Data Engineer

About Bureau
Bureau is a unified risk decisioning platform serving Compliance, Fraud, and Transaction risks globally. Our single decision-making engine leverages an identity knowledge graph with over 1 billion entities. Over 150 banks, fintechs, retailers, and digital platforms utilize our solution to verify identities rapidly and mitigate fraud early worldwide.

We have raised $50M+ from top-tier Silicon Valley investors like Sorenson Capital and PayPal Ventures and are scaling operations across APAC, Americas, Europe, and beyond.

Why Bureau
Our mission is to build the infrastructure ensuring digital identities and transactions remain safe and trustworthy for billions. We hire individuals ready for responsibility who move fast, build systems from scratch, and excel at executing strategy.

Your Impact

• Architect and maintain batch and streaming pipelines ingesting data from device SDKs, internal services, partner APIs, and third-party providers.
• Develop backend services and RESTful APIs delivering data to internal teams and real-time decisioning paths.
• Construct Airflow DAGs for reporting, compliance analytics, model training, and feature pipelines while ensuring operational health.
• Create Spark jobs and SQL transformations against our data lake, optimizing performance for cost and speed.
• Implement monitoring, alerting, and data quality checks to proactively surface issues before they impact stakeholders.
• Troubleshoot production challenges across the full stack: Kafka consumer lagging, schema changes breaking downstream systems, or queries degrading due to volume spikes.
• Manage infrastructure including containers, deployments, and cluster configurations for stability and cost-efficiency.
• Contribute to identity graph modeling to uncover fraud rings and hidden linkages between entities.
• Maintain robust documentation, tests, participate in design reviews, and ensure schema sanity as the system evolves.