Jobs via eFinancialCareers
Senior Data Engineer, Web3
Jobs via eFinancialCareers, Seattle, Washington, us, 98127
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.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:Circle simplifies Web3 with a suite of developer tools designed to help build apps fast. Our APIs and SDKs help developers bring their ideas to market quickly without compromising security or reliability. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.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 lifecycle, 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 web3 and blockchain protocols.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.
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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 lifecycle, 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 web3 and blockchain protocols.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.
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