ZipRecruiter

Log In

1

Internship Data Aggregation Jobs in Chicago, IL (NOW HIRING)

Magid Glove & Safety

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

Strong SQL fundamentals (joins, aggregation, window functions, performance basics) * Data modeling ... internships or equivalent projects) * Ability to write production-quality SQL and create reliable ...

Asuep

Fall intern, NEWSWELL Chicago

Oak Park, IL

$20/hr

This paid internship puts you right in the middle of real, communitydriven reporting. You'll get ... Aggregate breaking news from multiple sources and verify accuracy * Edit, crop and size photos for ...

NEWSWELL

Fall intern, NEWSWELL Chicago

Oak Park, IL · On-site

$20/hr

This paid internship puts you right in the middle of real, community‑driven reporting. You'll get ... Aggregate breaking news from multiple sources and verify accuracy * Edit, crop and size photos for ...

New

Newswell

Fall intern, NEWSWELL Chicago

Oak Park, IL · On-site

$20/hr

This paid internship puts you right in the middle of real, community‑driven reporting. You'll get ... Aggregate breaking news from multiple sources and verify accuracy * Edit, crop and size photos for ...

New

The University of Chicago

Senior Platform Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

We envision a world in which researchers have ready access to the data needed and the tools ... Provide technical mentorship to interns and onboarding staff and technical leadership in technical ...

Harper College

Coordinator - Wellness Program

Palatine, IL · On-site

$35.75 - $44.68/hr

Collects and organizes wellness-related data, materials, and documentation to support program ... Reviews assessment results, aggregate health screening report, and produce recommendations for ...

next page

Showing results 1-20

All JobsData Aggregation JobsInternship Data Aggregation JobsInternship Data Aggregation Jobs in Chicago, IL

Internship Data Aggregation information

See Chicago, IL salary details

$12

$23

$43

How much do internship data aggregation jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for internship data aggregation in Chicago, IL is $23.18, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.24 per hour, depending on experience, location, and employer.

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

AspectInternship Data AggregationData Analyst
Required CredentialsTypically pursuing or recent graduate, some technical skillsBachelor's or higher in related field, technical proficiency
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time, professional environment, independent analysis
Employer & Industry UsageCompanies, startups, research projects, entry-level rolesBusinesses, consulting firms, industries requiring data insights
Search & Comparison IntentUnderstanding entry-level data roles, internshipsCareer advancement, professional data analysis roles

Internship Data Aggregation focuses on entry-level, supervised tasks often performed by students or recent graduates, while Data Analysts are experienced professionals conducting independent data analysis to inform business decisions. The roles differ mainly in experience level, scope, and responsibilities, though both involve working with data and require some technical skills.

What are the most commonly searched types of Data Aggregation jobs in Chicago, IL?

The most popular types of Data Aggregation jobs in Chicago, IL are:

What are popular job titles related to Internship Data Aggregation jobs in Chicago, IL?

For Internship Data Aggregation jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Internship Data Aggregation jobs in Chicago, IL look for?

The top searched job categories for Internship Data Aggregation jobs in Chicago, IL are:

Internship Data Aggregation jobs near you
Infographic showing various Internship Data Aggregation job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $48,220 per year, or $23.2 per hour.

Data Engineer

Magid Glove & Safety

Romeoville, IL • On-site

$116K - $140K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Description
What Matters at Magid? YOU do!
"The number one key to growth is having good people and that's what has driven us at every stage of the game." - Greg Cohen, CEO
At Magid, we're not just passionate about safety-we're passionate about people. As an industry leader, we've built an innovative and collaborative environment where diversity is celebrated, ideas are valued, and personal and professional growth never stops.
Job Summary
The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high-visibility role where your efforts will have impact on all levels of the organization. Our work spans product sourcing, customer journeys, service delivery, sales workflows, and the platforms and SME's that support them. We have seen a drastic increase in adoption of the Data Engineer's services. We are embedding data culture into our DNA and are excited to add a new face to that mission.
Essential Responsibilities
  • Data pipelines and transformations (ingest, clean, vet, test, transform, publish)
  • Well-documented datasets and advanced semantic models that enable reporting and analysis
  • Data quality checks (freshness, completeness, validity) and participation in monitoring/alerting
  • Datasets that support machine learning use cases with clear definitions
  • Incremental improvements to pipeline performance, cost, and reliability with guidance
  • Collaboration with partners to clarify requirements and iterate on data products
  • Partner in Data Discovery & Solution Shaping
  • Develop Power BI Solutions that are iterative while supporting our current ecosystem of analytics driven reporting
  • Learn source systems and data flows; help map entities, identifiers, and key business rules
  • Contribute to data modeling and design decisions with guidance (schemas, grain, slowly changing dimensions, etc.)
  • Propose simpler, more reliable approaches (e.g., reuse shared datasets, standardize definitions) to improve trust and increase adoption

Build & Maintain Data Pipelines
  • Build and maintain batch and/or streaming pipelines to ingest data from source systems into our analytical platform
  • Develop transformations to clean, standardize, and enrich data using agreed-upon patterns and tools (e.g., SQL, Python, Fabric Data Lake, KQL)
  • Support ML workflows by helping produce curated training datasets and feature-ready tables, following established patterns
  • Help monitor pipeline health and data quality; investigate variances and propose code enhancements to key datasets.

Contribute to a Strong Data Culture
  • Help evolve data standards (naming conventions, modeling patterns, documentation) to improve consistency and reuse
  • Promote a culture of data trust through quality checks, clear definitions, and thoughtful change management
  • Willingness to tackle obscure requests and find ways to solve cumbersome outdated workflows

How We Work
  • Empowered to solve problems, not just build features
  • Accountable for outcomes, not output
  • Collaborative by default, from discovery through delivery
  • Continuously learning, using data, AI/ML and customer insight to improve

Magid offers a variety of benefits to our team members including:
  • Health, dental, vision, life and disability insurance
  • Bonus plan
  • 401k retirement plan with company match
  • Company provided Profit Sharing
  • Participation in Magid Paid Time Off (PTO) Policy
  • 9 Paid Holidays

Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Equivalent practical experience is equally valued
  • Strong SQL fundamentals (joins, aggregation, window functions, performance basics)
  • Data modeling mindset: Cares about clear definitions, grain, and making data usable
  • Pragmatic problem solving: Debugs issues, makes sensible tradeoffs, and knows when to ask for help
  • Ownership: Takes responsibility for assigned datasets/pipelines and follows through to production
  • Collaboration: Works effectively with product managers to deliver trusted data

Key Qualifications
  • Minimum of 5+ years of experience in data engineering, analytics engineering, or software engineering (including internships or equivalent projects)
  • Ability to write production-quality SQL and create reliable transformations with attention to correctness
  • Understanding of dimensional modeling and/or event modeling concepts (fact/dimension tables, star schemas)
  • Proficiency in Python (or similar) and comfort using Git and code reviews to collaborate
  • Familiarity with data platforms (data warehouse/lakehouse concepts), and exposure to orchestration/ETL tools (e.g., Airflow, dbt, Spark) is a plus

Preferred Qualifications
  • Experience working with a modern data warehouse/lakehouse (e.g., Microsoft Fabric One Lake, Snowflake, BigQuery, Databricks)
  • Exposure to data quality testing, monitoring, or observability concepts
  • Familiarity with data governance concepts (Row-Level-Security, Workspace Roles, etc)
  • Exposure to machine learning workflows (training data preparation, feature tables, model experimentation support)
  • Familiarity with modern engineering practices (CI/CD, testing, observability)

Apply