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Kafka Remote Jobs in Reston, VA (NOW HIRING)

Data Engineer

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0245373 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with SQL, PostgreSQL, or Kafka * Knowledge of AWS services, including RDS and Aurora

Golang Developer

College Park, MD · Remote

$40 - $45/hr

Golang Developer Location: 100% Remote (EST Preferred) Duration: 6+ months Contract Pay: $40/hr W2 ... Solid experience building and operating distributed data systems: event streaming (Kafka, Kinesis ...

Appian Developer

Sterling, VA · Remote

$90K - $100K/yr

Position Type: Full-time-Remote Role Specific Duties/ Role Responsibilities: Appian Development ... REST and SOAP APIs * Kafka/DataHub event-driven pipelines * Relational databases (Oracle ...

Oracle Cloud Integration Engineer

Vienna, VA · Remote

$57 - $76.25/hr

Hybrid - 3 days onsite, rest remote Overview Seeking a Senior API Developer with strong experience ... Utilize programming skills in Java, Python, Kafka, and PowerShell scripting languages * Participate ...

Oracle Cloud Integration Engineer

Vienna, VA · Remote

$57 - $76.25/hr

Hybrid - 3 days onsite, rest remote Overview Seeking a Senior API Developer with strong experience ... Utilize programming skills in Java, Python, Kafka, and PowerShell scripting languages * Participate ...

The percentage of remote work will vary based on client requirements/deliverables. Specifically, we ... Implement message consumers and producers with Apache Kafka * Integrate with Elasticsearch for real ...

Sr. Software Engineer

Bethesda, MD · On-site +1

$131K - $172K/yr

The percentage of remote work will vary based on client requirements/deliverables. Specifically, we ... Implement message consumers and producers with Apache Kafka * Integrate with Elasticsearch for real ...

Sr. Software Engineer

Bethesda, MD · On-site +1

$131K - $172K/yr

The percentage of remote work will vary based on client requirements/deliverables. Specifically, we ... Implement message consumers and producers with Apache Kafka * Integrate with Elasticsearch for real ...

Senior Engineer

Arlington, VA · On-site +1

$110K - $180K/yr

Key technologies include Kafka, Kafka Streams, Pinot, Java, Scala, and Kubernetes. Your involvement ... Remote, hybrid, and flexible work options * Team off-site in fun places! * Generous Referral ...

Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public ... Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch ...

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Kafka Remote information

See Reston, VA salary details

$16

$28

$39

How much do kafka remote jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for kafka remote in Reston, VA is $28.79, according to ZipRecruiter salary data. Most workers in this role earn between $22.50 and $34.52 per hour, depending on experience, location, and employer.

What is a Kafka remote job?

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 the key skills and qualifications needed to thrive as a Kafka remote engineer?

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 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 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 popular job titles related to Kafka Remote jobs in Reston, VA?

For Kafka Remote jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Kafka Remote jobs in Reston, VA look for?

The top searched job categories for Kafka Remote jobs in Reston, VA are:

What cities near Reston, VA are hiring for Kafka Remote jobs?

Cities near Reston, VA with the most Kafka Remote job openings:

Infographic showing various Kafka Remote job openings in Reston, VA as of August 2026, with employment types broken down into 88% Full Time, 3% Part Time, and 9% Contract. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution, with an average salary of $59,885 per year, or $28.8 per hour.

Senior Data Platform Engineer

Washington, DC • Remote

NuAxis Innovations
501 - 1,000 employees

$120K - $163K/yr

Full-time

Posted 17 days ago


Job description

We are a federal IT company on a mission to make customer experience (CX) the center of every government solution.

Technology is our Passion. People are our Purpose.

We know tech, but we love people. NuAxis is home to thinkers and feelers, engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us; it's a state of mind.

We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated Senior Data Platform Engineer for a remote federal program opportunity on our team.

Position Overview

The Senior Data Platform Engineer serves as a hands-on technical lead for the Federal Client Datahub, an event-driven data platform built on the Confluent Platform for Apache Kafka and deployed on Kubernetes. The role owns the full portfolio of Java microservices - Kafka consumers, producers, and Kafka Streams applications, as well as non-Kafka services such as REST API web services - along with the deployment and ongoing maintenance of the supporting Confluent Platform and an Elasticsearch cluster. Beyond the data platform, this position serves as solution architect, technical subject matter expert, and senior technical decision maker for the wider FLAG system, and acts as a technical point of contact for DOL stakeholders and integrating federal partner teams.

Key Responsibilities

  • Kafka Streams application development - Design, build, and maintain stream processing applications including stateful topologies, foreign-key joins, and state stores.
  • Microservice and integration development - Build and maintain Spring Boot services, Kafka consumer/producer applications, and REST API web services integrating with Oracle, MySQL, MongoDB, Elasticsearch, managed search services, and downstream partner APIs.
  • Kubernetes workload engineering - Own the deployment topology for all platform workloads: StatefulSets with persistent state, liveness/readiness/startup probes, pod anti-affinity, PodDisruptionBudgets, graceful shutdown, and resilience to node lifecycle and consolidation events.
  • Production operations and incident response - Serve as senior escalation for production issues; perform root-cause analysis across the stack (JVM, Kafka client, DNS/networking, database, container runtime) and produce written RCAs with corrective actions.
  • Confluent Platform and Elasticsearch administration - Deploy, configure, upgrade, and tune the Confluent Platform components (brokers, Connect, Schema Registry, REST Proxy) and the Elasticsearch cluster; manage schema compatibility, connector configuration, consumer group offsets, index lifecycle and versioned index migrations, topic sizing, and storage expansion.
  • Database and query engineering - Own data access and query performance across Oracle, MySQL, MongoDB, Elasticsearch, and Azure Search indexes - including PL/SQL and reporting views, document modeling and aggregation pipelines, index mappings and query DSL, and search index schema design; diagnose performance regressions and environment-specific data issues.
  • Solution architecture and technical leadership - Provide architectural direction and technical decision-making for the wider FLAG system, including integration points with the Appian application and the public-facing web applications.
  • Stakeholder engagement - Act as a technical point of contact for DOL government stakeholders and integrating federal partner teams; translate technical constraints into clear options and tradeoffs for non-engineering decision makers.
  • Platform modernization - Lead framework and runtime upgrades across the codebase (JDK, Spring Boot, serialization libraries, client SDKs), including compatibility analysis, remediation, and phased rollout through environments.
  • Security compliance and vulnerability remediation - Execute recurring container image scan cycles; remediate CVEs via Dockerfile changes and dependency overrides, and author false-positive and risk-acceptance justifications that meet federal POA&M documentation standards.
  • Observability and monitoring - Build dashboards, log-based metrics, and alerting for service health and availability; instrument applications for meaningful operational signals.
  • Technical communication and mentorship - Write design documents, migration plans, and recommendation memos; mentor other developers on the platform and its operational practices.

Technical Skills and Capabilities

Core Languages and Frameworks

  • Java (required)
  • Spring Boot, Spring Framework, Spring Data
  • Maven multi-module builds
  • SQL / PL-SQL

Streaming and Messaging

  • Apache Kafka (brokers, topics, partitions, consumer groups, offsets, KRaft)
  • Kafka Streams (stateful processing, joins, state stores, application reset, rebalancing/threading model)
  • Confluent Platform (Schema Registry, Kafka Connect, REST Proxy)
  • Apache Avro and schema evolution/compatibility
  • Kafka Connect connectors (JDBC sink/source, Elasticsearch sink)

Cloud and Container Platform

  • Kubernetes (Deployments, StatefulSets, PVCs, probes, PDBs, anti-affinity, HPA, ConfigMaps/Secrets)
  • Docker and container image hardening
  • Helm, kubectl
  • AWS (EKS, EC2, S3, IAM, CloudWatch, Lambda, EventBridge, ECR)
  • Azure exposure (desirable)

Data Stores and Search

  • Oracle Database (query tuning, stored procedures, views, execution plans)
  • MySQL
  • Elasticsearch (index design, aliases, versioned index migration, Java client, PIT pagination, cluster deployment and upgrades)
  • MongoDB (CosmosDB Mongo API)
  • Managed search services such as Azure AI Search

Operations, Security, and Tooling

  • Observability: CloudWatch Logs Insights, log-based metrics, dashboards, alerting
  • Container vulnerability scanning and remediation
  • Git, CI/CD pipelines, Linux development environments
  • REST API design and OpenAPI/Swagger documentation

Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now!!

Our Profile:

We are an IT company with a unique mission-to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed.Time after time, programs failed because the focus was on the tools and products and not the people using them.  Learn More.

NuAxis is an Equal Opportunity/Affirmative Action Employer, including Vets and Disabled. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!

#NAI #DICE

Employment Type: Full time