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Kafka Engineer Jobs (NOW HIRING)

Kafka Engineer

Dallas, TX · Remote

$57 - $75.50/hr

Kafka Developer / Engineer (Kafka + MongoDB) Location: Remote Duration: Long term contract Type: Only W2 (No C2C/1099) Job Summary: We are looking for a Kafka Developer / Engineer with strong ...

Position: Kafka Engineer Location : San Francisco , CA Duration: Long term Kafka Engineer to build and support Size Pro to FlexPLM Affiliate Size ingestion API. 3-5 years of experience with the ...

Kafka Engineer

Arlington, VA · On-site

$100K - $130K/yr

Overview The Kafka Engineer / Administrator / Developer is a key member of the program technical team, supporting large-scale data streaming, system integration, and platform modernization ...

Kafka Engineer

Plainsboro, NJ · On-site

$100K - $150K/yr

Kafka Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Salary: $100K - $150K / Annum ...

New

Kafka Engineer

Arlington, VA · Remote

$100K - $130K/yr

Overview The Kafka Engineer / Administrator / Developer is a key member of the program technical team, supporting large-scale data streaming, system integration, and platform modernization ...

Kafka Engineer

Arlington, VA · On-site

$100K - $130K/yr

Overview The Kafka Engineer / Administrator / Developer is a key member of the program technical team, supporting large-scale data streaming, system integration, and platform modernization ...

Kafka Engineer

$100K - $130K/yr

Kafka Engineer / Administrator / Developer The Kafka Engineer / Administrator / Developer is a key member of the program technical team, supporting large-scale data streaming, system integration, and ...

Kafka Engineer Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We ...

Kafka Engineer

Newark, CA · On-site

$100K - $150K/yr

Kafka Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Salary: $100K - $150K Experience ...

KAFKA ENGINEER

Plano, TX · On-site

$65/hr

Max rate $65 KAFKA ENGINEER Experience 7to10Yrs Shift Day 9AM TO 7PM Required Skills - Kafka Nice to have skills - Azure DevOps Roles & Responsibilities Utilize your 7-10 years of experience and ...

Kafka Engineer

$100K - $150K/yr

Kafka Platform Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 5+ years ...

Kafka Engineer Job Title: Kafka Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor ...

Kafka Engineer

Owings Mills, MD · On-site

$61 - $66/hr

Kafka Engineering Role Description • The successful candidate will be responsible for developing and managing infrastructure as code (IaC), software development, continuous integration, system ...

Responsibilities • Support systems engineering lifecycle activities for Kafka platform, including requirements gathering, design, testing, implementation, operations, and documentation. • ...

They are seeking an experienced Kafka Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments, ensuring a reliable and performant streaming platform ...

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Kafka Engineer information

See salary details

$39K

$101.8K

$137.5K

How much do kafka engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for kafka engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

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 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.

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 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.

More about Kafka Engineer jobs
What cities are hiring for Kafka Engineer jobs? Cities with the most Kafka Engineer job openings:
What states have the most Kafka Engineer jobs? States with the most job openings for Kafka Engineer jobs include:
Infographic showing various Kafka Engineer job openings in the United States as of June 2026, with employment types broken down into 47% Full Time, 15% Part Time, and 38% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.
Kafka Engineer

Kafka Engineer

IT America Inc

Dallas, TX • Remote

$57 - $75.50/hr

Contractor

Posted 20 days ago


Job description

Position: Kafka Developer / Engineer (Kafka + MongoDB)

Location: Remote

Duration: Long term contract

Type: Only W2 (No C2C/1099)

Job Summary:

We are looking for a Kafka Developer / Engineer with strong experience in Apache Kafka and working knowledge of MongoDB. The ideal candidate will be responsible for building and maintaining real-time data streaming pipelines and supporting backend data systems.

Key Responsibilities:

  • Design, develop, and maintain Kafka-based data streaming solutions
  • Work on Kafka producers, consumers, and topics management
  • Monitor and troubleshoot Kafka pipelines and performance issues
  • Integrate Kafka with downstream systems including MongoDB
  • Develop and optimize MongoDB queries and collections
  • Ensure data consistency, reliability, and scalability
  • Collaborate with cross-functional teams for data integration
  • Participate in debugging, testing, and performance tuning

Required Skills:

  • Strong experience with Apache Kafka (70%)
  • Hands-on experience with MongoDB (30%)
  • Good knowledge of data streaming and event-driven architecture
  • Experience with Java / Python / Scala (any one)
  • Understanding of REST APIs and microservices architecture
  • Basic knowledge of data pipelines and ETL processes