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
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