Data Engineer – Risk & Compliance

Job not on LinkedIn

🔥 1 minute ago

💵 $122.5k - $165k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on Circle's careers page, not through a job board

First seen by Remote Rocketship 1 minute ago

Logo of Circle

Circle

501 - 1000 employees

💳 Fintech

₿ Crypto

🌐 Web 3

Fintech • Crypto • Web 3

Circle is a financial technology company that focuses on utilizing blockchain technology to enable seamless, faster and secure transactions. Their main product, USDC, is a stablecoin designed to provide stability by being fully reserved and redeemable 1:1 for US dollars, and is widely used in global transactions to facilitate cross-border payments, crypto capital markets, and global dollar access. Circle offers an open developer platform that allows businesses to integrate blockchain functionalities such as programmable wallets and smart contracts into their applications. The company is committed to transparency and publishes regular reports on their reserve holdings.

📋 Description

• Build and operate pipelines and data models for risk and compliance teams • Produce datasets for activity monitoring, risk screening, regulatory reporting and audit evidence • Partner with product engineering, risk, compliance, data analytics and data science teams to define data requirements, models, business logic and pipelines • Develop understanding of transaction monitoring, sanctions and AML screening, regulatory reporting and audit evidence • Own pipelines and models, including on-call responsibilities • Write and maintain runbooks, add data quality checks and alerting, and resolve root causes • Ingest and model large-scale on-chain data from multiple blockchains, handling reorgs, late or missing records and schema changes • Deliver new sources, domain models and backfills with limited supervision • Apply access and control requirements, including authorized views and PII handling • Build scalable automated solutions using SQL, Python, orchestration, transformation tooling and AI • Review peers' code and models, document deliverables, and communicate progress and risks

🎯 Requirements

• 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 • Track record of delivering well-scoped work independently, with high-quality, tested code and few errors • Clear communication and a collaborative approach, including explaining pipelines to non-technical partners • Strong sense of ownership and ability to find root causes of data or pipeline issues • Experience with blockchain data, financial services, risk, compliance, banking or other regulated industries is a plus, but not required

🏖️ Benefits

• Flexible work environment • Remote-first work arrangement in the US • Inclusive financial future and equal opportunity employment • Interview accommodations and assistance for candidates with disabilities

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