Senior Software Engineer, Data Platform

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.

Engineering at Circle:

In 2020, Circle unveiled Circle APIs: a set of solutions and smarter technology to help businesses accept payments in a more global, scalable and efficient alternative to traditional banking rails (spoiler: we're using USD Coin under the hood).

In 2021, Circle launched Circle Yield, Circle Account, and Verite to help our users earn, manage, and secure their funds.  We built foundational industry partnerships which grew USDC market cap by 10x+. To broaden the utility of USDC, we also added support for digital dollars on 6 new blockchains: SOL, XLM, HBAR, TRX, AVAX, FLOW.

Over the next year, we will continue to grow USD Coin and the Circle API platform to become the #1 US dollar stablecoin of the world by building, scaling and partnering with both web2 and web3 ecosystems. Expect to see product announcements and launches for L1, L2, DEFI, and Identity solutions!

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.

Here is our team hierarchy for individual contributors:

Senior Software Engineer (III)

Staff Software Engineer (IV)

Your team is responsible for:

As a member of the Data Platform Engineering team, you own the core Big Data/ML platform, data ingestion, processing and serving, ETL/ELT pipelines, data governance and security compliances, data analytics and visualization tooling, data modeling and data warehouse that powers our Product, Engineering, Analytics, and Data Science teams for experimentation, operational excellence, and actionable insights, so as to fuel and accelerate business growth. 

You'll work on:

• Work across functional teams on the design, deployment and continuous improvement of the scalable data platform that ingests, stores, and aggregates various datasets, including data pipelines, platforms, and warehouses, and surfacing data to both internal and customer-facing applications.
• Be a subject matter expert on data warehousing, data modeling, data pipelines, data quality.
• Design, build and maintain the data processing framework to source the required data  for various data analysis and reporting needs, as well as to continually improve the operations, monitoring and performance of the data warehouse.
• Develop integrations with third party systems to source, qualify and ingest various datasets.
• Provide data analytics and visualization tools to extract valuable insights from the data to  enable data-driven decisions.
• Provide ML data platform capabilities for data science teams to perform data preparation, model training and management, and run experiments.
• Work closely with cross-functional groups and stakeholders, such as the product, engineering, data science, security and compliance teams, for data modeling, general data life cycle management, data governance and processes for meeting regula