Data Engineer - Scalable Pipelines & AI-Driven Analytics

A leading technology consulting firm in Austin, Texas, is seeking an experienced Data Engineer to design scalable data pipelines and develop ETL workflows optimized for performance. The role requires over 6 years of experience in data engineering, proficiency in Python, Scala, or Java, and hands-on experience with tools like Spark and Kafka. Candidates should have a strong understanding of data modeling and cloud platforms such as AWS, Azure, or GCP. This position offers the opportunity to work on advanced use cases, focusing on AI-driven automation and compliance. J-18808-Ljbffr