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Kafka Engineer Jobs in Indiana (NOW HIRING)

Data Engineer

Chandler, IN · On-site

$82.66 - $137.76/hr

... data engineering including hands-on experience working with Cloud data solutions: creating ... Hands-on experience developing data flows using Kafka, Flink, and Spark streaming Must Have: * GCP ...

New

Communication between services is done using Apache Kafka, and communication with the front end is done using GraphQL. The development team is 25 people, with a team of 7 backend developers and it ...

Azure Cloud IOT Engineering Lead

Indianapolis, IN · On-site

$53.25 - $71.25/hr

Oversee integration of Azure IoT Hub/IoT Edge , Event Hub or Kafka, schema registry, and edge data ... Support DevOps team on CI/CD, blue/green and canary deployments, and operational runbooks.

DevOps Engineer

Warsaw, IN · On-site

$64 - $97/hr

... s Engineer to join our team. As a DevOps Engineer, you will architect and operate scalable ... Hands-on experience with Kafka (MSK/Apache Kafka) and high-performance caching layers like Redis ...

Senior Cloud Engineer with Security Clearance

Crane, IN · On-site

$55.75 - $74.50/hr

MANTECH seeks a motivated, career and customer-oriented Senior Cloud Engineer to join our team in ... Familiarity with high-volume data streaming and pipeline tools such as Apache Kafka. * Experience ...

Senior Cloud Engineer

Crane, IN · On-site

$55.75 - $74.50/hr

MANTECH seeks a motivated, career and customer-oriented Senior Cloud Engineer to join our team in ... Familiarity with high-volume data streaming and pipeline tools such as Apache Kafka. * Experience ...

MANTECH seeks a motivated, career and customer-oriented Senior Cloud Engineer to join our team in ... Familiarity with high-volume data streaming and pipeline tools such as Apache Kafka. * Experience ...

Data Engineer | TMB

Warsaw, IN · On-site

$49 - $71/hr

As a Data Engineer , you will be responsible for: * Building and maintaining processes for ... Leveraging and integrating data from various types of source systems, including Kafka, MQ, SFTP ...

Senior Java Developer

Indianapolis, IN · On-site

$54.75 - $69.75/hr

Job ID: (802301) Senior Java Developer Location: Indianapolis, IN 46204 Client: IN-DCS Duration: 1 ... Kafka, RabbitMQ, or AWS SQS. * Resource must have hands-on experience deploying Java-based ...

Senior Java Developer

Indianapolis, IN · On-site

$54.75 - $69.75/hr

IN-DCS-Senior Java Developer Job Type: Hybrid- Contract Duration: 6 months + Extension Location ... Strong experience with Kafka, RabbitMQ, AWS SQS, or similar messaging technologies * Experience ...

IN-DCS-Senior Java Developer

Indianapolis, IN · On-site

$50.25 - $64/hr

Spark Tek Inc is seeking an experienced Java developer with expertise in Spring Boot and REST API ... Kafka, RabbitMQ, or AWS SQS. • Resource must have hands-on experience deploying Java-based ...

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

We are an engineering and innovation company working in different areas. Within the IT sector we ... Apache Kafka * R * BBDD SQL * Metodologias Agiles: SCRUM * Machine learning * Big Data ...

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Showing results 1-20

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.

Data Engineer

Themesoft Inc

Chandler, IN • On-site

$82.66 - $137.76/hr

Other

Posted 2 days ago

New


Job description

Job Description:
  • Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps
  • Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc.
  • Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities
  • 5 plus years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing
  • 3 plus years of experience with Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, BigQuery, Data Proc, Cloud Composer
  • Hands-on experience developing data flows using Kafka, Flink, and Spark streaming
Must Have:
  • GCP - 5 to 6 years.
  • AI exposure - 6 months to a year
  • Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities
  • 5 plus years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing
  • 3 plus years of experience with Data Lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, Big Query, Data Proc, Cloud Composer
  • Hands-on experience developing data flows using Kafka, Flink, and Spark streaming
In this role candidates will:
  • Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps
  • Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc.
  • Work within a matrix org. with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority

LOCATION - (Preferred) CHANDLER, CHARLOTTE, MINNESOTA, LAS COLINAS

Contract

Hybrid

229597-1

12+ Months

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