Staff Engineer - Data Engineering
Core
Designing and building complex data platforms, distributed systems, and AI/ML operationalization for the U.S. financial system.
Role type
Staff Data Engineer (Strategy & Architecture)
Builds
Scalable data warehouses, real-time/batch processing pipelines, and AI/ML model operationalization for payments and risk management.
Domain
FinTech, Payments, Data Engineering, Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Data architecture design, distributed systems, cloud infrastructure (AWS/GCP/Azure), SQL/NoSQL, ETL/ELT, event-driven architecture (Kafka/RabbitMQ), CI/CD, Python, PySpark, R, Kubernetes, AI/ML model lifecycle management
Preferred skills
FinTech domain knowledge, real-time payment networks (RTP/FedNow), ACH/EFT, advanced AI/ML frameworks (TensorFlow/SageMaker), Aerospike, Scality S3, AppDynamics
Technologies
Python, PySpark, R, SQL Server, HDFS, Elastic Search, Kafka, RabbitMQ, Google Cloud Platform, AWS, Azure, Kubernetes, TensorFlow, SageMaker, Scikit, Aerospike, Scality S3, AppDynamics
Responsibilities
Build data strategy for complex requirements, drive technical and data architecture design, lead functional teams and technical planning, collaborate with product/design to build new features, own system health and long-term planning, resolve production issues, improve engineering standards and tooling
Seniority
Staff, hands-on IC with strategic influence