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 current ideas are encouraged and everyone is a stakeholder.

As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain. This will help inform how USDC moves around chains, where it is being held, what use cases it powers and identify future opportunities.

Collaborating with business 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.

Being a domain expert on data modeling, data pipelines, data quality and data warehousing.

Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs, as well as to continually improve the operations, monitoring and performance of the data warehouse.

Enabling data analytics and visualization tools to extract valuable insights from the data to enable data-driven decisions.

Working closely across groups, such as the product, engineering, data science, and external partners for data modeling, general management of data life cycle, data governance and processes for meeting regulatory and legal requirements.

Multistakeholder - you have dedication and commitment to our customers, shareholders, employees and families and local communities.





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.

For Senior Data

Engineer (III)

4+ years of professional data engineering experience.

Proficient in one or more programming languages (Java, Scala, Python).

Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.

Experience in SQL and NoSQL, such as MySQL, PostgreSQL, Cassandra, HBase, Redis, DynamoDB, Neo4j, etc.

Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc).

Experience in building scalable infrastructure to support batch, micro-batch or stream data processing for large volumes of data.

Experience with financial or compliance data, bonus if in similar business domains, such as payment systems, credit cards, bank transfers, blockchains, etc.

Experience in data provenance and governance.

Internal knowledge of open source or related big data technologies.

Excellent communication skills, able to collaborate with across remote teams, share ideas and present concepts effectively.

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. #

📌 Data Engineering Position | REMOTE | Analytics (Toronto)
🏢 Circle
📍 Toronto