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Internship Kafka Jobs (NOW HIRING)

Chartbeat

Data Engineering Internship

Austin, TX · On-site +1

$16.50 - $21.50/hr

Everything is connected by message buses powered by Apache Kafka and RabbitMQ. Our small but strong ... Internship Experience As an engineering intern, you will be on a small cross‐functional scrum ...

Bloomberg LP

Senior Software Engineer - VAULT

New York, NY · On-site

$134K - $176.70K/yr

We leverage distributed technologies (Kafka, Spark, Flink, Cassandra, Airflow, etc.) to deliver ... The Company does not provide benefits directly to contingent workers/contractors and interns.

Merican

Developer III - Software Engineering

Frisco, TX · On-site

Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at ... Exposure to streaming technologies (Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured ...

Merican

Developer III - Software Engineering

Frisco, TX · On-site

Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at ... Exposure to streaming technologies (Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured ...

WHOOP

Software Engineer I (Backend)

Boston, MA · On-site

Required : • Professional experience in backend software development (internship, co-op, or ... g., Kafka or similar technologies), and cloud platforms such as AWS. • Strong problem-solving ...

WHOOP

Software Engineer I (Backend)

Boston, MA · On-site

Required : • Professional experience in backend software development (internship, co-op, or ... g., Kafka or similar technologies), and cloud platforms such as AWS. • Strong problem-solving ...

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How much do internship kafka jobs pay per hour?

As of May 29, 2026, the average hourly pay for internship kafka in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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

To thrive as a Kafka Intern, you need foundational knowledge in computer science, data streaming concepts, and programming languages like Java or Python, typically supported by relevant coursework or a degree in progress. Familiarity with Apache Kafka, distributed systems, and tools such as Docker or Kubernetes is often expected, along with experience using version control systems like Git. Strong problem-solving skills, effective communication, and a proactive learning attitude help interns stand out in collaborative tech environments. These skills and qualities are essential for efficiently supporting real-time data pipelines and contributing to team projects in dynamic settings.

What types of projects can an intern expect to work on during a Kafka internship?

As a Kafka intern, you are likely to be involved in projects that focus on building, testing, or optimizing data pipelines using Apache Kafka. You may assist in configuring Kafka clusters, developing producers and consumers, and integrating Kafka with other systems. Interns often collaborate closely with engineering teams to troubleshoot real-time data streaming issues and contribute to documentation or automation scripts. This hands-on experience provides valuable exposure to distributed systems and large-scale data processing, which are highly sought after skills in the industry.

What is an Internship Kafka?

An Internship Kafka refers to an internship position focused on working with Apache Kafka, which is an open-source platform used for building real-time data pipelines and streaming applications. Interns in this role typically assist with designing, developing, and maintaining data streaming solutions using Kafka. They may also help in integrating Kafka with other systems, monitoring data flows, and troubleshooting issues. This internship provides hands-on experience with distributed systems and is often sought after by students in computer science or related fields.

What is the difference between Internship Kafka vs Data Engineer?

AspectInternship KafkaData Engineer
Required CredentialsBasic understanding of Kafka, often pursuing related educationDegree in Computer Science or related field, certifications preferred
Work EnvironmentEntry-level, training-focused, internship settingFull-time, professional environment, project-driven
Industry UsageUsed for learning Kafka concepts and toolsDesigning, building, and maintaining data pipelines with Kafka

Internship Kafka roles are designed for beginners gaining foundational knowledge, while Data Engineers are experienced professionals responsible for implementing Kafka in data infrastructure. Internships offer training, whereas Data Engineers handle complex projects. Both roles are essential in data-driven industries, but differ significantly in scope and experience level.

More about Internship Kafka jobs
What cities are hiring for Internship Kafka jobs? Cities with the most Internship Kafka job openings:
What are the most commonly searched types of Kafka jobs? The most popular types of Kafka jobs are:
What states have the most Internship Kafka jobs? States with the most job openings for Internship Kafka jobs include:
What job categories do people searching Internship Kafka jobs look for? The top searched job categories for Internship Kafka jobs are:
Internship Kafka jobs near you
Infographic showing various Internship Kafka job openings in the United States as of May 2026, with employment types broken down into 35% Internship, 4% As Needed, 51% Full Time, 6% Temporary, and 4% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Senior Software Engineer - Apache Kafka Infrastructure

Senior Software Engineer - Apache Kafka Infrastructure

Bloomberg LP

New York, NY • On-site

$134K - $176.70K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

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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