Senior Data Engineer
Core
Architect and build robust data-quality frameworks and high-throughput production data pipelines to power fraud detection, AML, and transaction-monitoring decision engines.
Role type
Senior hands-on IC data engineer (fraud/AML domain)
Builds
Production data pipelines, data-quality frameworks, and deployment workflows for fraud and transaction-monitoring rules
Domain
Financial services (FinTech), Fraud Detection, Anti-Money Laundering (AML), Transaction Monitoring
Deliverable
production ML models | product features
Required skills
Python, data engineering, production pipeline development, fraud detection, AML, transaction monitoring, data quality frameworks
Preferred skills
Airflow, SQL, PostgreSQL, Google BigQuery, hybrid cloud environments (AWS, GCP), modern engineering workflows, AI-assisted development
Technologies
Python, Airflow, SQL, PostgreSQL, Google BigQuery, AWS, GCP, Linear, GitHub, Notion, Slack, Claude Code, GitHub Copilot
Responsibilities
Architect data-quality frameworks for decision engines; Design and maintain high-throughput production data pipelines; Build infrastructure for rapid deployment of fraud rules; Apply domain knowledge to production workflows; Share engineering patterns and best practices
Seniority
Senior, hands-on IC
