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 expert on data modeling, data pipelines, data quality and data warehousing of financial data.

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 Data Engineer (II)

• 2+ years of professional data engineering experience.
• Proficient in one or more programming languages (Java, Scala, Python).
• Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
• Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etc
• Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc).
• Experience with financial data, bonus if in similar business domains, such as payment systems, credit cards, bank transfers, blockchains, etc.
• Internal knowledge of open source or related big data technologies.
• Ability to learn quickly & deliver on medium-complexity projects
• 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:  $120,000 - $162,500

Annual Bonus Target: 10%

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.