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Kafka Engineer Jobs in Colorado (NOW HIRING)

K Anand Corporation

Kafka ENgineer & Event Streaming

Denver, CO · On-site

$54.25 - $74.25/hr

Experienced engineer specializing in the design and development of eventdriven AIenabled applications using Apache Kafka, Spring AI, and cloudnative microservices architectures. Expertise in building ...

New

Neshent Technologies

$122K - $156K/yr

Job Summary We are seeking a Senior Kafka DevOps Administrator to manage, optimize, and modernize ... E environment.

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All JobsKafka Engineer JobsKafka Engineer Jobs in Colorado

Kafka Engineer information

See Colorado salary details

$41K

$107K

$144.6K

How much do kafka engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for kafka engineer in Colorado is $106,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,300.00 and $122,500.00 per year, depending on experience, location, and employer.

What does a Kafka engineer do?

A Kafka Engineer specializes in designing, building, and maintaining distributed data streaming systems using Apache Kafka. They are responsible for configuring Kafka clusters, ensuring data reliability and scalability, and integrating Kafka with other systems. Kafka Engineers also monitor system performance, troubleshoot issues, and optimize data pipelines to support real-time data processing needs. Their work is essential for organizations that rely on high-throughput, low-latency data streaming for applications such as analytics, event sourcing, and microservices architectures.

What are the key skills and qualifications needed to thrive as a Kafka engineer, and why are they important?

To thrive as a Kafka Engineer, you need a strong understanding of distributed systems, proficiency in Apache Kafka, and experience with programming languages like Java or Python, often supported by a degree in computer science or a related field. Familiarity with tools such as Kafka Connect, Kafka Streams, monitoring systems (e.g., Prometheus, Grafana), and relevant certifications like Confluent Certified Developer for Apache Kafka are typically required. Problem-solving skills, effective communication, and the ability to work collaboratively make someone stand out in this position. These skills and qualities are crucial to ensure reliable data pipelines, seamless integration, and efficient troubleshooting in mission-critical, real-time data environments.

How does a Kafka engineer typically collaborate with development and operations teams?

Kafka Engineers play a key role in bridging the gap between development and operations teams. They work closely with developers to design and implement event-driven architectures using Kafka, ensuring data flows reliably between services. Simultaneously, they partner with operations teams to deploy, monitor, and maintain Kafka clusters, addressing issues like scalability, fault tolerance, and security. Effective communication and a strong understanding of both software development and infrastructure are essential for success in this collaborative environment.

What is the difference between Kafka Engineer vs Data Engineer?

AspectKafka EngineerData Engineer
Required CredentialsCertifications in Kafka, cloud platforms, programming languagesCertifications in data tools, cloud, SQL, programming
Work EnvironmentFocus on Kafka setup, streaming data, real-time processingBroader data pipeline, storage, and processing tasks
Employer & Industry UsageTech companies, data-driven organizations using KafkaVarious industries managing large data systems
Common Search & ComparisonOften compared for specialization in streaming dataBroader role encompassing multiple data technologies

The Kafka Engineer specializes in designing, implementing, and maintaining Kafka-based streaming data systems, focusing on real-time data processing. In contrast, Data Engineers work on building comprehensive data pipelines, integrating various data sources, and managing storage solutions. While Kafka Engineers focus on Kafka-specific tasks, Data Engineers handle a wider range of data tools and platforms, making their roles complementary but distinct in data infrastructure teams.

What are popular job titles related to Kafka Engineer jobs in Colorado?

For Kafka Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Kafka Engineer jobs in Colorado look for?

The top searched job categories for Kafka Engineer jobs in Colorado are:

What cities in Colorado are hiring for Kafka Engineer jobs?

Cities in Colorado with the most Kafka Engineer job openings:

Kafka Engineer jobs near you
Infographic showing various Kafka Engineer job openings in Colorado as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $106,994 per year, or $51.4 per hour.

Kafka ENgineer & Event Streaming

K Anand Corporation

Denver, CO • On-site

$54.25 - $74.25/hr

Other

Posted 3 days ago

New

Job description

Work Location with Zip code: Denver, CO 80214

  • Duration of the project: 12 Months

Must have skills:

Apache Kafka & Event Streaming AILLM Integration (Spring AI, ChatGPT) RealTime Data Processing EventDriven Architecture CloudNative Application Development AWS & Kubernetes (EKS) Microservices & API Engineering CICD & DevOps Automation

Detailed Job Description:

QUALIFICATION:

Education: BE, B. Tech

KEY RESPONSIBILITIES:

Experienced engineer specializing in the design and development of eventdriven AIenabled applications using Apache Kafka, Spring AI, and cloudnative microservices architectures.

Expertise in building scalable realtime data processing solutions, AIpowered service integrations, and streaming platforms on AWS.

Strong experience in Kafka messaging, REST APIs, Kubernetes EKS, CICD automation, and enterprise application modernization.

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