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Entry Level Kafka Jobs (NOW HIRING)

MedReview

ETL Engineer

New York, NY · On-site

$120/hr

This is not an entry-level role. You will be working with modern data tools and large datasets ... Integrate data from multiple sources (APIs, SQL Server, cloud storage, Kafka/Event Hubs) * Monitor ...

MedReview

ETL Engineer

Manhattan, NY · On-site

This is not an entry-level role. You will be working with modern data tools and large datasets ... Integrate data from multiple sources (APIs, SQL Server, cloud storage, Kafka/Event Hubs) * Monitor ...

Redolent, Inc.

Java developer

Bentonville, AR · On-site

$44.75 - $57.75/hr

Spring Boot framework , Kafka , Cassandra (No sql) , RDBMS ( Azure sql) , Angualr4 , ORM • What ... short? Entry level and not living up to presented skills * Expected Overtime per month : 0

Whoop

Software Engineer I (Backend)

Boston, MA · On-site

$105K - $145K/yr

For those graduating in the fall of 2026 seeking entry level roles, we kindly ask that you check ... Interest in distributed systems, event-driven architectures (e.g., Kafka or similar technologies ...

All JobsKafka JobsEntry Level Kafka Jobs

Entry Level Kafka information

See salary details

$10

$19

$26

How much do entry level kafka jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for entry level kafka in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

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

AspectEntry Level KafkaEntry Level Data Engineer
Required CredentialsBasic understanding of Kafka, some certifications optionalKnowledge of Kafka, SQL, Python; certifications like Google Cloud Data Engineer helpful
Work EnvironmentFocus on message streaming, real-time data processingBroader data pipeline development, including storage and analysis
Industry UsageUsed in companies with real-time data needs, tech and finance sectorsUsed across industries for data integration, analytics, and BI

Entry Level Kafka roles typically focus on understanding Kafka's core concepts and basic message streaming tasks, while Entry Level Data Engineer positions involve broader data pipeline responsibilities, including working with databases and data processing tools. Both roles require some knowledge of data systems, but Data Engineer roles often demand a wider skill set and more comprehensive certifications.

More about Entry Level Kafka jobs
What are the most commonly searched types of Kafka jobs? The most popular types of Kafka jobs are:
What job categories do people searching Entry Level Kafka jobs look for? The top searched job categories for Entry Level Kafka jobs are:
Entry Level Kafka jobs near you
Infographic showing various Entry Level Kafka job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $39,629 per year, or $19.1 per hour.

Entry level to Senior level Data Engineers (Multiple Positions)

Ruri Software Technologies LLC

Remote

$108K - $147K/yr

Full-time

Re-posted 10 days ago

Job description

Entry level to Senior level Data Engineers (Multiple Positions)
Remote
Identify, design, and implement internal process improvements: automating manual processes, creating CI/CD pipelines, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Hadoop, Spark, Kafka, SQL databases, AWS Cloud Services big data RDS, Redshift, Storm, Spark-Streaming, object-oriented/object function scripting languages: Python, R, SAS, Java, C++, Scala, MapReduce, HDFS etc. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Must be willing to travel to set up systems to various clients at unanticipated locations across the nation and perform feasibility studies and evaluate user requirements.

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