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Entry Level Kafka Developer Jobs (NOW HIRING)

This is an entry-level role suitable for a recent graduate or an engineer with up to three years of ... Event-driven systems and message queues such as Kafka, RabbitMQ, or SQS. * Speech-to-Text, Text-to ...

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Software Engineer

New York, NY · On-site

$110K - $125K/yr

This is an entry-level role designed for someone early in their career who wants to see how a real ... Spring Boot, PostgreSQL, Kafka, Kubernetes, AWS. * What it means to own something: scoping ...

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Entry Level Kafka Developer information

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$32K

$94.1K

$161.5K

How much do entry level kafka developer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for entry level kafka developer in the United States is $94,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $101,500.00 per year, depending on experience, location, and employer.

What is an entry level Kafka developer?

An Entry Level Kafka Developer is a software professional who works with Apache Kafka, an open-source platform for building real-time data pipelines and streaming applications. Their primary responsibilities include developing, testing, and maintaining applications or services that produce, consume, and process data streams using Kafka. They typically have a foundational knowledge of programming (such as Java or Python), experience with messaging systems, and a basic understanding of distributed systems. Entry-level developers work closely with senior engineers to learn best practices, troubleshoot issues, and ensure the reliability and scalability of Kafka-based solutions.

What is the difference between Entry Level Kafka Developer vs Data Engineer?

AspectEntry Level Kafka DeveloperData Engineer
Required CredentialsBasic programming skills, Kafka fundamentals, possibly a degree in CS or related fieldAdditional skills in data pipelines, SQL, cloud platforms, often more certifications
Work EnvironmentCollaborates with development teams, focuses on Kafka setup and integrationWorks on data architecture, ETL processes, and large-scale data systems
Industry UsageUsed in companies implementing real-time data streaming solutionsUsed across industries for data management and analytics

While both roles involve working with data systems, an Entry Level Kafka Developer primarily focuses on Kafka-based streaming solutions, whereas a Data Engineer handles broader data infrastructure and pipelines. The Kafka Developer role is more specialized, often requiring foundational knowledge of Kafka, while Data Engineers require a wider skill set in data processing and architecture.

What are some common challenges faced by entry level Kafka developers, and how can they overcome them?

Entry level Kafka developers often encounter challenges with understanding Kafka’s distributed architecture, managing message serialization, and ensuring data consistency across topics and partitions. Collaborating closely with senior developers and participating in code reviews can help accelerate learning. Leveraging official documentation and hands-on practice with small-scale projects are effective strategies to build confidence and troubleshoot issues. Additionally, becoming familiar with monitoring tools and best practices for error handling will help mitigate common pitfalls in production environments.

What are the key skills and qualifications needed to thrive as an entry level Kafka developer?

To thrive as an Entry Level Kafka Developer, you need a solid understanding of distributed systems, Java or Scala programming, and core concepts of Apache Kafka, often supported by a degree in computer science or related field. Familiarity with Kafka tools (like Kafka Connect, Kafka Streams), basic DevOps practices, and experience with version control systems such as Git are typically required. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help you stand out in this role. These skills ensure reliable data streaming solutions and smooth collaboration with engineering teams in dynamic environments.
More about Entry Level Kafka Developer jobs

What are the most commonly searched types of Kafka Developer jobs?

The most popular types of Kafka Developer jobs are:

Infographic showing various Entry Level Kafka Developer job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 3% Part Time, and 17% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $94,149 per year, or $45.3 per hour.

Software Engineer [Multiple Positions Available]

JPMorgan Chase & Co.

Tampa, FL • On-site

$90 - $135/hr

Other

Posted 16 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

Duties: Execute creative software solutions that are secure and high-quality to design, develop, and troubleshoot software. Architect and implement event-driven solutions. Build, deploy, and manage serverless functions in and containerized services. Model, query, and optimize data and relational stores. Define and expose APIs including authorization, throttling, and monitoring. Build dashboards and setup alerting mechanisms. Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems by writing automated test suites. Guide design proposals and implementation walkthroughs with external vendors and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Drive software modernization and public cloud migration across development teams and ring fenced teams. Remove blockers and impediments from development team to reduce friction, frequent pain points and time-to-market. Automate CI/CD pipelines, infrastructure provisioning, and operational runbooks. Perform code reviews, mentor junior engineers, and uphold coding standards and best practices on Cloud solutions.

QUALIFICATIONS

Minimum education and experience required: Master\'s degree in Information Systems, Computer Science, Computer Engineering, Electrical Engineering, Computer Information Systems or related field of study plus 1 year of experience in the job offered or as Software Engineer, Web Developer or related occupation. The employer will alternatively accept a Bachelor\'s degree in Information Systems, Computer Science, Computer Engineering, Electrical Engineering, Computer Information Systems or related field of study plus 3 years of experience in the job offered or as Software Engineer, Web Developer or related occupation.

Skills Required: This position requires one (1) year of experience with the following: Architecting and implementing event-driven solutions with Apache Kafka, AWS EventBridge, SNS, and SQS; Building, deploying, and maintaining serverless functions in AWS Lambda and containerized services on AWS ECS; Modeling, querying, and optimizing data in AWS DynamoDB and relational stores using SQL; Building dashboards and setting up alerting mechanisms using monitoring tools including Cloud Watch, Datadog, and Splunk; Applying Agile SDLC principles throughout the development lifecycle; Designing scalable, maintainable systems using application and infrastructure architecture disciplines; Building and operating microservices and J2EE-based applications; Wiring up application\'s components including services, repositories, and controllers declaratively via annotations, injecting dependencies via Dependency Injection, and applying Inversion of Control and Aspect-Oriented Programming using Spring framework; Rapid prototyping using Spring Boot using configurable components that can be included automatically based on classpath contents and application-properties; Defining interfaces to get basic create-read-update-delete methods and writing repository methods that enable Spring to generate SQL automatically; Structuring pages with header, main, article, footer for accessibility, and building robust forms with proper labels, required fields, and client-side validation using HTML; Defining CSS variables for colors and fonts, switching themes at runtime and applying media queries, and optimizing for mobile, tablet, desktop experiences; Calling RESTful APIs and handling JSON errors and retries using JavaScript; Stripping harmful input available in JavaScript using Promises and async/await to validate required formats; Building reusable UI units, binding data and events declaratively, and organizing feature modules; Configuring lazy-loaded routes using features in Angular; Building and dependency management using Maven and JSON-based REST API design; Deploying and managing applications on Pivotal Cloud Foundry; Defining interfaces extending Mongo Repository to get CRUD, paging, and sorting out of the box; Building data-processing pipelines including filter, group, and project with Aggregation; Executing SQL queries and updates, and calling stored procedures with JdbcTemplate for fine-grained control; Configuring the Hibernate Oracle dialect in application-properties and JpaRepository for entity CRUD; Writing human-readable scenarios in Gherkin including Given-When-Then to specify business behavior using Cucumber; Generating HTML, JSON and JUnit-style reports via Cucumber plugins that can be integrated into the CI dashboard; Writing test cases including white box testing using Junit to check for code coverage by using Annotate methods with JUnit 5 testing tools, and group related tests using Nested and Tag and checking responses leveraging built-in assertions; Configuring Jenkins, GitLab CI, and GitHub Actions to run unit, integration, and E2E tests on commits and PR; Planning and executing Black-Box, Functional, Manual, Performance, and Regression testing; Backend development with Java and Spring Boot and Python; Writing queries, optimizing joins, and indexing strategies using SQL; Writing Dockerfiles using optimized base images to minimize image size and attack surface; Building and tagging images via docker build and pushing to secure registries including Docker Hub, and Amazon ECR with least-privilege credentials; Creating ECS clusters by choosing the right compute option for workload and scalability requirements; Defining container specs and IAM task roles to grant scoped AWS permissions; Creating and managing feature branches, release branches, and hotfix branches using Git; Resolving merge conflicts, writing atomic commits, opening pull and merge requests, review diffs, comment inline, and enforce approvals via branch protection rules using Git; deploying pipelines in Jenkin files.

Job Location: 4900 Memorial Highway, Tampa, FL 33634.

Full-Time.

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