Data Engineer, Financial Data

Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems. This ground-breaking new internet layer opens up previously unimaginable possibilities for payments, commerce and markets that can help raise global economic prosperity and enhance inclusion. 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 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: Multistakeholder, Mindfulness, Driven by Excellence and High Integrity. Circlers are consistently evolving in a remote world where strength in numbers fuels team success. 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 member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. Your work powers Circle business functions, including the Finance, Accounting, and Analytics teams for operational excellence and actionable insights, so as to fuel and accelerate business growth. In this role, you will reshape how data moves across the company. High integrity to data accuracy and quality is crucial. Your work will directly impact Circle’s transparency, trust, and accountability needs.

What you'll work on:

• Working closely across groups, particularly product, engineering, analytics, and accounting teams to design and manage scalable data life cycles of new and existing products.
• Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs.
• Surfacing data to both internal and customer-facing applications for analytical, financial, and regulatory purposes.
• Developing integrations with third party systems to source and/or distribute various datasets.
• Continually improve the operations, monitoring and performance of the data warehouse.
• Re-thinking how data is stored and processed today, within data platforms and outside among Circle business teams and external applications.
• Collaborating on the design, deployment and continuous improvement of a scalable data platform that ingests, stores, and aggregates various datasets.
• Being a domain …