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Data Engineering Internship Jobs in Warrenville, IL

SynergisticIT

Data Scientist

Chicago, IL · On-site

$95K - $150K/yr

Internship or project experience in data science or data engineering Client Requirements Our U.S.-based clients typically require: * Real-world project experience : Hands-on exposure to enterprise ...

Samprasoft

Data Engineer 2

Chicago, IL · On-site

$118K - $141.80K/yr

Data Engineer The main function of a data engineer is to ensure that the data assets of an ... A combination of education and work experience (including internships) will be accepted so long as ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141.60K/yr

... the engineering community * Collaborate with digital product managers, and deliver robust cloud ... At least 4 years of experience in application development (Internship experience does not apply)

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Data Engineering Internship information

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How much do data engineering internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for data engineering internship in Warrenville, IL is $19.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $20.96 per hour, depending on experience, location, and employer.

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 a solid grasp of programming (especially Python or Java), databases (SQL/NoSQL), and data structures, often demonstrated by coursework or relevant projects. Familiarity with data processing tools like Apache Spark, ETL pipelines, and cloud platforms such as AWS or Google Cloud is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication help interns excel in collaborative and fast-paced environments. These skills are crucial for building reliable data pipelines and supporting data-driven decision-making within organizations.

What types of projects or tasks can I expect to work on during a Data Engineering Internship?

As a Data Engineering Intern, you can expect to work on a variety of tasks such as building data pipelines, cleaning and transforming raw data, and assisting in the integration of data from multiple sources. You may also support the team in optimizing database performance and ensuring data quality. Interns often collaborate with data scientists, analysts, and software engineers, gaining exposure to different tools and technologies like SQL, Python, and cloud platforms. These experiences provide a strong foundation for a future career in data engineering.

What is a Data Engineering Internship?

A Data Engineering Internship is a temporary position designed for students or recent graduates to gain practical experience in building, managing, and optimizing data pipelines and infrastructure. Interns typically work alongside professional data engineers to learn about data extraction, transformation, and loading (ETL) processes, database management, and data warehousing. This role provides hands-on exposure to tools like SQL, Python, and cloud platforms, helping interns develop essential technical skills for a career in data engineering. Interns may also assist in improving data quality and supporting analytics initiatives within a company.

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

AspectData Engineering InternshipData Analyst Internship
Required SkillsSQL, Python, ETL, cloud platformsExcel, SQL, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud infrastructureData reporting, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Data Engineering Internships focus on building and maintaining data pipelines and infrastructure, requiring technical skills like SQL and Python. Data Analyst Internships emphasize analyzing data to generate insights, often using Excel and visualization tools. Both roles are common in tech-driven industries but serve different functions within data teams.

What are popular job titles related to Data Engineering Internship jobs in Warrenville, IL? For Data Engineering Internship jobs in Warrenville, IL, the most frequently searched job titles are:
What job categories do people searching Data Engineering Internship jobs in Warrenville, IL look for? The top searched job categories for Data Engineering Internship jobs in Warrenville, IL are:
What cities near Warrenville, IL are hiring for Data Engineering Internship jobs? Cities near Warrenville, IL with the most Data Engineering Internship job openings:
Data Engineering Internship jobs near you
Infographic showing various Data Engineering Internship job openings in Warrenville, IL as of May 2026, with employment types broken down into 43% Internship, and 57% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,265 per year, or $19.4 per hour.
Junior Data Scientist with Data Engineering Skills

Junior Data Scientist with Data Engineering Skills

SynergisticIT

Chicago, IL • On-site

$95K - $150K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Junior Data Scientist With Data Engineering Skills

We are seeking a motivated Junior Data Scientist with Data Engineering skills to join our tech clients' analytics and engineering teams. This is an exciting opportunity for recent graduates or early-career professionals who are passionate about data, machine learning, and building scalable data pipelines. You will work on projects that combine data science, data engineering, and DevOps practices to deliver actionable insights and enterprise-grade solutions for U.S.-based clients.

Responsibilities
  • Collect, clean, and preprocess large datasets for analysis and modeling
  • Build and maintain ETL pipelines and scalable data workflows
  • Develop predictive models and machine learning algorithms
  • Collaborate with DevOps teams to deploy models into production environments
  • Work with cross-functional teams to translate business requirements into technical solutions
  • Optimize data storage and retrieval using SQL/NoSQL databases and cloud platforms
Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
  • Strong knowledge of Python, SQL, and data manipulation libraries (Pandas, NumPy, Scikit-learn)
  • Familiarity with data engineering tools such as Spark, Hadoop, or Kafka
  • Exposure to cloud platforms (AWS, Azure, or GCP)
  • Understanding of DevOps practices for model deployment
  • Excellent problem-solving and communication skills
Additional Skills
  • Experience with deep learning frameworks (TensorFlow, PyTorch)
  • Knowledge of data visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
  • Internship or project experience in data science or data engineering
Client Requirements

Our U.S.-based clients typically require:

  • Real-world project experience : Hands-on exposure to enterprise-level data science and engineering projects beyond academic coursework.
  • U.S. work experience : Familiarity with U.S. client expectations, delivery standards, and collaborative team environments.
Don't Have All the Skills Yet?

If you're passionate about becoming a Data Scientist but lack some of the required skills or U.S. project experience, you can explore SynergisticIT's Job Placement Program. This program provides:

  • Hands-on training in Data Science, Data Engineering, Cloud, and DevOps
  • Real-world project simulations to build client-ready experience
  • Interview preparation and career coaching

You can also explore additional resources:

  • SynergisticIT Blog – Career guides, BI best practices, and industry insights
  • SynergisticIT Interview Questions – Sample questions and preparation tips
Explore SynergisticIT's Industry Presence

SynergisticIT actively participates in global tech events, showcasing its strong industry connections:

  • SynergisticIT at Gartner Data and Analytics Summit – Highlights key trends in BI, governance, and analytics adoption.
  • SynergisticIT @ Oracle CloudWorld – Demonstrates SynergisticIT's role in shaping enterprise cloud analytics.
  • Oracle CloudWorld Event – Showcases innovation in BI and data engineering.
  • Oracle CloudWorld Event – Provides continuity of SynergisticIT's presence in global analytics events.
Featured in USA Today

SynergisticIT has been recognized in USA Today for transforming how tech companies source and train talent.

Competitive Edge with SynergisticIT
  • SynergisticIT has built relationships with thousands of tech clients across the U.S., giving candidates a competitive edge over other jobseekers by securing more interviews and better job offers.
  • Candidates completing the program typically receive job offers ranging from $95,000 to $150,000 annually, depending on skills, location, and client requirements.
About SynergisticIT

Since 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure. Some of the clients where SynergisticIT-trained developers and data scientists have been placed include: Google, Apple, Facebook (Meta), Amazon, Microsoft, IBM, Oracle, Cisco, Client, Wells Fargo, Client, PayPal, eBay, Walmart, Telecommunication, and bank. If you're ready to launch your career as a Junior Data Scientist with Data Engineering skills but feel you're missing some skills or experience, SynergisticIT can bridge that gap. With over a decade of proven success, strong client partnerships, and a focus on real-world readiness, SynergisticIT can help you land your first role in tech.

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