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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Greetings Sr. Confluent Kafka Developer - **Company:** Intuitive Insights LLC - **Location:** Minneapolis, MN, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Computer Programming, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Warehousing, DevOps, Distributed Systems, Identity and Access Management, Python (Programming Language), Performance Tuning, Software Engineering, Data Streaming, Cloud Platform System, Snowflake, Kubernetes, Infrastructure Automation Frameworks, Apache Flink, Apache Kafka, Data Management, Video Streaming, Functional Programming, Terraform, Stream Processing, Data Pipelines, Docker, Confluent - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/c8839fe1-f72d-45f0-848b-98e877af18e5 ## About the Role * 3+ years of experience in software development, with a strong focus on Apache Kafka development and distributed systems. * 2+ years of experience in Python for building Kafka applications * Proven experience with Confluent Kafka, including Schema Registry * Experience with Infrastructure as Code (IaC) tools, particularly Terraform. * Hands-on experience with AWS services (e.g., EC2, S3, IAM, Lambda). * Solid understanding of data integration, ETL processes, and data pipeline orchestration. * Experience with operational monitoring and performance optimization of streaming pipelines. * Ability to troubleshoot and resolve complex technical issues related to Kafka and its ecosystem. * Strong analytical and problem-solving skills, with attention to detail. * Excellent verbal and written communication skills. * Ability to work effectively in a team environment and collaborate with cross-functional teams., * 2+ years of experience working with Confluent Cloud and implementing Kafka-based solutions. * Proficiency with Apache Flink, ksqlDB, and Kafka Connect for real-time data processing and integration. * Working knowledge of Snowflake for data warehousing and analytics in cloud environments. * Strong programming skills in Java, with the ability to build and maintain scalable, event-driven applications. * Experience with other data streaming tools or platforms is a plus. * Familiarity with DevOps practices and tools, including CI/CD pipelines, Docker, and Kubernetes, for building and deploying modern cloud-native applications. * Certifications in AWS, Apache Kafka, or related cloud and data streaming technologies are highly desirable. ## Description We are seeking an experienced Confluent Cloud Kafka Developer to design, develop, and manage scalable, real-time data streaming solutions using Apache Kafka on Confluent Cloud. The ideal candidate will work with data engineering teams to architect streaming data pipelines, integrate diverse data sources, and optimize Kafka for high-performance applications. This role requires strong expertise in Apache Kafka, Confluent Cloud, and distributed streaming platforms, with a focus on real-time integrations., * Develop, implement, and manage streaming data pipelines using Confluent Kafka and Apache Flink. * Collaborate with data engineering teams to integrate streaming solutions with existing data platforms such as AWS and Snowflake. * Design, build, and maintain real-time data pipelines and ensure high data quality, integrity, and reliability. * Utilize Terraform to manage and automate code deployments on AWS or other cloud environments. * Develop and maintain CI/CD pipelines for deploying and managing Kafka clusters and related infrastructure. * Collaborate with development, DevOps, and data science teams to understand data needs and deliver optimal solutions. * Provide support and guidance on Kafka-related issues and best practices for other teams. * Stay updated with the latest Kafka and streaming technologies and provide recommendations for improvements. ## Related Videos - [Let's Get Started With Apache Kafka® for Python Developers](https://www.wearedevelopers.com/videos/565-let-s-get-started-with-apache-kafka-for-python-developers) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Tips, Techniques, and Common Pitfalls Debugging Kafka](https://www.wearedevelopers.com/videos/838-tips-techniques-and-common-pitfalls-debugging-kafka) - [Kafka Streams Microservices](https://www.wearedevelopers.com/videos/168-kafka-streams-microservices) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Why Attend a Developer Event in 2026?](https://www.wearedevelopers.com/magazine/688-why-attend-a-developer-event-in-2026) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Must-Visit Developer Conferences in the US in 2026](https://www.wearedevelopers.com/magazine/679-top-must-visit-developer-conferences-in-the-us-in-2026)