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Amazon Data Engineer Jobs in Illinois (NOW HIRING)

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

Data Engineer II

Chicago, IL

$117K - $141K/yr

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 ...

Data Engineer II

Chicago, IL

$117K - $141K/yr

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 ...

Senior Data Engineer

Chicago, IL · On-site

$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

Data Engineer III

Chicago, IL · On-site

$117K - $141K/yr

McDonald's is hiring a Data Engineer III focused on Data CleanRoomdata ingestion, curation, and ... LiveRamp, Habu, Snowflake Clean Rooms, AWS Clean Rooms, Google Ads Data Hub, or Amazon Marketing ...

Data Engineer III

Chicago, IL · On-site

$117K - $141K/yr

McDonald's is hiring a Data Engineer III focused on Data CleanRoomdata ingestion, curation, and ... LiveRamp, Habu, Snowflake Clean Rooms, AWS Clean Rooms, Google Ads Data Hub, or Amazon Marketing ...

Data Engineer III

Chicago, IL · On-site

$117K - $141K/yr

McDonald's is hiring a Data Engineer III focused on Data CleanRoomdata ingestion, curation, and ... LiveRamp, Habu, Snowflake Clean Rooms, AWS Clean Rooms, Google Ads Data Hub, or Amazon Marketing ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

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 ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

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 ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

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 ...

... 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 ...

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. ...

... 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 ...

Databricks Data Engineer II

Chicago, IL · On-site

$118K - $141K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Sr Databricks Data Engineer

Chicago, IL

$118K - $141K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

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 ... Hands-on experience with AWS AI/ML and data services, including Amazon Bedrock, Bedrock Agent Core ...

Lead Data Engineer

Bloomington, IL · On-site +1

$152K/yr

Responsibilities State Farm (Bloomington, IL) seeks a Data Engineer to design and implement complex ... Amazon Neptune) and knowledge of Cypher Query Language; working with distributed computing ...

Data Engineer (AWS, Azure, GCP)

Chicago, IL · On-site

$118K - $141K/yr

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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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 Jul 28, 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 are the key skills and qualifications needed to thrive in the Amazon Data Engineer position, and why are they important?

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.

What types of projects and data challenges do Amazon Data Engineers typically work on in their day-to-day roles?

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 is an Amazon Data Engineer job?

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 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 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:
Infographic showing various Amazon Data Engineer job openings in Illinois as of July 2026, with employment types broken down into 1% Locum Tenens, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $125,698 per year, or $60.4 per hour.
Data Engineer

$112K - $135K/yr

Full-time

Posted 16 days ago


Job description

We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong expertise in Python, SQL, Spark, ETL processes, and cloud technologies to support data-driven decision-making and advanced analytics.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
  • Build and optimize data processing solutions using Python, SQL, and Apache Spark (PySpark).
  • Develop batch and real-time data ingestion pipelines.
  • Work with structured and unstructured datasets from multiple data sources.
  • Design and implement cloud-based data solutions using Azure, AWS, or GCP.
  • Develop and maintain data models, data lakes, and enterprise data warehouses.
  • Integrate data from APIs, databases, and streaming platforms.
  • Optimize data pipeline performance and ensure data quality.
  • Collaborate with Data Scientists, Business Analysts, and Software Engineers.
  • Implement CI/CD pipelines and DevOps best practices for data engineering.
  • Troubleshoot production issues and provide ongoing support.
  • Ensure compliance with data governance, security, and privacy standards.
Required Skills
  • 5+ years of experience as a Data Engineer.
  • Strong programming skills in Python.
  • Excellent SQL skills.
  • Hands-on experience with Apache Spark / PySpark.
  • Experience with ETL/ELT development.
  • Strong knowledge of Data Warehousing concepts.
  • Experience with Hadoop ecosystem (Hive, HDFS).
  • Experience with Databricks.
  • Experience with Apache Kafka.
  • Hands-on experience with Apache Airflow or similar workflow orchestration tools.
  • Experience working on Linux/Unix environments.
  • Knowledge of Git and CI/CD pipelines.
Cloud Skills
Experience with one or more of the following:
  • Microsoft Azure (ADF, ADLS, Synapse)
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)
Preferred Skills
  • Snowflake
  • Delta Lake
  • Docker
  • Kubernetes
  • Terraform
  • Scala or Java
  • Power BI or Tableau
  • REST APIs
  • Agile/Scrum methodology
  • Experience working with large-scale enterprise data platforms