Senior Data Engineer – Real-Time Streaming

We are looking for a Senior Data Engineer with expertise in real-time data streaming and distributed data processing to design, build, and scale next-generation data platforms.

Requirements

• Design, develop, and maintain real-time streaming pipelines using Apache Kafka, PySpark, and Flink
• Build scalable and fault-tolerant event-driven data architectures
• Process high-volume streaming data with low latency and high reliability
• Integrate data from multiple sources into centralized data platforms
• Optimize data pipelines for performance, scalability, and cost efficiency
• Ensure data quality, governance, and compliance aligned with banking standards
• Monitor and troubleshoot streaming jobs and production pipelines
• Work with cross-functional teams to translate business requirements into technical solutions

Benefits

• 401k Matching
• Retirement Plan
• Generous Paid Time Off