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Remote Internship Data Engineering Jobs in Chicago, IL

Collectiv

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

Ensure data quality, reliability, and usability across the analytics platform Engineering Best ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Bright Vision Technologies

AI Data Engineer

Bartlett, IL · Remote

$113K - $136K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 6+ years Salary ...

Bright Vision Technologies

AI Data Engineer

Bartlett, IL · Remote

$113K - $136K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 6+ years Salary ...

Cohort AI Inc.

Associate Data Engineer

Naperville, IL · Remote

$114K - $137K/yr

This is a great opportunity if you're early in your data engineering career and enjoy working hands ... Comfort working in a remote, collaborative environment * Based in the United States (preferred time ...

TEKsystems

Data Engineer

Deerfield, IL · Remote

$70 - $85/hr

Engineering Teams * Responsible for shaping how data is structured, stored, and consumed * Expected ... remote position. Application Deadline This position is anticipated to close on Jun 30, 2026. About ...

New

GATX

Lead Data Engineer

Chicago, IL · On-site +1

$111K - $160K/yr

Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred) Founded in 1898 and headquartered in Chicago, IL, GATX Corporation (NYSE: GATX) is an industry leader with 125 ...

New

GATX

Lead Data Engineer

Chicago, IL · On-site +1

$111K - $160K/yr

Overview Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred) Founded in 1898 and headquartered in Chicago, IL, GATX Corporation (NYSE: GATX) is an industry leader ...

GATX

Lead Data Engineer

Chicago, IL · On-site +1

$111K - $160K/yr

Overview Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred) Founded in 1898 and headquartered in Chicago, IL, GATX Corporation (NYSE: GATX) is an industry leader ...

New

RxSaveCard Inc

Data Engineer (Remote)

Chicago, IL · Remote

$117K - $140K/yr

Key Responsibilities Data Engineering * Design, build, and maintain scalable data pipelines for ... Remote or hybrid Chicago work flexibility * Collaborative and dynamic team environment * The chance ...

CVS Health

Data Engineer

Downers Grove, IL · On-site +1

$113K - $158K/yr

... Engineering, or a related field and completion of a university-level course, research project, internship, or thesis in each of the following:Java, Python, or Node.js;Programming in R;Data ...

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All JobsRemote Internship Data Engineering JobsRemote Internship Data Engineering Jobs in Chicago, IL

Remote Internship Data Engineering information

See Chicago, IL salary details

$12

$23

$43

How much do remote internship data engineering jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for remote internship data engineering 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 Remote Internship Data Engineering vs Remote Internship Data Analyst?

AspectRemote Internship Data EngineeringRemote Internship Data Analyst
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentCollaborative teams, cloud platforms, coding tasksData reporting, analysis, visualization
Industry UsageTech, finance, healthcareMarketing, retail, finance

Remote Internship Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring coding and technical skills. In contrast, Remote Internship Data Analyst emphasizes analyzing data, creating reports, and visualizations. Both roles often share similar credentials but differ in daily tasks and technical depth, making them distinct yet related internship opportunities in data careers.

What are the most commonly searched types of Remote Data Engineering jobs in Chicago, IL? The most popular types of Remote Data Engineering jobs in Chicago, IL are:
What are popular job titles related to Remote Internship Data Engineering jobs in Chicago, IL? For Remote Internship Data Engineering jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Internship Data Engineering jobs in Chicago, IL look for? The top searched job categories for Remote Internship Data Engineering jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Internship Data Engineering jobs? Cities near Chicago, IL with the most Remote Internship Data Engineering job openings:
Remote Internship Data Engineering jobs near you

Data Engineering Manager (remote)

Claritev

Naperville, IL • On-site, Remote

Full-time

Posted 8 days ago

Key responsibilities

  • Design and implement data structures, workflows, and integrations between enterprise platforms to ensure accurate and timely execution of business processes.

  • Maintain scalable data pipelines, data warehouses, data lakes, databases, tables, SQL queries, and ingestion pipelines to support increasing data volume and complexity.

  • Collaborate with business users, technology teams, and executives to understand data needs and create innovative data solutions.

Job description

At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we striveto bend the cost curve in healthcare for all. Our dedication to service excellence extends to all our stakeholders - internal and external - driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential.

Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!!!

JOB SUMMARY:

This role will be part of the team responsible for developing and deploying Data Engineering Platform and Integration Solutions. Primary responsibility will be to work closely with the Data Engineering team, Data Architects and AI Team to implement data solutions for the organization using Python, PySpark and other big data solutions, creating technical specification documents and test plans. Also provide support for the data solutions across the enterprise.

JOB ROLES AND RESPONSIBILITIES:

  • Understand business processes and how they are modeled in various systems
  • Work with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfil them
  • Design and Implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes.
  • Maintain scalable data pipelines to support continuing increases in data volume and complexity.
  • Adhere to established best practices on data integration/engineering, as well as the future of our data infrastructure
  • Managing and improving the performance of our database, queries, tools, and solutions
  • Creating and maintaining data warehouse, data lakes, databases, tables, SQL queries, and ingestion pipelines, predictive models, and downstream analysis
  • Writing complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms
  • Prepare data for predictive and prescriptive modeling
  • Identify and analyze data patterns
  • Identify ways to improve data reliability, efficiency and quality
  • Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure
  • Collaborate, coordinate, and communicate across disciplines and departments.
  • Ensure compliance with HIPAA regulations and requirements.
  • Demonstrate Company's Core Competencies and values held within.
  • Please note due to the exposure of PHI sensitive data - this role is considered to be a High Risk and privileged role.
  • The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

JOB SCOPE:

The incumbent works independently and relies on judgment and experience to complete job responsibilities. The incumbent possesses an extensive range of knowledge of practices and procedures within the field and acts a resource for less experienced team members. Work is varied and complex.

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