Data Platform & Streaming Engineer

Fluor is seeking a Data Platform & Streaming Engineer to design and build secure, scalable data platforms and real-time streaming pipelines for AI/ML products and analytics across EPC programs. The ideal candidate brings strong hands-on experience with distributed data systems, streaming frameworks, and cloud-native engineering practices.

Requirements

• 5+ years of experience in data engineering, including streaming and distributed processing.
• Strong hands-on experience with streaming platforms (e.g., Kafka, Azure Event Hubs, Confluent, Pulsar) and patterns (event-driven architecture, CDC, exactly-once/at-least-once).
• Proficiency in Spark (PySpark/Scala) and SQL; experience with Spark Structured Streaming or equivalent.
• Experience building data platforms on cloud (preferably Azure): ADLS, Databricks, Synapse, Data Factory, Event Hubs, Functions & AKS

Benefits

• Competitive salary
• Benefits package
• Opportunities for career growth and development