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Kafka Remote Jobs in Virginia (NOW HIRING)

NAVA Software Solutions

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years ... Kafka, Flink, or Spark Streaming) * 3+ Years Experience in open source frameworks (Spring Boot ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with Kafka ecosystem tools, such as Kafka Connect and Kafka Streams * Experience with ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0244707 Location: Chantilly,VA,US Share job via: Share Data ... Experience with PostgreSQL or Kafka * Experience with AWS services * Experience with designing and ...

Constellis

Full Stack Developer

VA · On-site +1

Create and maintain REST APIs and Kafka consumers for automation and alerting workflows ... Work is typically based in a remote environment and subject to frequent interruptions. Business ...

McBride

Senior Full Stack Java Developer

Arlington, VA · Remote

$125K - $130K/yr

This is a remote position. McBride Consulting is seeking an experienced Senior Full Stack Java ... REST APIs * Kafka / RabbitMQ * MySQL / Oracle / PostgreSQL * MongoDB / DynamoDB * Docker ...

NT Concepts

Java API Developer

Herndon, VA · Remote

$52.50 - $67.75/hr

Local to the DC Metro Area, Remote Flexible Responsibilities As a Mid-Level Java Developer, you ... Configure and manage data ingest components in a cloud platform, such as Apache Kafka, NiFi, FTP ...

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Kafka Remote information

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.
What are the most commonly searched types of Kafka jobs in Virginia? The most popular types of Kafka jobs in Virginia are:
What are popular job titles related to Kafka Remote jobs in Virginia? For Kafka Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Kafka Remote jobs in Virginia look for? The top searched job categories for Kafka Remote jobs in Virginia are:
What cities in Virginia are hiring for Kafka Remote jobs? Cities in Virginia with the most Kafka Remote job openings:
Kafka Remote jobs near you
Infographic showing various Kafka Remote job openings in Virginia as of July 2026, with employment types broken down into 32% Full Time, and 68% Contract. Highlights an 100% Remote job distribution.

Remote DevOps Engineer (Kafka/Kong)

Pennant Solutions Group

Richmond, VA • Remote

$52.25 - $71.50/hr

Contractor

Re-posted 10 days ago

Job description

Senior Kafka Administrator/Kong Administrator with DevOps Experience
Remote-Contract to Hire

Our client is seeking a skilled and experienced Senior Kafka/Kong Administrator to join our client's IT operations team. As a Kafka/Kong Administrator, you will be responsible for the deployment, configuration, maintenance, and monitoring of our Kafka clusters and Kong gateways, ensuring the high availability, reliability, and optimal performance of our real-time platforms. Your role will be crucial in supporting our data engineering and application teams to deliver seamless data integration and processing.
Responsibilities: Kafka Administration
1. Cluster Deployment and Configuration:
  • Deploy and configure Kafka clusters following best practices for scalability, security, and performance.
  • Collaborate with cross-functional teams to gather requirements and design Kafka infrastructure to meet data streaming needs.
  • Manage topics, partitions, replication factors, and broker configurations to ensure efficient data distribution and fault tolerance.
2. Monitoring and Performance Optimization:
  • Implement monitoring and alerting solutions to proactively identify and address performance bottlenecks, resource constraints, and anomalies.
  • Conduct regular performance testing, load testing, and capacity planning to ensure clusters can handle anticipated workloads.
3. High Availability and Disaster Recovery:
  • Design and implement high-availability strategies, including failover mechanisms and data replication across multiple data centers or cloud regions.
  • Develop and maintain disaster recovery plans and procedures to minimize data loss and downtime in the event of failures.
4. Security and Compliance:
  • Implement and manage security measures such as encryption, authentication, and authorization to ensure data privacy and compliance with industry standards.
  • Stay updated on security vulnerabilities and patches, applying necessary updates to maintain a secure Kafka environment.
5. Troubleshooting and Issue Resolution:
  • Diagnose and resolve Kafka-related issues, including performance degradation, data loss, and connectivity problems.
  • Collaborate with development and data engineering teams to troubleshoot consumer/producer application integration with Kafka.
6. Documentation and Knowledge Sharing:
  • Maintain thorough documentation of Kafka configurations, deployment processes, and troubleshooting procedures.
  • Provide training and knowledge sharing sessions to junior team members and other stakeholders.
7. Collaboration and Communication:
  • Collaborate with cross-functional teams, including data engineers, developers, and system administrators, to ensure smooth integration of Kafka into our data ecosystem.
  • Communicate effectively with stakeholders to provide updates on Kafka performance, maintenance, and improvements.
8. Certification as a Confluent Certified Administrator for Apache Kafka (CCAAK) preferred.
Responsibilities: Kong Administration
  • Hands on experience installing and configuring Kong API Gateway as well as integration with existing API frameworks.
  • Describe and configure dataplane security using RBAC, Roles, Workspaces and Teams
  • Configure upstreams and load balancing
  • Create Services, Routes, and Consumers
2. Experienced in the Kubernetes platform
  • Working knowledge of Kong Ingress with Kubernetes\Dockers
3. Excellent knowledge of API design standards, patterns, and best practices especially with OpenAPI 2.0, REST, JSON, XML.
4. Troubleshoot problems on Kong Gateway
  • Distinguish between downstream and upstream networking issues
  • Collecting troubleshooting/debug information
  • Using log files and health and traffic metrics
5. Deep understanding of JWTs and their usage.
6. Preferred certification in Kong Gateway Certified Associate (KGCA)
7. 5+ years of experience with monitoring and troubleshooting. Should be able to monitor and debug platform or application issues.
  • Use Kong Vitals to monitor Kong Gateway’s health and performance
  • Pull metrics using Vitals API

Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
  • 5+ years of hands-on experience in administering Apache Kafka clusters in production environments.
  • 5+ years proficiency in Kafka/Kong architecture, installation, configuration, and tuning.
  • Strong understanding of Kafka internals, including topics, partitions, replication, and consumer/producer APIs.
  • 5+ years of experience with Kafka ecosystem tools such as Kafka Connect, Kafka Streams, and Schema Registry.
  • Knowledge of Linux systems and shell scripting.
  • Strong DevOps background.
  • 5+ years of familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes)
  • Excellent problem-solving skills and the ability to troubleshoot complex issues efficiently.
  • Strong communication skills and the ability to work collaboratively in a team environment.