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Apache Kafka Jobs (NOW HIRING)

Inficare Technologies

Kafka Engineer

Minneapolis, MN · On-site

The ideal candidate will have a strong background in infrastructure analysis with hands-on expertise in Apache Kafka administration and cloud platform services. Key Responsibilities * Provision and ...

TiTANS Consulting

WI · On-site

$100 - $125/hr

De opdracht bestaat erin een event-driven data-architectuur op te zetten en te beheren waarbij Apache Kafka wordt ingezet als buffer- en verwerkingslaag, en Elasticsearch als datalake-oplossing voor ...

Sarian, Inc.

Kafka Administrator

Jersey City, NJ · On-site

Strong knowledge of Apache Kafka architecture and its components like brokers, topics, partitions, and consumers. * Hands-on experience with Kafka tools such as Kafka Manager, Kafka Connect, and ...

NetApp

Sr. Open Source Software Engineer (Kafka)

Waltham, MA · On-site

$133K - $176K/yr

Job Summary Are you an Apache Kafka committer who wants to operate at the highest level of technical and community influence? This role connects deep upstream work, including binding committer ...

IT America Inc

Kafka Engineer

Dallas, TX · Remote

$57 - $75.50/hr

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 ...

NetApp

Sr. Open Source Software Engineer (Kafka)

San Jose, CA · On-site

$143K - $189K/yr

Job Summary Are you an Apache Kafka committer who wants to operate at the highest level of technical and community influence? This role connects deep upstream work, including binding committer ...

Centstone

Kafka / StreamSets Developer

Louisville, KY · On-site

Build and support real-time data streaming using Apache Kafka * Develop and maintain StreamSets Data Collector pipelines * Create/maintain Kafka producers, consumers, topics, and consumer groups

Staffingine LLC

Kafka Architect

Bethesda, MD · On-site

$68.25 - $87.75/hr

Lead the architecture, design, and deployment of Apache Kafka-based platforms. * Define best practices and standards for Kafka implementation, integration, and security across the organization.

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How much do apache kafka jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for apache kafka in the United States is $58.99, according to ZipRecruiter salary data. Most workers in this role earn between $50.96 and $66.11 per hour, depending on experience, location, and employer.

What is the difference between Apache Kafka vs Data Engineer?

AspectApache KafkaData Engineer
Primary RoleDistributed event streaming platform for real-time data pipelinesDesign, build, and maintain data pipelines and storage solutions
Required SkillsKnowledge of distributed systems, messaging, and streamingProgramming, database management, ETL processes
Work EnvironmentData streaming infrastructure, cloud or on-premisesData warehouses, pipelines, cloud platforms
Common CertificationsConfluent Certified Developer, Apache Kafka certificationsGoogle Cloud Data Engineer, AWS Data Analytics

While Apache Kafka is a core technology used by Data Engineers for real-time data streaming, Data Engineers focus on designing and maintaining entire data pipelines and storage systems. Kafka is a tool within the broader scope of data engineering tasks.

Is Apache Kafka in demand?

Apache Kafka is highly in demand as a data streaming platform used by organizations for real-time data processing and integration. Skills in Kafka, along with knowledge of distributed systems and cloud environments, are sought after in data engineering and backend development roles. Certification and experience with related tools can enhance job prospects in this field.

What is the work of Apache Kafka?

A job involving Apache Kafka typically focuses on designing, implementing, and maintaining real-time data streaming systems using Kafka. Responsibilities include configuring Kafka clusters, developing data pipelines, and ensuring reliable message delivery, often requiring knowledge of distributed systems and programming skills. The role supports data integration and processing in environments that demand high throughput and low latency.

What cities are hiring for Apache Kafka jobs?

Cities with the most Apache Kafka job openings:

What other helpful pages are available for Apache Kafka?

Other pages related to Apache Kafka:

Infographic showing various Apache Kafka job openings in the United States as of September 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $122,706 per year, or $59 per hour.

Senior Software Engineer - Apache Kafka Infrastructure

New York, NY • On-site

Bloomberg LP
Finance and Insurance • 10K+ employees
Learn more about Bloomberg LPexternal

$134K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 247 rated software companies

Job description

Senior Software Engineer - Apache Kafka Infrastructure
Location
New York
Business Area
Engineering and CTO
Ref #
10051649
Description & Requirements
The Bloomberg Managed Services organization (BMS) is responsible for creating and curating Bloomberg Engineering's "as a Service" software catalog and infrastructure. We develop and integrate products into a simple, elegant user interface and provide a concise way for engineers to create data-store and middleware instances.
The BMS Streaming team focuses on providing streaming solutions on the BMS Platform powered by Apache Kafka and its ecosystem. Apache Kafka has quickly become the backbone of event driven architecture at Bloomberg and the main data bus for data distribution, live streaming, and general purpose messaging. Given that the majority of Engineering teams in the company already leverage our product in production, you'll have the chance to positively impact virtually any product under the Bloomberg umbrella by joining our team.
The easiest way to learn more about what our team does and some of the challenges we face is to check out our talk at Kafka Summit: https://www.confluent.io/resources/kafka-summit-2020/fully-managed-multi-tenant-kafka-clusters-tips-tricks-and-tools/
We are extremely proud of our open and inclusive culture, and value diversity of thought and perspective in every form. We're looking for engineers with a real passion for writing reusable, efficient solutions to complex problems, who can collaborate and work effectively on small teams to develop software that impacts thousands of power users around the world.
We work with:
  • Open-source frameworks and tools (Apache Kafka, Docker, Kubernetes, Node.js, OpenStack, etc)
  • Java, Scala, C++, Python, Javascript, and Go as required to provide these frameworks in an easy to use manner for developers
  • All projects follow the team's SDLC practices, including Docker-based unit testing, Jenkins integration, API documentation standards, etc.

We'll trust you to:
  • Collaborate within an Agile, multi-disciplinary team
  • Develop code around the Apache Kafka broker, its client libraries (C/C++, Java, Python), its ecosystem frameworks (Kafka Connect, Kafka Streams, Cruise Control, Burrow, etc.)
  • Work on Open Source projects within the Kafka ecosystem and contribute changes upstream
  • Develop an end-to-end full-stack user experience
  • Pick up on new frameworks, experiment, and build software that works seamlessly on various environments
  • Anticipate engineering needs and expectations from Bloomberg engineers, and build solutions that work for them
  • Collaborate directly with product owners and application teams to understand requirements, conduct feature demos, and provide system design consultations
  • Identify feature gaps in the technologies and work with the open source community and our vendors to co-design and co-develop features and bug fixes

You'll need to have:
  • 4+ years experience programming in Java, C++, Python, Go, Scala or similar in a production environment
  • A Degree in Computer Science, Engineering or similar field of study or equivalent work experience
  • Strong communication and collaboration skills
  • Strong understanding of distributed systems, data structures, algorithms and system design
  • Experience designing and implementing low-latency, high-volume, and high-availability distributed systems
  • Commitment to writing meaningful unit tests and integration tests

We'd love to see:
  • Passion for distributed systems and large scale data systems
  • Familiarity with Apache Kafka
  • Familiarity with Kubernetes and Docker
  • Java programming experience
  • Experience maintaining and contributing to large Open Source projects
  • Experience evolving and monitoring systems at scale
  • Deep understanding of TCP/IP and Unix networking, Linux kernel performance

Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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