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Amazon Data Engineer Jobs in Illinois (NOW HIRING)

Delviom LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Development, Cloud Engineering & DevOps Cloud Platform: AWS (Compute, Storage ... CI/CD (AWS CodePipeline/CodeBuild/CodeDeploy), Terraform (IaC), Docker, Amazon CloudWatch, Secrets ...

PROLIM Global Corporation

Data Engineer

Peoria, IL · On-site

$112K - $135K/yr

We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines ... Amazon Web Services (AWS) * Google Cloud Platform (GCP) Preferred Skills * Snowflake * Delta Lake

IGT

Data Engineer II

Chicago, IL

$117K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Experience with AWS data services such as Amazon S3, Lambda, or related technologies. * Experience ...

Progressive Gaming

Data Engineer II

Chicago, IL

$117K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Experience with AWS data services such as Amazon S3, Lambda, or related technologies. * Experience ...

Sonoma Consulting Inc.

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Expertise in leading cloud technologies like Amazon Web Services * Ability to communicate technical ... Data Engineer, Senior Data Engineer, Database Engineer, Data Architect, Senior Data Architect

Epsilon

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Work with Modern Data Tech: Get hands-on with an innovative big data stack using Spark, Scala ... You will leverage tools like Cursor and Amazon Q Developer to accelerate coding, debugging, and ...

Publicis Groupe Holdings B.V

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Work with Modern Data Tech: Get hands-on with an innovative big data stack using Spark, Scala ... You will leverage tools like Cursor and Amazon Q Developer to accelerate coding, debugging, and ...

Starcom Mediavest Group Germany Gmbh

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Work with Modern Data Tech: Get hands-on with an innovative big data stack using Spark, Scala ... You will leverage tools like Cursor and Amazon Q Developer to accelerate coding, debugging, and ...

Starcom Mediavest Group Germany Gmbh

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Work with Modern Data Tech: Get hands-on with an innovative big data stack using Spark, Scala ... You will leverage tools like Cursor and Amazon Q Developer to accelerate coding, debugging, and ...

Amazon

Tech Ops Engineer II - AMZ26688.4

Chicago, IL · On-site

$124K - $183K/yr

Amazon Data Services, Inc. Position: Tech Ops Engineer II - AMZ26688.4 Location: Chicago, IL Multiple Positions Available: 1. Utilize tools and templates for bid analysis and cost management. 2. ...

Pwc

Data Engineer - Manager

Rosemont, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Pwc

Data Engineer - Manager

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Bcbsa

Data Engineer (AI/ML)

Chicago, IL

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Summary The Data Engineer will design, build, and optimize scalable, secure data pipelines that ... Hands-on experience with AWS AI/ML and data services, including Amazon Bedrock, Bedrock Agent Core ...

CapTech Consulting

Data Engineer (AWS, Azure, GCP)

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Retirement

  • PTO

Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure ... Utilizing your skills in engineering best practices to solve complex data problems * Collaborating ...

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All JobsAmazon Data Engineer JobsAmazon Data Engineer Jobs in Illinois

Amazon Data Engineer information

See Illinois salary details

$43.1K

$125.7K

$172K

How much do amazon data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for amazon data engineer in Illinois is $125,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,200.00 per year, depending on experience, location, and employer.

What is an Amazon data engineer?

An Amazon Data Engineer is responsible for designing, building, and maintaining data infrastructure to support business intelligence and analytics. They work with large-scale datasets, optimize data pipelines, and ensure efficient data processing. Engineers collaborate with data scientists, analysts, and software teams to enable data-driven decision-making. Key skills include SQL, Python, ETL development, and experience with AWS services like Redshift, S3, and Glue.

What do Amazon data engineers do?

As an Amazon Data Engineer, you can expect to work on projects involving the design, development, and maintenance of large-scale data pipelines and data warehouses. Common challenges include optimizing data flows for efficiency, handling massive and complex datasets, and ensuring data quality and integrity across various sources. You'll frequently collaborate with data scientists, analysts, and other engineering teams to create scalable solutions that support business intelligence and machine learning initiatives. The fast-paced environment provides opportunities to solve unique technical problems and drive data-driven decision-making across Amazon’s diverse businesses.

What are the key skills and qualifications needed to thrive as an Amazon data engineer?

To thrive as an Amazon Data Engineer, you need strong proficiency in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically accompanied by a degree in computer science or a related field. Familiarity with AWS cloud services (like Redshift, S3, and Glue), big data tools, and relevant certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-functional teams set standout candidates apart. These skills and qualities ensure data is accurately managed, integrated, and made accessible for analytics and business decisions in Amazon's complex environment.

Is an Amazon Data Engineer in demand?

Amazon Data Engineers are in high demand due to the company's extensive data infrastructure needs, with skills in cloud platforms like AWS, data pipelines, and SQL being highly sought after. The role offers strong job growth prospects as organizations increasingly rely on data-driven decision making.

What are the most commonly searched types of Amazon Data Engineer jobs in Illinois?

The most popular types of Amazon Data Engineer jobs in Illinois are:

What are popular job titles related to Amazon Data Engineer jobs in Illinois?

For Amazon Data Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Amazon Data Engineer jobs in Illinois look for?

The top searched job categories for Amazon Data Engineer jobs in Illinois are:

Amazon Data Engineer jobs near you
Infographic showing various Amazon Data Engineer job openings in Illinois as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $125,698 per year, or $60.4 per hour.

Data Engineer

Delviom LLC

Chicago, IL • On-site

$118K - $141K/yr

Other

Posted 5 days ago

Job description

Data Engineer

Development, Cloud Engineering & DevOps

Cloud Platform: AWS (Compute, Storage, Networking, IAM and related cloud resources)

Data Engineering Skills: Python, PySpark, SQL, Prefect, Snowflake, Snowpark, dbt, airbyte, Databricks on AWS

DevOps Skills: CI/CD (AWS CodePipeline/CodeBuild/CodeDeploy), Terraform (IaC), Docker, Amazon CloudWatch, Secrets Management, Release & Environment Management

Must-Have Skills

  • B.E./B.Tech degree in Computer Science, Engineering, or a related field, with 8-10 years of overall work experience.
  • 5+ years of hands-on development experience building Cloud Data Platform Data Engineering solutions covering Data Ingestion, Data Quality Validations, Data Processing and Data Integration.
  • Strong hands-on coding experience in Python, PySpark, and SparkSQL, with solid software engineering practices including testing, version control and code reviews.
  • Hands-on experience in Airbyte, Snowflake and dbt.
  • Hands-on experience with Prefect for workflow orchestration, including designing flows and tasks, scheduling, deployments, and parameterized runs.
  • Ability to build reliable, observable Prefect workflows with retry logic, failure handling, and rerun/recovery support for production pipelines.
  • Hands-on experience with Amazon S3-based data lakes, Databricks on AWS and other AWS-based data ecosystem services.
  • Experience monitoring and troubleshooting orchestrated workflows via the Prefect UI/Cloud, including work pools, deployments and run history.
  • Demonstrated willingness and ability to set up and own DevOps practices for the platforms you build (see DevOps Skills below).
  • Proficiency in analytics use-case analysis, source system analysis, and data quality assessment.
  • Experience coordinating/collaborating with on-shore and off-shore teams for solution delivery.
  • Excellent communication and presentation skills.

DevOps Skills

  • Design and build CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy (or equivalent tools such as GitHub Actions/Jenkins) to automate build, test, and release cycles.
  • Provision and manage AWS cloud resources using Infrastructure as Code (Terraform), including version-controlled, reusable modules.
  • Containerize applications and workflows with Docker; deploy and manage containers using Amazon ECS/EKS.
  • Manage promotion of code and configuration across Development, Test, and Production environments with clear release and rollback strategies (blue-green/canary deployments).
  • Implement secure secrets and configuration management using AWS Secrets Manager or Parameter Store, with least-privilege IAM policies.
  • Set up monitoring, logging, and alerting using Amazon CloudWatch (metrics, dashboards, alarms) to maintain operational visibility into pipelines and workflows.
  • Define and implement retry, recovery, and rerun strategies for failed jobs/workflows to ensure production reliability.
  • Write automation scripts (Python/Bash) for deployment, operational tasks, and routine platform maintenance.
  • Collaborate with data engineers, application developers, and cloud engineers to support end-to-end delivery, and troubleshoot production issues when required.

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