchestration and transformation tooling, and AI.
• Review peers' code and models, document what you ship, and keep your partners informed on progress and risks.

You will aspire to our four core values:

• Multistakeholder - you have dedication and commitment to our customers, shareholders, employees and families and local communities.
• Mindful - you seek to be respectful, an active listener and to pay attention to detail.
• Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals.
• High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards. You reject manipulation, dishonesty and intolerance.

What you’ll bring to Circle:

• Bachelor's degree in a quantitative or technical field (Computer Science, Engineering, Mathematics, Economics, Finance or similar), or equivalent experience.
• 3+ years of experience building and operating production data pipelines and models.
• Proficiency in SQL and Python, and experience with a modern data stack: a cloud data warehouse, an orchestrator such as Airflow, and a transformation tool such as dbt.
• A track record of delivering well-scoped work independently, with high-quality, tested code and few errors.
• Clear communication and a collaborative approach, including the ability to explain to non-technical partners how the pipelines you build work.
• A strong sense of ownership: when a number looks wrong or a pipeline breaks, you dig in, find the root cause, and keep partners informed until it is fixed.
• Experience with blockchain data, financial services, risk, compliance, banking or other regulated industries is a plus, but not required.

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.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. 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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