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Kafka Engineer Jobs in Springfield, MA (NOW HIRING)

ExlService Holdings, Inc.

Manager

Hartford, CT · On-site

CI/CD pipelines and DevOps practices * GitHub and modern source control practices * Experience developing and supporting event-driven and streaming solutions using technologies such as Kafka or ...

ExlService Holdings, Inc.

Manager

Hartford, CT · On-site

Collaborate with product owners, architects, data engineers, and business stakeholders to define and deliver technical solutions. * Design and support streaming and messaging solutions using Kafka or ...

Info Dinamica Inc

Data Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

... data engineering and application development. Extensive experience with AWS cloud services ... Experience with Apache Kafka or similar messaging/event streaming platforms. Strong understanding ...

Travelers

Sr Software Engineer

Hartford, CT · On-site

$139K - $230K/yr

Travelers is seeking a Senior Software Engineer to join our organization as we grow and transform ... Understanding of and experience with eventing systems (e.g., Kafka) * Experience with relational ...

The Whiteside Agency

Sr Software Engineer

Hartford, CT · On-site

$139K - $230K/yr

Travelers is seeking a Senior Software Engineer to join our organization as we grow and transform ... Understanding of and experience with eventing systems (e.g., Kafka) * Experience with relational ...

RAKS Group LLC

Salesforce Tech Lead

Hartford, CT · On-site

$56 - $74.25/hr

Health Cloud expertise Salesforce Platform Developer 1 (PD1) Certification Agent force Specialist ... and event streams (Kafka/MQ). Lead delivery: story grooming, solution design, code reviews ...

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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.

Salesforce Lead Developer, CT

Cyma Systems Inc

East Hartford, CT • On-site

$55 - $73/hr

Other

Posted 20 days ago

Job description

Lead Salesforce Lead Developer + agent force 

 Location is US, preferably Hartford, CT. Should be able to work in the EST time zone.

Final interview is in person in hartford, CT

 

Required Qualifications

  • 10+ years of Salesforce experience leading enterprise-scale implementations and delivery teams.
  • Deep expertise in Salesforce Health Cloud; Data Cloud experience strongly preferred.
  • Salesforce Platform Developer I certification required; additional Salesforce certifications preferred (PD II, Architect, Agentforce Specialist).
  • Strong hands-on expertise with:
    • Apex, SOQL/SOSL
    • Lightning Web Components (LWC)
    • Salesforce Flow and Platform Automation
    • Service Cloud and Health Cloud
    • REST APIs and Salesforce integrations
    • FHIR/HL7 integrations,
    • event-driven architecture (Kafka)
  • Data Cloud experience preferred
  • Experience building Agentforce solutions and AI-powered agents.
  • Experience with Salesforce DevOps and CI/CD tools (Git, AutoRABIT/Copado, Salesforce CLI).
  • Strong healthcare payer/provider domain knowledge, including claims, case management, or workflow automation.
  • Experience leading Agile/SAFe teams across onshore and offshore delivery models.
  • Excellent communication, stakeholder management, and leadership skills.

Key Responsibilities

  • Lead the design, development, and delivery of Health Cloud and Service Cloud solutions supporting claims workflow and operational transformation.
  • Architect scalable integrations using REST APIs, FHIR, Kafka, MQ, and enterprise event-driven patterns.
  • Own end-to-end technical delivery, including solution design, estimation, code reviews, performance optimization, release management, and CI/CD.
  • Lead and mentor global development teams, establishing Salesforce best practices, design standards, and governance.
  • Ensure compliance with HIPAA, PHI, security, audit, and access-control requirements.
  • Partner with Product, Architecture, Security, and Data teams to drive innovative, scalable Salesforce and AI-enabled solutions.
  • Champion adoption of modern Salesforce capabilities, including Agentforce, Data Cloud, automation, and AI.

What Makes This Role Successful

  • Combines deep Salesforce technical expertise with strong delivery leadership.
  • Drives modernization through Health Cloud, Data Cloud, and AI-enabled capabilities.
  • Balances hands-on architecture with team leadership and business partnership.
  • Delivers scalable, secure solutions that improve claims operations and member experience.
 
 
 

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