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Associate Data Engineer Jobs in Chicago, IL (NOW HIRING)

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 reliable, usable, and impactful. In this role, you'll work closely with different teams to bring in new ...

Associate Data Engineer II

Mettawa, IL

$131K - $157K/yr

The Associate Data Engineer II will build, maintain, and optimize data infrastructure - like databases and data pipelines - that address cross-functional critical business needs. This role is ...

Associate Data Engineer II

Mettawa, IL · On-site

$131K - $157K/yr

The Associate Data Engineer II will build, maintain, and optimize data infrastructure - like databases and data pipelines - that address cross-functional critical business needs. This role is ...

The Associate Data Engineer I will help build, maintain, and optimize data infrastructure - like databases and data pipelines - that address cross-functional critical business needs. This role is ...

The Associate Data Engineer I will help build, maintain, and optimize data infrastructure - like databases and data pipelines - that address cross-functional critical business needs. This role is ...

The Associate Data Engineer I will help build, maintain, and optimize data infrastructure - like databases and data pipelines - that address cross-functional critical business needs. This role is ...

Associate Data Scientist

Northbrook, IL · Hybrid

$59K - $60K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in ... Collaborate with operations, principal engineering, and technology partners to identify AI ...

Associate Data Scientist

Northbrook, IL · Hybrid

$59K - $60K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in ... Perform basic data engineering tasks including data extraction, transformation, and pipeline ...

Associate Data Scientist

Northbrook, IL · Hybrid

$59K - $60K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in ... Collaborate with operations, principal engineering, and technology partners to identify AI ...

Associate Data Scientist

Northbrook, IL · Hybrid

$60K - $60K/yr

The Associate Data Scientist supports the Operations Data Science & AI team at UL Solutions in ... Collaborate with operations, principal engineering, and technology partners to identify AI ...

ML Data Engineer

Chicago, IL · On-site

$74K - $111K/yr

What you need : • Databricks Certified Associate Data and ML Engineer (preferred) • Python 3+ years, Databricks 1+ years (PySpark, Delta Lake, Unity Catalog) • Snowflake 3+ years (SQL expert ...

New

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

AWS Developer Associate, Certified Big Data Specialty, Tableau Desktop Certified Associate, Certified Associate in Python programing (PCAP), Apache Spark certification will be given preference. * 1-2 ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Data Engineer

Downers Grove, IL

$114K - $137K/yr

Data Analyst Associate, Power BI Data Analyst, or Azure Data Engineer. * Experience with Python or other scripting for data manipulation is a bonus. What We Offer * Competitive salary and benefits ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

Data Analyst Associate, Power BI Data Analyst, or Azure Data Engineer. * Experience with Python or other scripting for data manipulation is a bonus. What We Offer * Competitive salary and benefits ...

Data Engineer

Downers Grove, IL

$114K - $137K/yr

Data Analyst Associate, Power BI Data Analyst, or Azure Data Engineer. * Experience with Python or other scripting for data manipulation is a bonus. What We Offer * Competitive salary and benefits ...

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Associate Data Engineer information

See Chicago, IL salary details

$10

$19

$31

How much do associate data engineer jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for associate data engineer in Chicago, IL is $19.30, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $20.58 per hour, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can reach or exceed $500,000 in total compensation. Such roles often require leadership responsibilities, specialized certifications, and work in high-demand industries or companies with competitive pay structures.

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, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the salary of a 2.5 year data engineer?

A data engineer with approximately 2.5 years of experience can expect a salary range typically between $80,000 and $120,000 annually, depending on location, industry, and skill set. Proficiency in tools like SQL, Python, and cloud platforms can influence compensation levels.

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

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

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 typically collaborate with data scientists and engineers to ensure data quality and accessibility.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
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Associate Data Engineer

Cohort AI Inc.

Naperville, IL • Remote

$114K - $137K/yr

Full-time

Posted 23 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)