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Kafka Engineer Jobs in Springfield, MA (NOW HIRING)

Nanda Technologies

Solutions Architect

Hartford, CT · On-site

$63.50 - $83.75/hr

Experience designing REST APIs that facilitate a strong developer experience or simplify systems integration. * Experience designing systems that leverage Kafka for messaging/streaming. * Experience ...

Georgia IT, Inc.

Senior .NET Architect

Windsor, CT · On-site

... Kafka/RabbitMQ & 3rd‐party services • Experience setting up CI/CD & DevOps strategy • Experience implementing enterprise security best practices (OAuth2, JWT, SSO) • Strong understanding of ...

Infosys

Java Full Stack Engineer

Hartford, CT · On-site

$53 - $68.25/hr

Required Skill and Experience • Experience in Full-stack software engineering with proficiency in ... Kafka or MQ, OpenShift deployments, JPA, XML, XSLT, JAXB, JAXP, MVC, Junit, test framework, various ...

Robotics Technologies LLC

Sr ETL Architect

Windsor, CT · On-site

$125 - $150/hr

Experience with streaming technologies (Kafka, Kinesis, Spark Streaming) is a plus. * Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC) for data deployments. * Excellent ...

TecTammina

Technology Lead - Big Data Developer

Hartford, CT · On-site

$53.50 - $69.25/hr

... kafka etc Should have worked on at least 2 projects in Big Data Basic knowledge of Unix and Shell scripting Analytical skills Experience and desire to work in a Global delivery environment The job ...

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All JobsKafka Engineer JobsKafka Engineer Jobs in Springfield, MA

Kafka Engineer information

See Springfield, MA salary details

$38.9K

$101.4K

$137K

How much do kafka engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for kafka engineer in Springfield, MA is $101,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,700.00 and $116,100.00 per year, depending on experience, location, and employer.

What does a Kafka engineer do?

A Kafka Engineer specializes in designing, building, and maintaining distributed data streaming systems using Apache Kafka. They are responsible for configuring Kafka clusters, ensuring data reliability and scalability, and integrating Kafka with other systems. Kafka Engineers also monitor system performance, troubleshoot issues, and optimize data pipelines to support real-time data processing needs. Their work is essential for organizations that rely on high-throughput, low-latency data streaming for applications such as analytics, event sourcing, and microservices architectures.

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

To thrive as a Kafka Engineer, you need a strong understanding of distributed systems, proficiency in Apache Kafka, and experience with programming languages like Java or Python, often supported by a degree in computer science or a related field. Familiarity with tools such as Kafka Connect, Kafka Streams, monitoring systems (e.g., Prometheus, Grafana), and relevant certifications like Confluent Certified Developer for Apache Kafka are typically required. Problem-solving skills, effective communication, and the ability to work collaboratively make someone stand out in this position. These skills and qualities are crucial to ensure reliable data pipelines, seamless integration, and efficient troubleshooting in mission-critical, real-time data environments.

How does a Kafka engineer typically collaborate with development and operations teams?

Kafka Engineers play a key role in bridging the gap between development and operations teams. They work closely with developers to design and implement event-driven architectures using Kafka, ensuring data flows reliably between services. Simultaneously, they partner with operations teams to deploy, monitor, and maintain Kafka clusters, addressing issues like scalability, fault tolerance, and security. Effective communication and a strong understanding of both software development and infrastructure are essential for success in this collaborative environment.

What is the difference between Kafka Engineer vs Data Engineer?

AspectKafka EngineerData Engineer
Required CredentialsCertifications in Kafka, cloud platforms, programming languagesCertifications in data tools, cloud, SQL, programming
Work EnvironmentFocus on Kafka setup, streaming data, real-time processingBroader data pipeline, storage, and processing tasks
Employer & Industry UsageTech companies, data-driven organizations using KafkaVarious industries managing large data systems
Common Search & ComparisonOften compared for specialization in streaming dataBroader role encompassing multiple data technologies

The Kafka Engineer specializes in designing, implementing, and maintaining Kafka-based streaming data systems, focusing on real-time data processing. In contrast, Data Engineers work on building comprehensive data pipelines, integrating various data sources, and managing storage solutions. While Kafka Engineers focus on Kafka-specific tasks, Data Engineers handle a wider range of data tools and platforms, making their roles complementary but distinct in data infrastructure teams.

What are popular job titles related to Kafka Engineer jobs in Springfield, MA?

For Kafka Engineer jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Kafka Engineer jobs in Springfield, MA look for?

The top searched job categories for Kafka Engineer jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Kafka Engineer jobs?

Cities near Springfield, MA with the most Kafka Engineer job openings:

Kafka Engineer jobs near you
Infographic showing various Kafka Engineer job openings in Springfield, MA as of August 2026, with employment types broken down into 100% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $101,396 per year, or $48.7 per hour.

Solutions Architect

Nanda Technologies

Hartford, CT • On-site

$63.50 - $83.75/hr

Contractor

Re-posted 22 days ago

Job description

 
Job: Solutions Architect(Remote)
Lcation: Hartford, CT
 
Visa: USC, GC & H4EAD 
 
 
Required Skills:
  1. Architectural/technical expertise with cloud especially GCP, Azure, AWS (native, cloud agnostic, container, etc offerings) and cloud/SAAS systems integration.
  2. Experience designing REST APIs that facilitate a strong developer experience or simplify systems integration.
  3. Experience designing systems that leverage Kafka for messaging/streaming.
  4. Experience with RDBMS and/or NoSQL databases (i.e. MongoDB). Understands the benefits and trade-offs of both. Familiar with normalization and denormalization, sharding, and other data-centric patterns
  5. Experience with the design and development of complex systems; employs a disciplined and rigorous approach
  6. Adept at requirements analysis, estimation, systems and application design, and testing
  7. Familiarity with popular Design Patterns.
  8. Excellent collaboration, influencing, and consensus-building skills. Ability to work with persons in all job functions (e.g. product, program, developers, etc).
  9. Excellent verbal and written communications
  10. Ability to manage multiple competing priorities with minimal supervision. Self-directed
  11. A great team player, with demonstrable experience delivering superior software products via Agile methodologies
  12. Experience on an Agile team
  13. Experience with modern languages, frameworks, and technologies such as Java, JavaScript, Node.js, messaging queuing infrastructures, as well as cloud and on-premise infrastructure and services
  14. Experience with distributed computing architectures, including race conditions, parallelism, and concurrency control
  15. Meeting facilitation with stakeholders, partners and team