Kafka / Flink Engineer - Onsite

Global Business Ser. 4u; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Global Business Ser. 4u in NYC, NY is seeking 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 solid programming skills in Java or Scala. On-site roles in NYC and Fortmill, SC are available.

You will collaborate with data engineers and platform teams to ensure reliability, security, and scalable data pipelines across production environments.

Qualifications

• Strong hands-on experience with Apache Kafka and Flink.
• Experience with distributed systems and event-driven architectures.
• Proficiency in Java or Scala; Python is a plus.
• Familiarity with data serialization formats (Avro, Protobuf, JSON).
• Experience with monitoring and logging for streaming systems.
• Design, build, and support real-time streaming data platforms.
• Develop stateful and stateless Flink jobs for real-time analytics.
• Ensure high availability and scalability of streaming platforms.
• Collaborate with data engineers and platform teams.
• Implement data quality, security, governance best practices.

Responsibilities

• Design, develop, and maintain real-time 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.

Skills

Apache Kafka

Apache Flink

Java

Scala

Python

Distributed systems

Event-driven architectures

Data modeling

Streaming data patterns

Monitoring & logging

Tools

Kafka Streams

Kafka Connect

Schema Registry

Avro

Protobuf

JSON

Docker

Kubernetes

Job description

Job Title

Kakfa / Flink Engineer

Location

NYC, NY || Fortmill, SC - On-Site

Priority

Critical

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