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Entry Level Aws Data Engineer Jobs in Chicago, IL

Prophecy Technologies

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL (3 days office) Employment: Contract Data Engineer with ... Utilize AWS services like S3, CloudWatch, IAM, SNS, and Lambda. * Familiarity with Terraform for ...

IBM

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Basic understanding of Cloud (AWS, Azure, etc). * Ability to use programming languages like Java ...

Bcbsa

Data Engineer (AI/ML)

Chicago, IL · On-site

$118K - $141K/yr

Summary The Data Engineer will design, build, and optimize scalable, secure data pipelines that ... UsePySparkand modern cloud-based tools (Databricks, AWS Glue, EMR, Snowflake) to transform and ...

Excel Sports Management

Data Engineer

Chicago, IL · On-site

$100K - $115K/yr

Working knowledge of cloud environments (AWS preferred; GCP/Azure acceptable). * Familiarity with Git and CI/CD pipelines, and an understanding of data and software engineering best practices.

IBM

Data Engineer Intern 2027

Chicago, IL · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... AWS). Experience with NLP/LLM/GenAI is a plus. * Exposure to programming languages (e.g ...

IBM

Data Engineer Intern 2027

Chicago, IL

... entry-level positions. You'll receive a status update email for each application, so be sure to ... AWS). Experience with NLP/LLM/GenAI is a plus. * Exposure to programming languages (e.g ...

IBM

Data Engineer Intern 2027

Chicago, IL

... entry-level positions. You'll receive a status update email for each application, so be sure to ... AWS). Experience with NLP/LLM/GenAI is a plus. * Exposure to programming languages (e.g ...

IBM

Data Engineer Intern 2027

Chicago, IL · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... AWS). Experience with NLP/LLM/GenAI is a plus. * Exposure to programming languages (e.g ...

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Experience designing and building scalable and robust data pipelines to enable data-driven ... Hands-on experience in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake ...

Cresset Capital

ASSOCIATE, DATA ENGINEER

Chicago, IL · On-site

$85K - $110K/yr

... data engineering for cross-functional business processes involving multiple IT systems. * ... Experience with Matillion, DBT, Databricks, and AWS * Ability to code in Python or another ...

Cresset Capital

ASSOCIATE, DATA ENGINEER

Chicago, IL

$16.50 - $21.50/hr

... data engineering for cross-functional business processes involving multiple IT systems. * ... Experience with Matillion, DBT, Databricks, and AWS * Ability to code in Python or another ...

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All JobsAws Data Engineer JobsEntry Level Aws Data Engineer JobsEntry Level Aws Data Engineer Jobs in Chicago, IL

Entry Level Aws Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do entry level aws data engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for entry level aws data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What does an entry level AWS data engineer do?

An Entry Level AWS Data Engineer is responsible for helping to design, build, and maintain data pipelines and infrastructure in Amazon Web Services (AWS) environments. They work with data storage tools like Amazon S3, databases such as Amazon RDS or Redshift, and data processing services like AWS Glue or EMR. Their role often involves data extraction, transformation, and loading (ETL), ensuring data is accessible and usable for analytics and business needs. They typically collaborate with data scientists, analysts, and senior engineers while following best practices for cloud security and scalability.

What are the key skills and qualifications needed to thrive as an entry level AWS data engineer?

To thrive as an Entry Level AWS Data Engineer, you need a solid understanding of data structures, SQL, Python or similar programming languages, and a basic grasp of cloud computing concepts, ideally supported by a relevant degree or coursework. Familiarity with AWS services such as S3, Redshift, Glue, and data visualization or ETL tools, along with certifications like AWS Certified Data Analytics – Specialty, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in collaborative, fast-paced environments. These skills and qualifications are crucial for building scalable data solutions, ensuring data quality, and enabling data-driven decision-making for organizations using AWS.

What are some typical projects an entry level AWS data engineer might work on?

As an Entry Level AWS Data Engineer, you may be involved in projects such as building data pipelines, automating data ingestion, or assisting in the migration of on-premises data to AWS cloud services. These projects typically require collaboration with data analysts, senior engineers, and sometimes business stakeholders to ensure that clean, well-structured data is available for reporting and analytics. Your contributions help streamline data flows, improve data quality, and support the team’s ability to make data-driven decisions, providing a strong foundation for future growth and responsibilities.

What is the difference between Entry Level Aws Data Engineer vs Data Analyst?

AspectEntry Level Aws Data EngineerData Analyst
Required CredentialsBasic AWS certifications, SQL, PythonExcel, SQL, basic data visualization tools
Work EnvironmentCloud platforms, data pipelines, ETL processesData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with cloud infrastructureBusiness, marketing, finance sectors

While both roles involve working with data, Entry Level Aws Data Engineers focus on building and maintaining cloud-based data pipelines using AWS tools, whereas Data Analysts interpret data and create reports to support business decisions. The roles often overlap in skills like SQL and basic scripting, but differ in their core responsibilities and work environments.

What are popular job titles related to Entry Level Aws Data Engineer jobs in Chicago, IL?

For Entry Level Aws Data Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Entry Level Aws Data Engineer jobs in Chicago, IL look for?

The top searched job categories for Entry Level Aws Data Engineer jobs in Chicago, IL are:

Entry Level Aws Data Engineer jobs near you
Infographic showing various Entry Level Aws Data Engineer job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Data Engineer

Prophecy Technologies

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Re-posted 12 days ago

Job description

Position: Data Engineer
Location: Chicago, IL (3 days office)
Employment: Contract
Job Description:
Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and managing scalable data pipelines using Databricks, AWS, and modern DevOps practices.
Responsibilities: -
  • Perform Develop and manage ETL processes using Python, PySpark, and SQL.
  • Work with Databricks for data processing.
  • Utilize AWS services like S3, CloudWatch, IAM, SNS, and Lambda.
  • Familiarity with Terraform for infrastructure management.
  • Work with Angular for front-end integration.
  • Collaborate on version control using Git and deployment using Octopus and Azure DevOps.
  • Support CI/CD processes using Git, Octopus, and Azure DevOps.
  • Work within cloud-based data engineering environments and data processing frameworks.

Mandatory skills
  • Strong ETL
  • Python
  • SQL
  • PySpark
  • Angular for front-end development
  • Experience with AWS services (S3, CloudWatch, IAM, SNS, Lambda)
  • Terraform knowledge
  • Experience with Git, Octopus, and Azure DevOps for CI/CD

Apply