Data Engineer With Kafka And Flink

Job Title: Kafka / Flink Engineer Location: NYC, NY || Fortmill, SC Hybrid C2C /Fulltime Job Description: We are looking for a Kafka / Flink Engineer to design, build, and support real-time streaming data platforms. The ideal candidate will have strong hands-on experience with Apache Kafka and Apache Flink, and a solid understanding of distributed systems, stream processing, and data pipelines in production environments. Key Responsibilities: Design, develop, and maintain real-time data streaming solutions using Apache Kafka and Apache Flink Build and optimize Kafka producers, consumers, topics, and stream processing applications Develop stateful and stateless Flink jobs for real-time analytics and event processing Ensure high availability, fault tolerance, and scalability of streaming platforms Monitor, troubleshoot, and resolve performance and reliability issues in production Collaborate with data engineers, platform teams, and application teams to integrate streaming solutions Implement data quality, security, and governance best practices Participate in code reviews, design discussions, and technical documentation Required Skills & Qualifications: Strong hands-on experience with Apache Kafka (Kafka Streams, Connect, Schema Registry) Solid experience with Apache Flink for real-time stream processing Strong programming skills in Java or Scala (Python is a plus) Experience working with distributed systems and event-driven architectures Knowledge of message serialization formats (Avro, Protobuf, JSON) Experience with monitoring and logging tools for streaming systems Good understanding of data modeling and streaming data patterns Preferred / Nice to Have: Experience with cloud platforms (AWS, Azure, or GCP) Knowledge of containerization and orchestration (Docker, Kubernetes) Experience with CI/CD pipelines for data platforms Exposure to other streaming tools such as Spark Streaming or Pulsar Understanding of security, authentication, and authorization in Kafka ecosystems