Senior Data Engineer - Finance

Circle hires a Senior Data Engineer to own data pipelines and models used by product, treasury, finance, accounting, and compliance teams. The role builds reliable, explainable datasets and systems that support business operations, reporting, and regulatory requirements.

Responsibilities:

• Partner with product engineering, finance, accounting, treasury, data analytics, and compliance teams to understand how new products and regulations will affect the data we need, and work with them to design the data requirements, models, business logic and pipelines that let us track and verify that we are meeting our obligations
• Develop a strong understanding of how the business thinks about its money and its customers' balances, including custody, reserves and reconciliation, and partner with those teams to make the inner workings of our data transparent
• Build the frameworks and systems that help us see when something might be going wrong, such as reconciliation, data quality checks, and alerting. Lead the charge to fix the immediate problem, then design solutions that keep it from happening again
• 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
• Work with analytics and data science colleagues, and with the teams that consume your data, to make sure what you ship is documented, trustworthy and fits how it will be used. Reframe requests into better data products and push back early when a request isn't well scoped
• Build scalable automated solutions using SQL, Python, orchestration and transformation tooling, and AI
• Review code, models and designs, and mentor junior engineers
• Occasionally share your work with larger audiences to educate them on the inner workings of our data and financial systems

Requirements:

• Bachelor's degree in a quantitative or technical field (Computer Science, Engineering, Mathematics, Economics, Finance or similar), or equivalent experience
• 6+ 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
• Experience owning a data domain end to end and being the person partners come to when something breaks or needs to change
• Strong communication skills and the ability to explain clearly to non-technical audiences how the systems you own and design work
• Strong collaboration skills that allow you to make sure that product engineering, data, finance, accounting, treasury and compliance are all on the same page about requirements and expectations
• A strong sense of ownership and accountability: when a number looks wrong or a pipeline breaks, you take the lead in triaging it, investigating the root cause and driving it to resolution, and you keep cross-functional partners informed until it is fixed
• Experience with blockchain data, financial services, banking or other regulated industries is a plus, but not required