Staff Data Engineer, Bolt

• 8+ years of experience in data engineering, with deep understanding of distributed systems, data modeling, and ETL/ELT processes
• Expertise in modern data platforms (e.g., Spark, Kafka, Airflow, Snowflake, BigQuery)
• Experience working in financial systems or with sensitive payment data
• Strong SQL, Python, and data pipeline development skills
• Familiarity with event-driven architecture and real-time analytics

Desirable

• As a Staff Data Engineer, you’ll architect and scale our data infrastructure to support mission-critical financial and commerce use cases. You’ll enable robust analytics, operational workflows, and ML integrations that power smarter products and decisions
• Design and build scalable, secure, and high-throughput data pipelines supporting payments, risk, reconciliation, and user behavior tracking
• Implement data models and systems for financial reporting, ledger reconciliation, fraud detection, and business analytics
• Collaborate closely with product, engineering, and data science teams to enable data-powered features and experimentation
• Ensure compliance with financial and regulatory data handling standards (e.g., SOC 2, PCI)
• Champion data quality, lineage, and governance across the company
• Optimize real-time and batch data architectures for performance and reliability

• To be considered for this role, all applicants must download the Bolt Super App before their interview. We want you to be familiar with the product, how it works, and what kind of experience we’re creating for users