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Kafka Engineer Jobs in Indiana (NOW HIRING)

GCP Architect

Columbus, IN · On-site

$59.25 - $76.25/hr

... Kafka, Google Pub/Sub, Low-Latency Data Processing Google Cloud Platform (GCP) Google Cloud Platform, BigQuery, Dataflow, Pub/Sub, Vertex AI, Cloud Architecture, GCP Professional Data Engineer, GCP ...

Business Solution Architect

Gary, IN · On-site

$110 - $150/hr

Experience with Kafka for real-time and batch integration (RDBMS Connector, JMS, REST, File, Schema Registry) * Working knowledge of containerization and Azure DevOps * Familiarity with tools such as ...

Quality & Standards Ownership Enforce engineering quality standards including: o coding standards ... Kafka (event streaming concepts, producers/consumers, reliability patterns) Redis (caching ...

Showing results 41-60

Kafka Engineer information

See Indiana salary details

$37.1K

$96.8K

$130.8K

How much do kafka engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for kafka engineer in Indiana is $96,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $110,900.00 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 cities in Indiana are hiring for Kafka Engineer jobs?

Cities in Indiana with the most Kafka Engineer job openings:

Infographic showing various Kafka Engineer job openings in Indiana as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $96,824 per year, or $46.5 per hour.

ConvergeProsperity - Product Forward Deployed Engineer, BankingSuite (Manager) - Innovation_Deliv...

Deloitte

Indianapolis, IN • On-site

Full-time

Re-posted 4 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

The Team

Are you looking for a unique opportunity with both start-up spirit AND enterprise strength? Deloitte's Converge for FSI business offers both! We are looking for a talented individual with an innovative mindset to join the Converge for FSI team in our mission to develop differentiated financial services products that achieve product-market fit. This role is focused on BankingSuite, a managed composable banking platform that helps regional, universal, and community banks launch new digital product propositions & services and transform the digital customer experience. This is a great opportunity to be on the frontlines of Deloitte's innovation & product strategy while staying close to industry/sector priorities.

Recruiting for this role ends on 09/01/2026.

Work You'll Do

We are looking for a highly skilled and client-facing Forward Deployed Engineer (FDE) to sit at the intersection of engineering excellence and customer partnership. In this role, you will embed directly with our most strategic clients - particularly in the financial services sector - to understand their toughest technical challenges and help them design and implement world-class solutions using our platform. This is a high-impact, high-visibility role with direct influence on product direction.

You are equally comfortable whiteboarding microservices architecture with a client's principal engineer, running a hands-on technical workshop for a team of developers, and standing up a compelling proof-of-concept in days. You thrive in fast-moving, high-stakes environments and know how to earn the trust of deeply technical stakeholders. 

Key Responsibilities 

Client Engagement & Technical Advisory 

  • Serve as the primary technical point of contact for strategic client accounts, building deep relationships with architects, engineers, and technical leaders 
  • Lead discovery sessions to understand client architectures, pain points, and business objectives 
  • Translate complex technical concepts into clear, compelling narratives for both technical and non-technical audiences 

Solution Design & Architecture 

  • Collaborate with client architects and internal engineering teams to design scalable, production-ready solutions 
  • Provide authoritative guidance on microservices architecture, event-driven systems, and cloud-native deployment patterns 
  • Review and advise on client system designs, identifying risks and recommending best practices 

Proof of Concepts & Demos 

  • Rapidly prototype and build POCs that demonstrate platform value in the context of a client's real-world use cases 
  • Own and deliver polished, technically rigorous demos tailored to the client's specific technology stack and business domain 
  • Maintain a library of reusable demo assets and reference implementations 

Workshops & Enablement 

  • Design and facilitate deep-dive technical workshops, hackathons, and onboarding bootcamps for client engineering teams 
  • Produce high-quality technical documentation, runbooks, and integration guides 
  • Accelerate client time-to-value by enabling their teams to build confidently and independently 

Feedback & Internal Collaboration 

  • Act as the voice of the customer - surface product gaps, integration friction, and feature requests to internal product and engineering teams 
  • Partner with Sales, Solutions Architecture, and Product to shape the technical go-to-market strategy 

The successful candidate will possess

Core Technical Skills 

  • Deep expertise in Java and Spring Boot, including building production-grade microservices 
  • Strong understanding of event-driven architecture - Kafka, event sourcing, CQRS, async messaging patterns 
  • Hands-on experience with microservices design principles: service decomposition, API design, resiliency patterns, observability 
  • Proficiency across multi-cloud environments, with AWS as a primary platform; working knowledge of Azure and GCP 
  • Familiarity with containerization and orchestration (Docker, Kubernetes) 

Emerging Technology 

  • Exposure to Agentic AI frameworks and tooling - including LangGraph, LangChain, or similar orchestration frameworks 
  • Practical understanding of LLM integration patterns, prompt engineering, and AI-powered application design 
  • Interest in staying current with the rapidly evolving AI/ML landscape and translating it into client-relevant use cases 

Soft Skills & Presence 

  • Exceptional communicator - able to lead technical conversations with senior engineers and C-suite stakeholders alike 
  • Strong facilitation skills for running workshops, design reviews, and working sessions 
  • Self-directed, highly organized, and comfortable managing multiple client engagements simultaneously 
  • Natural curiosity and a bias for building - you'd rather spin up a demo than write a slide about one 

 Additional Key Experience

  • Experience with CI/CD pipelines and DevSecOps practices 
  • Contributions to open-source projects or public technical content (talks, blogs, repos) 
  • Prior experience in a startup or high-growth SaaS environment 
  • Relevant cloud certifications (AWS Solutions Architect, GCP Professional, etc.) 

Qualifications 

Required:

  • 8+ years of software engineering experience, with significant time spent in client-facing, solutions engineering, or field engineering roles; background in financial services (banking, capital markets, payments, insurance, or fintech) strongly preferred 
  • Bachelor's Degree in Engineering, Business, or equivalent field; Advanced Degree is a plus - equivalent work experience may act as a substitute for degree requirements 
  • Ability to travel 20-30%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500-$266,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

The Team

Are you looking for a unique opportunity with both start-up spirit AND enterprise strength? Deloitte's Converge for FSI business offers both! We are looking for a talented individual with an innovative mindset to join the Converge for FSI team in our mission to develop differentiated financial services products that achieve product-market fit. This role is focused on BankingSuite, a managed composable banking platform that helps regional, universal, and community banks launch new digital product propositions & services and transform the digital customer experience. This is a great opportunity to be on the frontlines of Deloitte's innovation & product strategy while staying close to industry/sector priorities.

Recruiting for this role ends on 09/01/2026.

Work You'll Do

We are looking for a highly skilled and client-facing Forward Deployed Engineer (FDE) to sit at the intersection of engineering excellence and customer partnership. In this role, you will embed directly with our most strategic clients - particularly in the financial services sector - to understand their toughest technical challenges and help them design and implement world-class solutions using our platform. This is a high-impact, high-visibility role with direct influence on product direction.

You are equally comfortable whiteboarding microservices architecture with a client's principal engineer, running a hands-on technical workshop for a team of developers, and standing up a compelling proof-of-concept in days. You thrive in fast-moving, high-stakes environments and know how to earn the trust of deeply technical stakeholders. 

Key Responsibilities 

Client Engagement & Technical Advisory 

  • Serve as the primary technical point of contact for strategic client accounts, building deep relationships with architects, engineers, and technical leaders 
  • Lead discovery sessions to understand client architectures, pain points, and business objectives 
  • Translate complex technical concepts into clear, compelling narratives for both technical and non-technical audiences 

Solution Design & Architecture 

  • Collaborate with client architects and internal engineering teams to design scalable, production-ready solutions 
  • Provide authoritative guidance on microservices architecture, event-driven systems, and cloud-native deployment patterns 
  • Review and advise on client system designs, identifying risks and recommending best practices 

Proof of Concepts & Demos 

  • Rapidly prototype and build POCs that demonstrate platform value in the context of a client's real-world use cases 
  • Own and deliver polished, technically rigorous demos tailored to the client's specific technology stack and business domain 
  • Maintain a library of reusable demo assets and reference implementations 

Workshops & Enablement 

  • Design and facilitate deep-dive technical workshops, hackathons, and onboarding bootcamps for client engineering teams 
  • Produce high-quality technical documentation, runbooks, and integration guides 
  • Accelerate client time-to-value by enabling their teams to build confidently and independently 

Feedback & Internal Collaboration 

  • Act as the voice of the customer - surface product gaps, integration friction, and feature requests to internal product and engineering teams 
  • Partner with Sales, Solutions Architecture, and Product to shape the technical go-to-market strategy 

The successful candidate will possess

Core Technical Skills 

  • Deep expertise in Java and Spring Boot, including building production-grade microservices 
  • Strong understanding of event-driven architecture - Kafka, event sourcing, CQRS, async messaging patterns 
  • Hands-on experience with microservices design principles: service decomposition, API design, resiliency patterns, observability 
  • Proficiency across multi-cloud environments, with AWS as a primary platform; working knowledge of Azure and GCP 
  • Familiarity with containerization and orchestration (Docker, Kubernetes) 

Emerging Technology 

  • Exposure to Agentic AI frameworks and tooling - including LangGraph, LangChain, or similar orchestration frameworks 
  • Practical understanding of LLM integration patterns, prompt engineering, and AI-powered application design 
  • Interest in staying current with the rapidly evolving AI/ML landscape and translating it into client-relevant use cases 

Soft Skills & Presence 

  • Exceptional communicator - able to lead technical conversations with senior engineers and C-suite stakeholders alike 
  • Strong facilitation skills for running workshops, design reviews, and working sessions 
  • Self-directed, highly organized, and comfortable managing multiple client engagements simultaneously 
  • Natural curiosity and a bias for building - you'd rather spin up a demo than write a slide about one 

 Additional Key Experience

  • Experience with CI/CD pipelines and DevSecOps practices 
  • Contributions to open-source projects or public technical content (talks, blogs, repos) 
  • Prior experience in a startup or high-growth SaaS environment 
  • Relevant cloud certifications (AWS Solutions Architect, GCP Professional, etc.) 

Qualifications 

Required:

  • 8+ years of software engineering experience, with significant time spent in client-facing, solutions engineering, or field engineering roles; background in financial services (banking, capital markets, payments, insurance, or fintech) strongly preferred 
  • Bachelor's Degree in Engineering, Business, or equivalent field; Advanced Degree is a plus - equivalent work experience may act as a substitute for degree requirements 
  • Ability to travel 20-30%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

The wage range for this...


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