Data Engineer – Apache Flink

Job Description We are seeking an experienced Data Engineer with strong expertise in Apache Flink to design and build scalable real-time and batch data pipelines within a financial services environment. This role involves working with high-volume streaming data systems and distributed architectures. The ideal candidate will have hands-on experience building production-grade streaming pipelines and collaborating with cross-functional analytics and engineering teams. Key Responsibilities: • Design, develop, and maintain real-time and batch data pipelines using Apache Flink • Process and transform large volumes of structured and unstructured data • Integrate with Kafka, databases, and cloud storage systems • Ensure data quality, performance, and reliability • Collaborate with analytics, product, and engineering stakeholders Required Skills: • Strong hands-on experience with Apache Flink • Experience with Kafka and event-driven streaming architectures • Solid SQL and data modeling knowledge • Experience with Hadoop, Spark, or similar distributed frameworks • Cloud platform experience (AWS, Azure, or GCP) Preferred Skills: • Python or Scala • Data warehousing experience • CI/CD and DevOps exposure Location: Hybrid – Chicago, IL Contract Rate: 40-45/Hour on W2 (Inclusive all taxes)