1

Amazon Data Engineer Jobs in Illinois (NOW HIRING)

Visa Independent Only Must Have Skills Amazon Neptune Graph Database, SPARQL Data Engineering / ETL Pipelines GraphRAG Nice to have skills Gen AI integration, Python Backend API Development Detailed ...

New

Showing results 41-60

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 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 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.

Senior Graph Database Developer

Long Finch Technologies

Villa Park, IL • Hybrid

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Job title: Senior Graph Database Developer

Work Location: Chicago, IL, 60606(Hybrid )

Duration: 6+ Months Contract
Experience Level: 10+ Years

Visa: Visa Independent Only

Job Description:
Must Have Skills
Amazon Neptune Graph Database, SPARQL
Data Engineering / ETL Pipelines
GraphRAG
Nice to have skills
Gen AI integration, Python  Backend API Development
Detailed Job Description
Education Bachelors or Masters degree in Computer Science, Data Science, Information Architecture, or a related field.
Graph Databases Extensive hands on experience designing and managing production scale instances of Amazon Neptune.
Graph languages, specifically Gremlin or SPARQL.
Programming Advanced production coding in Python or JVM environments Java, Scala.
Cloud Infrastructure Strong proficiency with AWS Services e.g., AWS S3, Amazon RDS, Amazon ECS
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Design enterprise ontologies, taxonomies, and graph schemas that reflect complex business structures.
Architect, configure, and scale Amazon Neptune database environments to handle billions of relationships.
Integrate knowledge graphs into GraphRAG pipelines to enhance contextual grounding and minimize AI hallucinations. Partner with AI teams to implement hybrid search architectures combining graph traversals with vector databases.

If Interested, please share your updated resume along with Work Authorization status and Current Location at: