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Data Engineering Intern Jobs in Mount Prospect, IL

Our data engineering internship is an intensive 10-week experience with our team who is responsible for developing and maintaining the infrastructure and pipelines to support data for firm wide use.

Our data engineering internship is an intensive 10-week experience with our team who is responsible for developing and maintaining the infrastructure and pipelines to support data for firm wide use.

Join OceanComm's engineering team and help build undersea drones, intelligent sensors, and other ... We brought to market wireless modems that transfer data 100 to 1,000 times faster. Legacy modems ...

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

  • PTO

Join OceanComm's engineering team and help build undersea drones, intelligent sensors, and other ... We brought to market wireless modems that transfer data 100 to 1,000 times faster. Legacy modems ...

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

  • PTO

Join OceanComm's engineering team and help build undersea drones, intelligent sensors, and other ... We brought to market wireless modems that transfer data 100 to 1,000 times faster. Legacy modems ...

Construction and Engineering Internship

Cary, IL · On-site

$17 - $22/hr

We are looking for a Construction and Engineering Intern to provide support for our operations and ... Field data collection and entering into excel spreadsheets * Quantity take-offs and preconstruction ...

Showing results 21-40

Data Engineering Intern information

See Mount Prospect, IL salary details

$10

$19

$29

How much do data engineering intern jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data engineering intern in Mount Prospect, IL is $19.19, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $20.77 per hour, depending on experience, location, and employer.

What types of projects and technologies can a data engineering intern expect to work with during their internship?

As a Data Engineering Intern, you’ll typically work on projects involving data pipeline development, data cleaning, and integration of data from various sources. You can expect to use technologies like SQL, Python, and tools such as Apache Spark, Hadoop, or cloud platforms like AWS or Google Cloud. Interns often collaborate closely with data engineers, analysts, and sometimes data scientists to ensure data is accessible, reliable, and well-organized for analysis. This hands-on experience helps you build foundational skills and understand real-world data workflows within a collaborative team environment.

What does a data engineering intern do?

A Data Engineering Intern assists in building and maintaining the systems and infrastructure that allow organizations to collect, store, and analyze large volumes of data. Their responsibilities often include cleaning and organizing raw data, developing data pipelines, and supporting the work of data engineers and data scientists. Interns may also work with tools like SQL, Python, and cloud platforms to automate data workflows. This role provides hands-on experience in managing data processes and understanding the fundamentals of data engineering in a real-world environment.

What is the difference between Data Engineering Intern vs Data Analyst Intern?

AspectData Engineering InternData Analyst Intern
Required SkillsBasic SQL, programming (Python, Java), understanding of data pipelinesData visualization, SQL, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness intelligence teams, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business sectors

While both roles involve working with data, a Data Engineering Intern focuses on building and maintaining data pipelines and infrastructure, whereas a Data Analyst Intern analyzes data to generate insights and reports. The roles share some technical skills like SQL but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a data engineering intern, and why are they important?

To thrive as a Data Engineering Intern, you need foundational knowledge in programming (especially Python or Java), databases, and data structures, often obtained through coursework in computer science or related fields. Familiarity with SQL, cloud platforms (like AWS or Azure), and data pipeline tools such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional interns apart. These skills and qualities are crucial for efficiently handling data workflows, collaborating with teams, and contributing to high-quality data solutions.

What cities near Mount Prospect, IL are hiring for Data Engineering Intern jobs?

Cities near Mount Prospect, IL with the most Data Engineering Intern job openings:

Infographic showing various Data Engineering Intern job openings in Mount Prospect, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,913 per year, or $19.2 per hour.

Software Engineer, Intern (Summer 2027)

Aquatic Capital Management

Chicago, IL

Temporary, Internship

Re-posted 13 days ago


Job description

As a Software Engineering Intern at Aquatic, you will join a fast-moving team building high-performance, distributed systems that power our research and trading infrastructure. You'll work closely with experienced engineers and quants to design tools, improve system reliability, and optimize our platform for low-latency, high-throughput data processing. This is a hands-on, impactful role-your work will directly influence live systems and research workflows.

Requirements:

  • Active student pursuing a BS, MS, or PhD in mathematics, statistics, machine learning, physics, computer science, or other scientific disciplines with an expected graduation date between Fall 2027 and Summer 2028.
  • Solid programming skills in Python and/or C++
  • Strong understanding of algorithms, systems, and computer architecture
  • Curiosity about how things work, and a desire to build systems that do things better
  • Ability to thrive in a collaborative, fast-paced environment
  • Learn software design and testing techniques, such as Refactoring and Test Driven Development

Candidate qualities: 

  • Strong bias for action
  • Driven by accountability and internal urgency
  • Desire to independently seek best solutions
  • Preference for working in a team that focuses on delivering results aligned with Research goals
  • Comfortable providing and receiving actionable feedback in a collaborative team setting
  • Motivated by an ambitious environment and driven colleaguesÂ