Senior Data Engineer, Payments

📋 Description

• Design, build, and maintain scalable data pipelines to ingest, reconcile, transform, and publish
• Develop robust, analytics-ready data models and metrics that support financial reconciliation
• Collaborate with software engineers and external data partners to understand source systems
• Establish and maintain high standards for data quality, accuracy, consistency, documentation, and
• Improve pipeline reliability, maintainability, and observability through automated testing
• Partner with Product, Engineering, Finance, Operations, Analytics, and Data Science teams to

🎯 Requirements

• At least 6 years of relevant professional experience in data engineering, software engineering, or
• Strong experience designing, developing, and maintaining production-grade ETL or ELT pipelines.
• Proven expertise in data modeling, including the design of reliable datasets for business
• Hands-on experience with large-scale distributed data processing technologies, such as Apache
• Advanced SQL skills and proficiency in at least one programming language commonly used in data
• Experience with workflow orchestration and pipeline scheduling frameworks, such as Apache Airflow.

🎁 Benefits

• Competitive salary: Annual base salary ranging from $196,000 to $227,000 USD, depending on
• Performance-based compensation: Potential eligibility for additional bonuses and equity, depending
• Comprehensive benefits: Access to employee benefits designed to support health, well-being, and
• Employee travel credits: Potential eligibility for travel credits as part of the overall
• Remote flexibility: US-remote-eligible position, with occasional office visits or team offsites as
• Professional growth: Opportunities to influence data engineering standards, improve foundational