ZipRecruiter

Log In

1

Internship Kafka Jobs (NOW HIRING)

Waymo

Analysis Infra SWE

Mountain View, CA · On-site

... years for L4, and relevant internship for L3) * Experience in leading projects and driving ... Hadoop, Flume, and Spark) with stream processing frameworks (e.g., Flink, Flume Streaming, Kafka)

UST

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... internships, bootcamps, or self-directed project work. • Must be located in the United States ... Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming). • Exposure to AI/ML ...

UST HealthProof

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... internships, bootcamps, or self-directed project work. • Must be located in the United States ... Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming). • Exposure to AI/ML ...

CyberProof

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... internships, bootcamps, or self-directed project work. • Must be located in the United States ... Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming). • Exposure to AI/ML ...

previous page

Showing results 41-60

All JobsKafka JobsInternship Kafka Jobs

Internship Kafka information

See salary details

$9

$17

$23

How much do internship kafka jobs pay per hour?

As of Aug 11, 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 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 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 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.

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.
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 August 2026, with employment types broken down into 12% Internship, 63% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Analysis Infra SWE

Waymo

Mountain View, CA • On-site

Full-time

Re-posted 4 days ago

Job description

You will:

  • Develop and maintain a data processing platform used by onboard and offboard teams to extract signals from petabytes of driving logs and simulation traces.
  • Design and build low-latency streaming data processing platform, enabling real-time identification of critical driving events.
  • Improve the reliability, scalability, and efficiency of our signal generation infrastructure, establishing SLOs and reducing operational toil for massive-scale data processing jobs.
  • Collaborate with cross-functional partners in Perception, Planner, and Data Science to migrate legacy pipelines to modern infrastructure and support new analytical use cases.

You have:

  • BS or MS in Computer Science, Computer Engineering, or equivalent 
  • 5+ years of professional experience in backend engineering, databases, and production monitoring (3+ years for L4, and relevant internship for L3)
  • Experience in leading projects and driving collaborating with cross-functional teams (for L4 and L3, this is not required and can be moved to preferred below)
  • Experience with general-purpose programming languages, especially C++.

  • Experience  Comment start with capacity planning, resource forecasting models, and cost attribution strategies for high-throughput or streaming data processing infrastructure. Comment end  

  • Excellent collaboration and communication skills

We prefer:

  • Familiarity with distributed processing frameworks (e.g. Hadoop, Flume, and Spark) with stream processing frameworks (e.g., Flink, Flume Streaming, Kafka).
  • Proven track record of driving collaboration effectively across organizational boundaries, building multi-dimensional stakeholder relationships, and importing and exporting ideas to achieve broad organizational goals
  • Familiarity with infrastructure-as-code and reliability engineering practices (SLOs, error budgets)

Apply