Job Title: Big Data ML Engineer
Location: Plano, TX (Hybrid)
Duration: 7 Months
Job Description:
Job Description: Design, build, and operate large-scale batch and real-time data pipelines that move, transform, and publish data across the enterprise with high reliability and low latency
Collaborate with Agile teams to architect end-to-end data solutions – from ingestion and orchestration through to event streaming and downstream delivery
4+ years of experience building or operating data pipeline and orchestration systems
4+ years of data or application engineering experience, including Java, Python and SQL
4+ years of experience building and operating real-time or event-driven data systems
4+ years of experience with distributed data and computing tools (Kafka, Spark, EMR, Hadoop, or equivalent)
4+ years of experience with cloud data warehousing platforms at scale
4+ years of experience with cloud platforms (AWS, Azure, or GCP)
3+ years of experience with pipeline scheduling and workflow orchestration tools
2+ years of experience with secure secrets management and credential handling in production systems
2+ years of experience working in Agile engineering environments
Familiarity with data observability practices – monitoring, alerting, SLA tracking, and data quality frameworks
Experience in financial services or other regulated, compliance-driven industries