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Kafka Remote Jobs in Virginia (NOW HIRING)

PhoenixTeam

Kafka Engineer

Arlington, VA · Remote

$100K - $130K/yr

Overview The Kafka Engineer / Administrator / Developer is a key member of the program technical ... Location: 100% Remote (US-based only) * Hours: 40 hours/week, availability during core business ...

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 ...

McBride

Senior Full Stack Java Developer

Vienna, VA · Remote

$135K - $140K/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 ...

My3Tech Inc

BigData/ML Engineer

Mclean, VA · Remote

$60/hr

Bigdata/ML Engineer Remote 06+ Months End Client: Target Rate: $60/h on C2C Team would like them to ... like Kafka, JMS, Avro, Protobuf) is a plus. · Experience with one or more cloud deployment ...

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 ...

540

Software Engineer (Contract)

Arlington, VA · Remote

Remote within the continental United States, East Coast working hours Citizenship & Clearance ... Implement asynchronous messaging patterns (Kafka) for distributed systems * Design and maintain ...

GRVTY

Data Engineer with Security Clearance

Chantilly, VA · On-site +1

$118K - $142K/yr

... Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

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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 May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 62% In-person, and 38% Remote job distribution.
Kafka Engineer

Kafka Engineer

PhoenixTeam

Arlington, VA • Remote

$100K - $130K/yr

Full-time

Posted 7 days ago

Job description

Overview


The Kafka Engineer / Administrator / Developer is a key member of the program technical team, supporting large-scale data streaming, system integration, and platform modernization initiatives. This role is responsible for designing, developing, administering, and optimizing Apache Kafka clusters and event-driven architectures that support high-volume, mission-critical data flows. The Kafka Engineer works closely with Federal Government stakeholders, architects, developers, DevOps teams, API Gateway (APIGW) teams, and backend system owners to ensure reliable, secure, and scalable event streaming pipelines. This role plays a critical part in enabling real-time data integration, microservices communication, and operational resilience across complex enterprise systems.

Key Functions

Kafka Engineering & Administration

  • Design, build, administer, and maintain Kafka clusters across development, test, and production environments.
  • Manage Kafka topics, partitions, brokers, replication, retention policies, and access controls.
  • Monitor Kafka performance, availability, throughput, and latency; proactively identify and resolve issues.
  • Perform capacity planning, tuning, upgrades, patching, and disaster recovery planning for Kafka environments.
  • Implement and maintain high availability and fault-tolerant Kafka configurations.

Event Streaming & Integration

  • Develop and support event streaming pipelines using Kafka for real-time and near-real-time data processing.
  • Integrate Kafka with API Gateway (APIGW)-based microservices and downstream backend systems.
  • Design and implement Kafka producers, consumers, and connectors (e.g., Kafka Connect) to support system integrations and ETL/data movement needs.
  • Collaborate with application teams to define event schemas, topics, and data contracts.
  • Ensure reliable message delivery, data integrity, and error handling across streaming workflows.

Security, Compliance & Operations

  • Implement Kafka security best practices, including authentication, authorization, encryption in transit, and auditing.
  • Ensure Kafka implementations comply with CMS security, data governance, and operational standards.
  • Support DevSecOps practices, CI/CD pipelines, and infrastructure-as-code approaches where applicable.
  • Participate in incident response, root cause analysis, and operational readiness activities.

Collaboration & Documentation

  • Work closely with architects, developers, DevOps engineers, and system administrators to support solution design and delivery.
  • Document Kafka architectures, configurations, operational procedures, and integration patterns.
  • Provide technical guidance, troubleshooting support, and knowledge transfer to internal teams.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 3+ years of experience developing, administering, and supporting Apache Kafka in enterprise environments.
  • Hands-on experience managing Kafka clusters, topics, partitions, and event streaming pipelines.
  • Experience integrating Kafka with microservices, API Gateways (APIGW), and backend systems.
  • Strong understanding of event-driven architectures, messaging patterns, and data streaming concepts.
  • Experience with Linux-based environments and command-line administration.
  • Strong troubleshooting and performance tuning skills.
  • Ability to clearly communicate technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications

  • Experience supporting federal healthcare programs.
  • Experience working in Agile, Scrum, and/or DevSecOps environments.
  • Familiarity with cloud-based Kafka deployments (AWS MSK or similar managed Kafka services).
  • Experience with CI/CD pipelines and automation tools.
  • Knowledge of cloud security concepts and secure data transmission.
  • Experience with monitoring tools and observability platforms for Kafka (e.g., Prometheus, Grafana, CloudWatch).
  • Familiarity with schema management tools (e.g., Schema Registry).
  • Knowledge of containerized environments and orchestration tools (Docker, Kubernetes) is a plus.

Position Details

  • Employment Type: Full-Time, W2
  • Location: 100% Remote (US-based only)
  • Hours: 40 hours/week, availability during core business hours
  • Start Date: ASAP
  • Eligibility: Must be eligible to obtain a Public Trust clearance
  • Salary: $100,000 - $130,000 (commensurate with experience)

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