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Internship Kafka Jobs in Chicago, IL (NOW HIRING)

Databricks

Solutions Engineer

Chicago, IL

We'd love for you to explore our current internship openings on our careers page and submit your ... Spark, Hadoop, Kafka) and architectures is a plus * Aptitude to interact with customers confidently ...

SynergisticIT

Data Scientist

Chicago, IL · On-site

$95K - $150K/yr

Familiarity with data engineering tools such as Spark, Hadoop, or Kafka * Exposure to cloud ... Internship or project experience in data science or data engineering Client Requirements Our U.S ...

Databricks

Solutions Engineer

Chicago, IL · On-site

$121.40K - $167K/yr

We'd love for you to explore our current internship openings on our careers page and submit your ... Spark, Hadoop, Kafka) and architectures is a plus * Aptitude to interact with customers confidently ...

Capital One

Senior Lead Data Engineer

Chicago, IL

At least 6 years of experience in application development (Internship experience does not apply ... Kafka, Spark, Gurobi, or MySQL) * 4+ year experience working on real-time data and streaming ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$105.60K - $139.10K/yr

At least 4 years of experience in application development (Internship experience does not apply ... Kafka, Spark, Gurobi, or MySQL) * 4+ year experience working on real-time data and streaming ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141.60K/yr

At least 4 years of experience in application development (Internship experience does not apply ... Kafka, Spark, Gurobi, or MySQL) * 4+ year experience working on real-time data and streaming ...

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Internship Kafka information

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$17

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How much do internship kafka jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship kafka in Chicago, IL is $17.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.81 per hour, depending on experience, location, and employer.

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

To thrive as a Kafka Intern, you need foundational knowledge in computer science, data streaming concepts, and programming languages like Java or Python, typically supported by relevant coursework or a degree in progress. Familiarity with Apache Kafka, distributed systems, and tools such as Docker or Kubernetes is often expected, along with experience using version control systems like Git. Strong problem-solving skills, effective communication, and a proactive learning attitude help interns stand out in collaborative tech environments. These skills and qualities are essential for efficiently supporting real-time data pipelines and contributing to team projects in dynamic settings.

What types of projects can an intern expect to work on during a Kafka internship?

As a Kafka intern, you are likely to be involved in projects that focus on building, testing, or optimizing data pipelines using Apache Kafka. You may assist in configuring Kafka clusters, developing producers and consumers, and integrating Kafka with other systems. Interns often collaborate closely with engineering teams to troubleshoot real-time data streaming issues and contribute to documentation or automation scripts. This hands-on experience provides valuable exposure to distributed systems and large-scale data processing, which are highly sought after skills in the industry.

What is an Internship Kafka?

An Internship Kafka refers to an internship position focused on working with Apache Kafka, which is an open-source platform used for building real-time data pipelines and streaming applications. Interns in this role typically assist with designing, developing, and maintaining data streaming solutions using Kafka. They may also help in integrating Kafka with other systems, monitoring data flows, and troubleshooting issues. This internship provides hands-on experience with distributed systems and is often sought after by students in computer science or related fields.

What is the difference between Internship Kafka vs Data Engineer?

AspectInternship KafkaData Engineer
Required CredentialsBasic understanding of Kafka, often pursuing related educationDegree in Computer Science or related field, certifications preferred
Work EnvironmentEntry-level, training-focused, internship settingFull-time, professional environment, project-driven
Industry UsageUsed for learning Kafka concepts and toolsDesigning, building, and maintaining data pipelines with Kafka

Internship Kafka roles are designed for beginners gaining foundational knowledge, while Data Engineers are experienced professionals responsible for implementing Kafka in data infrastructure. Internships offer training, whereas Data Engineers handle complex projects. Both roles are essential in data-driven industries, but differ significantly in scope and experience level.

What are the most commonly searched types of Kafka jobs in Chicago, IL? The most popular types of Kafka jobs in Chicago, IL are:
What are popular job titles related to Internship Kafka jobs in Chicago, IL? For Internship Kafka jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Internship Kafka jobs in Chicago, IL look for? The top searched job categories for Internship Kafka jobs in Chicago, IL are:
Internship Kafka jobs near you
Data Analytics Consultant - Data Lake

Data Analytics Consultant - Data Lake

Deloitte

Chicago, IL

Other

Posted yesterday

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services

Job description

Consultant - Cyber Defense & Resilience - Security Operations

Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte could be the place for you. Traditional security programs have often been unsuccessful in unifying the need to both secure and support technology innovation required by the business. Join Deloitte's Cyber Defense & Resilience (D&R) Security Operations team and become a member of the largest group of cybersecurity professionals worldwide.

Recruiting for this role ends on 5/31/2026

The Team

Cyber Defense & Resilience is an integrated team of security and data technologists working  at the intersection cybersecurity, advanced cyber data engineering and the use of AI and ML for cyber defense and operations issues. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards cyber specific solutioning. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently. With Deloitte's AI & Data, our clients have the support they need to continuously develop, innovate, automate, scale, and operate in service of organizational performance and growth.

Cyber Detect & Respond practitioners work with our clients to:

  • Design and modernize large scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement as-a-service based subscription models at scale
  • Harness the potential of bleeding edge cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google Sec Ops and the latest from traditional security providers like Splunk, Crowdstrike, Palo Alto and others.
  • Enable day-to-day operations, maintenance and ongoing enhancements of their data platforms and applications as well as managing and governing the underlying data leveraging standardized, automated and AI enabled Data Ops capabilities
  • Mature their AI and Analytics journey with fluid capacity and flexible capability of AI and Analytics experts complemented with experience hardened assets and curated data sets to experiment with AI and scale their AI and Analytics ambition.

Qualifications:

Required:

  • 1+ years of relevant analytics consulting or industry experience including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.) including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience in statistical analysis, machine learning, and data mining techniques including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support data science workflows including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.) including internships, co-ops, research roles, and other applicable academic or in-school experience
  • Exposure to SOC threat hunting and/or incident response
  • Experience contributing to analytics or cyber transformation workstreams across strategy, design, or implementation
  • Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field; or 4 years equivalent professional experience
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available
Preferred:

  • Experience supporting the design, development, or deployment of enterprise data science or AI solutions
  • Knowledge of AI / ML / Advanced Data Engineering applications for cybersecurity use cases such as detection engineering and threat response acceleration
  • Experience parsing and normalizing cyber or IT telemetry datasets
  • Familiarity with Python machine learning and deep learning libraries such as PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, and SciPy
  • Familiarity with Apache open-source frameworks such as Kafka, Storm, and Spark
  • Ability to manage multiple task assignments while working in a team-oriented environment
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint)
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
#CDRCyber26
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 $88,600 to $163,100.
Qualifications:

Consultant - Cyber Defense & Resilience - Security Operations

Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte could be the place for you. Traditional security programs have often been unsuccessful in unifying the need to both secure and support technology innovation required by the business. Join Deloitte's Cyber Defense & Resilience (D&R) Security Operations team and become a member of the largest group of cybersecurity professionals worldwide.

Recruiting for this role ends on 5/31/2026

The Team

Cyber Defense & Resilience is an integrated team of security and data technologists working  at the intersection cybersecurity, advanced cyber data engineering and the use of AI and ML for cyber defense and operations issues. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards cyber specific solutioning. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently. With Deloitte's AI & Data, our clients have the support they need to continuously develop, innovate, automate, scale, and operate in service of organizational performance and growth.

Cyber Detect & Respond practitioners work with our clients to:

  • Design and modernize large scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement as-a-service based subscription models at scale
  • Harness the potential of bleeding edge cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google Sec Ops and the latest from traditional security providers like Splunk, Crowdstrike, Palo Alto and others.
  • Enable day-to-day operations, maintenance and ongoing enhancements of their data platforms and applications as well as managing and governing the underlying data leveraging standardized, automated and AI enabled Data Ops capabilities
  • Mature their AI and Analytics journey with fluid capacity and flexible capability of AI and Analytics experts complemented with experience hardened assets and curated data sets to experiment with AI and scale their AI and Analytics ambition.

Qualifications:

Required:

  • 1+ years of relevant analytics consulting or industry experience including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.) including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience in statistical analysis, machine learning, and data mining techniques including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support data science workflows including internships, co-ops, research roles, and other applicable academic or in-school experience
  • 1+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.) including internships, co-ops, research roles, and other applicable academic or in-school experience
  • Exposure to SOC threat hunting and/or incident response
  • Experience contributing to analytics or cyber transformation workstreams across strategy, design, or implementation
  • Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field; or 4 years equivalent professional experience
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available
Preferred:

  • Experience supporting the design, development, or deployment of enterprise data science or AI solutions
  • Knowledge of AI / ML / Advanced Data Engineering applications for cybersecurity use cases such as detection engineering and threat response acceleration
  • Experience parsing and normalizing cyber or IT telemetry datasets
  • Familiarity with Python machine learning and deep learning libraries such as PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, and SciPy
  • Familiarity with Apache open-source frameworks such as Kafka, Storm, and Spark
  • Ability to manage multiple task assignments while working in a team-oriented environment
  • Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint)
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
#CDRCyber26
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 $88,600 to $163,100.
Education:Bachelor's DegreeEmployment Type:

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