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Associate Data Engineering Jobs in Illinois (NOW HIRING)

Cohort AI Inc.

Associate Data Engineer

Naperville, IL · Remote

$114K - $137K/yr

About the Role We're looking for an Associate Data Engineer to join our team and help make data ... This is a great opportunity if you're early in your data engineering career and enjoy working hands ...

Cresset Capital

ASSOCIATE, DATA ENGINEER

Chicago, IL · On-site

$85K - $110K/yr

Bachelor's degree in computer science, engineering, or a similar field * 1+ years of experience in data engineering for cross-functional business processes involving multiple IT systems. * Experience ...

Cresset Capital

ASSOCIATE, DATA ENGINEER

Chicago, IL

$16.50 - $21.50/hr

Bachelor's degree in computer science, engineering, or a similar field * 1+ years of experience in data engineering for cross-functional business processes involving multiple IT systems. * Experience ...

OFI

Associate Data Science Analyst

Chicago, IL

$71K - $95K/yr

The Associate Data Science Analyst will collaborate with cross-functional teams across supply chain ... prompt engineering, Retrieval-Augmented Generation (RAG) pipelines, and AI-powered business ...

New

Vizient

Senior Associate, Data Operations

Chicago, IL

$77K - $135K/yr

Collaborate closely with project managers, engineers, and cross-functional partners to manage ... Mentor junior associates on procedural data concepts, validation approaches, and effective ...

Pwc

Data Engineer - Senior Associate

Rosemont, IL · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

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Associate Data Engineering information

What are some typical projects an Associate Data Engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

What does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and may assist in data quality and integration tasks under the supervision of senior engineers.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What is an Associate Data Engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, specialized knowledge, or working in high-demand industries such as finance or technology. Achieving this level typically requires a combination of technical proficiency, certifications, and strategic career development.

What is the difference between Associate Data Engineering vs Data Engineer?

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

Can I make 200K as a data engineer?

Senior data engineers with extensive experience, specialized skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas can earn salaries around or above $200,000 annually. Entry-level or mid-level data engineers typically earn less, with salaries increasing with expertise, certifications, and industry demand.

What engineers make 200,000 a year?

Senior data engineers and specialized software engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High salaries are common in competitive markets and large organizations that require complex data infrastructure and engineering expertise.
What are the most commonly searched types of Data Engineering jobs in Illinois? The most popular types of Data Engineering jobs in Illinois are:
Associate Data Engineering jobs near you
Infographic showing various Associate Data Engineering job openings in Illinois as of July 2026, with employment types broken down into 80% Full Time, 7% Temporary, and 13% Contract. Highlights an 100% In-person job distribution.

Associate Data Engineer

Cohort AI Inc.

Naperville, IL • Remote

$114K - $137K/yr

Full-time

Posted 27 days ago

Job description

About the Role

We’re looking for an Associate Data Engineer to join our team and help make data reliable, usable, and impactful.

In this role, you’ll work closely with different teams to bring in new datasets, clean and transform them, and make sure they’re ready for analysis. A big part of your work will involve building and maintaining data pipelines, mapping data into standard formats, and ensuring everything runs smoothly behind the scenes.

This is a great opportunity if you’re early in your data engineering career and enjoy working hands-on with data, solving real-world problems, and learning how large-scale data systems operate—especially in the healthcare space.

Responsibilities:

  • Build and maintain data pipelines to ingest, transform, and organize data from multiple sources

  • Work with clinical, claims, or similar structured datasets and map them into standardized data models

  • Run data quality checks to ensure accuracy and consistency

  • Use tools like Databricks, BigQuery, Redshift, dbt, and command-line utilities

  • Collaborate with cross-functional teams including data, product, and business stakeholders

  • Help maintain ongoing data refresh processes and troubleshoot pipeline issues when needed

Needed:

  • Bachelor’s degree in Computer Science or a related field (or equivalent hands-on experience)

  • Strong working knowledge of SQL

  • Familiarity with Python, PySpark, or SparkSQL

  • Experience with modern data platforms like Databricks, Snowflake, or BigQuery

  • Comfort working in a remote, collaborative environment

  • Based in the United States (preferred time zones: Central, Mountain, or Pacific)

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