What you'll be responsible for: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.What you'll work on: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.Developing integrations with third party systems to source, qualify and ingest various datasets.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.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: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 workflow orchestration management engines such as Airflow, Dagster, DBT, etcExperience 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.Ability to tackle complex and ambiguous problems.Self-starter who takes ownership, gets results, and enjoys moving at a fast pace.Excellent communication skills, able to collaborate with across remote teams, share ideas and present concepts effectively.Additional Information:This position is eligible for day-one PERM sponsorship for qualified candidates.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.Base Pay Range: $147,500 - $195,000Annual Bonus Target: 12.5%Also Included: Equity & Benefits (including medical, dental, vision and 401(k)). Circle has a discretionary vacation policy. We also provide 10 days of paid sick leave per year and 11 paid holidays per year in the U.S.
