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Kafka Engineer Jobs in Springfield, MA (NOW HIRING)

Data Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

... such as Kafka, Apache Spark, Java, NoSQL DBs, AWS EMR. Develop data driven solutions utilizing ... data engineers and source data providers. Provide subject matter expertise in the analysis ...

Strong experience with Linux| Java/Scala ecosystem| Spark| Elasticsearch/OpenSearch| Kafka| SQL ... Big Data & Data Engineering Expertise in data ingestion, data modeling, Spark, Hadoop ecosystem ...

Salesforce Technical Lead

Hartford, CT · On-site

$56 - $74.25/hr

Knowledge of REST APIs, Salesforce integrations, FHIR/HL7, and event-driven architecture (e.g., Kafka). * Familiarity with Salesforce DevOps and CI/CD tools (e.g., Git, AutoRABIT/Copado)

Showing results 21-40

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

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

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.

Principal Software Engineer (Health100 Platform)

CVS Health

Hartford, CT • On-site, Remote

$144K - $288K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,370 frontline employees who took The Breakroom Quiz

92nd of 113 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

Health100 is an AInative health technology platform that unifies pharmacies, providers, insurers, PBMs, and digital health solutions into a single, consumerfocused ecosystem. Powered by Google Cloud AI, we're reimagining personalized and connected health experiences.

As a Principal Software Engineer for Health100, you will set the technical direction for cloud-native, event-driven platforms and services. You'll partner with product and architecture leaders to make pragmatic design decisions, mentor senior engineers, and stay hands-on for critical-path components. You will translate prototypes into production systems with clear reliability, security, and performance standards while ensuring strong engineering practices (testing, observability, CI/CD) from day one. Your leadership elevates quality, accelerates delivery, and fosters a culture of craftsmanship and learning.

*Preference is for candidates to work hybrid out of our corporate headquarters in Woonsocket, RI; remote will be considered for candidates not in close proximity to an office.

Responsibilities:

  • Set and own technical vision and strategy across cloud, backend, automation, and platform domains, solving complex problems and driving aligned execution.

  • Serve as senior technical authority for highimpact initiatives, guiding architecture, shaping engineering processes, and ensuring consistent, highquality delivery across teams and partners.

  • Define platform direction and roadmaps by collaborating with engineering leadership, product teams, and the opensource community, influencing frameworks and core system design.

  • Lead solutions from prototype to production, contributing to key frameworks and components while ensuring performance, security, reliability, and operational readiness.

  • Drive innovation and execution excellence by applying deep technical judgment, navigating competing priorities, fostering crossteam alignment, and staying current with emerging technologies and industry standards.


Required Qualifications

  • 10+ years of software development experience, including hands-on Agile delivery and building enterprise-grade distributed systems.

  • 5+ years of development experience in Java, Spring Boot, and Microservices, including 2+ years working with Kafka or other event-driven platforms.

  • 3+ years of experience with cloud computing technologies (GCP, Azure, or equivalent public cloud).

  • 3+ years applying engineering practices for security, resiliency, availability, and scalability in production systems.

  • Experience with AI/generative AI solutions and technologies.


Preferred Qualifications

  • Experience in the health, wellness, or pharmacy domain.

  • Contributions to open-source technology or developed patents.

  • Full-stack development capability.

  • Strong cross-functional collaboration skills with the ability to achieve broader organizational goals.


Education

  • Bachelor's degree in Computer Science, Information Systems, Engineering, related field, or equivalent experience (Highschool diploma plus 4 years relevant work experience).

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00


This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 09/25/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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