Data Engineer - Risk & Compliance

Circle • San Francisco, CA

1d • $122,500 - $165,000 • Remote

About The Position

Circle is hiring a Data Engineer to build and operate data pipelines and models used by risk and compliance teams to monitor activity, screen for risk, meet regulatory reporting requirements, and produce audit-ready evidence. The role works with large-scale on-chain and internal data to create reliable, explainable, and defensible datasets. The engineer will collaborate with experienced senior and staff engineers and take on increasing ownership over time.

The position partners with product engineering, risk, compliance, data analytics, and data science teams to translate data needs into requirements, models, business logic, and pipelines. It involves developing an understanding of risk and compliance obligations, owning pipelines and models including on-call support, and delivering sources, domain models, and backfills. The role also applies data access and control requirements, builds automated solutions using SQL, Python, orchestration and transformation tools, reviews peer work, documents deliverables, and communicates progress and risks.

Requirements

• Bachelor’s degree in a quantitative or technical field, such as Computer Science, Engineering, Mathematics, Economics, or Finance, or equivalent experience.
• At least 3 years of experience building and operating production data pipelines and models.
• Proficiency in SQL and Python.
• Experience with a modern data stack, including a cloud data warehouse, an orchestrator such as Airflow, and a transformation tool such as dbt.
• Track record of independently delivering well-scoped work with high-quality, tested code and few errors.
• Clear communication and a collaborative approach, including explaining pipelines to non-technical partners.
• Strong ownership, including investigating incorrect data or pipeline failures, finding root causes, and keeping partners informed until issues are fixed.

Nice To Haves

• Experience with blockchain data, financial services, risk, compliance, banking, or other regulated industries.

Responsibilities

• Partner with product engineering, risk, compliance, data analytics, and data science teams to define data needs and translate them into requirements, models, business logic, and pipelines.
• Develop an understanding of risk and compliance obligations, including transaction monitoring, sanctions and AML screening, regulatory reporting, and audit evidence.
• Own built pipelines and models, including on-call support; maintain runbooks, add data quality checks and alerting, and address root causes of failures.
• Ingest and model large-scale data from multiple blockchains, accounting for reorgs, late or missing records, and upstream schema changes.
• Deliver new data sources, domain models, and backfills with limited supervision; escalate large or ambiguous efforts and suggest improved approaches.
• Apply access and control requirements, including authorized views and PII handling, and flag gaps.
• Build scalable automated solutions using SQL, Python, orchestration and transformation tooling, and AI.
• Review peers’ code and models, document work, and keep partners informed about progress and risks.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level