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Kafka Remote Jobs (NOW HIRING)

Namyan LLC

Java Solution Architect - Remote

Boston, MA · Remote

$60 - $62/hr

Remote Summary: We are seeking an experienced Solution Architect with strong expertise in Node.js, ... Provide architectural guidance on event-driven systems (Kafka, RabbitMQ, AWS Event Bridge) for ...

Navtech, Inc.

Java Backend Architect

Minneapolis, MN · On-site +1

$65.75 - $88.75/hr

REMOTE Duration : 12 month plus Mandatory Skills : Java, back end SpringBoot, Kafka, RabbitMQ, and NoSQL databases in the cloud. We are seeking skilled and experienced Senior Engineers to join our ...

VetsEZ

VistA Architect (Remote Opportunity)

Austin, TX · Remote

$62.50 - $82.25/hr

Application and platform experience with FileMan, Cloud Native, Kafka, Podman, and Docker ... Remote work options Qualified applicants will receive consideration for employment without regard ...

STI

FIX developer - REMOTE

Job Title-FIX developer REMOTE Contract Mandatory Areas Mandatory Skills FIX Protocol SQL Oracle ... Familiarity with messaging protocols like AMQP, MQTT, or Kafka

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Kafka Remote information

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$15

$27

$37

How much do kafka remote jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for kafka remote in the United States is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.17 per hour, depending on experience, location, and employer.

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

To thrive as a Kafka Remote Engineer, you need expertise in distributed systems, stream processing, and strong programming skills in languages like Java or Scala, typically supported by a degree in computer science or related technical experience. Familiarity with Apache Kafka, cloud platforms (such as AWS or Azure), and infrastructure-as-code tools is highly valuable, and certifications in Kafka or cloud technologies can be advantageous. Excellent problem-solving, communication, and time management skills help you collaborate effectively in remote, cross-functional teams. These abilities are crucial for ensuring reliable data pipelines, handling large-scale event streaming, and supporting seamless remote operations.

What is the difference between Kafka Remote vs Kafka Developer?

AspectKafka RemoteKafka Developer
Required CredentialsCertifications in Kafka, cloud platforms, or remote work toolsCertifications in Kafka, programming, and possibly cloud services
Work EnvironmentRemote, often distributed teams, flexible hoursTypically in-office or hybrid, focused on development environments
Employer & Industry UsageTech companies, data-driven organizations, remote-first firmsSoftware companies, data engineering teams, tech startups
Search & Comparison IntentLooking for remote Kafka roles, remote Kafka job requirementsSeeking Kafka development roles, coding responsibilities

Kafka Remote roles focus on managing Kafka systems remotely, often emphasizing remote work skills and cloud integration. Kafka Developers primarily write and optimize Kafka code, working in development environments. While both roles require Kafka expertise and certifications, Kafka Remote emphasizes remote work capabilities, whereas Kafka Developer centers on coding and system implementation.

What are Kafka remote jobs?

Kafka remote jobs refer to positions that involve working with Apache Kafka, a distributed event streaming platform, from a remote location rather than in a traditional office setting. These roles can include responsibilities such as developing, maintaining, and monitoring Kafka clusters, building data pipelines, and ensuring efficient data flow in distributed systems. Remote Kafka professionals often collaborate with distributed teams to support real-time data processing and integration projects across various industries. The flexibility of remote work allows companies to access a broader talent pool and enables employees to work from anywhere with a reliable internet connection.

What are some common challenges faced by remote Kafka engineers, and how can they be addressed?

Remote Kafka engineers often encounter challenges such as managing distributed systems across different time zones, ensuring seamless communication with team members, and troubleshooting complex issues without direct access to on-premise resources. To address these challenges, leveraging robust monitoring tools, adopting clear documentation practices, and scheduling regular virtual syncs are essential. Additionally, building strong collaboration with DevOps and other engineering teams helps ensure efficient deployment and maintenance of Kafka clusters.
More about Kafka Remote jobs
What cities are hiring for Kafka Remote jobs? Cities with the most Kafka Remote 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 Kafka Remote jobs? States with the most job openings for Kafka Remote jobs include:
What job categories do people searching Kafka Remote jobs look for? The top searched job categories for Kafka Remote jobs are:
Kafka Remote jobs near you
Infographic showing various Kafka Remote job openings in the United States as of June 2026, with employment types broken down into 18% Full Time, 58% Part Time, and 24% Contract. Highlights an 79% Physical, 9% Hybrid, and 12% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.

Database Engineer with asset management

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Posted 5 days ago

Job description

Position - Database Engineer with asset management with Python and Kafka exp.
Location : Dallas / Denver / Remote.
Must Have:
The following skills are mandatory:
  1. Streaming data processing through KAFKA
  2. ETL/ELT development through Python
  3. Data analysis through SPARK/SPARK SQL
  4. GCP public cloud

Job description:
Candidate is expected to profile data, understand the characteristics of data, identify outliers and anomalies within data, discuss with stakeholders to define cleansing, transformation rules. Based on the rules defined, build data pipelines (ETLs/ELTs) in Python. Must have strong experience in handling with Streaming data using Kafka. (Must have )
  • Must have strong experience and thorough knowledge in SPARK, Python, Airflow, Snowflake or BigQuery and Google cloud in general.
  • Must possess good design skills pertaining to processing Data in Motion, Data at Rest, ETL/ELT frameworks (Error & warning handling, Audit & reconciliation, process controls)
  • Must have strong experience in analyzing data (SPARK, SPARK-SQL & ANSI SQL) and building data pipelines (Python, Spark, Kafka)
  • Must have good knowledge in all aspects of data management and prior experience in asset management is mandatory.
  • Must have good understanding of Asset management business domain

Apply