Data Engineer - Risk & Compliance

Overview

Build and operate the data pipelines and models that Circle's risk and compliance teams rely on to monitor activity, screen for risk, meet regulatory reporting requirements, and produce audit evidence.

What you'll do

• Partner with product engineering, risk, compliance, data analytics and data science teams to understand their data needs and turn them into well-specified requirements, models, business logic and pipelines.
• Develop a working understanding of how the business thinks about risk and compliance obligations, such as transaction monitoring, sanctions and AML screening, regulatory reporting and audit evidence, and how the data supports each one.
• Own the pipelines and models you build, including on-call for them.
• Write and maintain runbooks, add data quality checks and alerting, and fix root causes rather than symptoms when something breaks.
• Work with on-chain data at scale, ingesting and modeling data from multiple blockchains and handling reorgs, late or missing records and upstream schema changes.
• Deliver new sources, domain models and backfills with limited supervision.
• Escalate early on large or ambiguous efforts, and bring ideas for better approaches to senior teammates.
• Apply access and control requirements correctly in your own work, such as authorized views and PII handling, and flag gaps you find.
• Build scalable automated solutions using SQL, Python, orchestration and transformation tooling, and AI.
• Review peers' code and models, document what you ship, and keep partners informed on progress and risks.

What you'll need

• Bachelor's degree in a quantitative or technical field (Computer Science, Engineering, Mathematics, Economics, Finance or similar), or equivalent experience.
• 3+ years of experience building and operating production data pipelines and models.
• Proficiency in SQL and Python.
• Experience with a modern data stack: a cloud data warehouse, an orchestrator such as Airflow, and a transformation tool such as dbt.
• A track record of delivering well-scoped work independently, with high-quality, tested code and few errors.
• Clear communication and a collaborative approach, including the ability to explain to non-technical partners how the pipelines you build work.
• A strong sense of ownership: when a number looks wrong or a pipeline breaks, you dig in, find the root cause, and keep partners informed until it is fixed.

Nice to have

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

Details

• Location: San Francisco, remote first in the US.
• Base pay range: $122,500 - $165,000.