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Amazon Data Engineer Jobs in Delaware (NOW HIRING)

Judge Group, Inc.

Java Developer

Wilmington, DE · On-site

$49.50 - $64/hr

Senior Java Data Engineer (AWS) Job Overview We are looking for a Senior Java Data Engineer with ... Amazon S3 * AWS Glue (Glue Tables) * AWS Athena * AWS Lambda (where applicable) * Debug and resolve ...

Amazon

Operations Manager

Middletown, DE · On-site

Job summary Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

Stefanini

Cloud Security Engineer

Dover, DE · On-site

... Google, Amazon, and Microsoft. This includes in-depth knowledge of each provider's security ... Data Security: The candidate must demonstrate an understanding of data classification standards and ...

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All JobsAmazon Data Engineer JobsAmazon Data Engineer Jobs in Delaware

Amazon Data Engineer information

See Delaware salary details

$44.5K

$129.8K

$177.7K

How much do amazon data engineer jobs pay per year?

As of Jul 25, 2026, the average yearly pay for amazon data engineer in Delaware is $129,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $137,600.00 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 Delaware? The most popular types of Amazon Data Engineer jobs in Delaware are:
What are popular job titles related to Amazon Data Engineer jobs in Delaware? For Amazon Data Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Amazon Data Engineer jobs in Delaware look for? The top searched job categories for Amazon Data Engineer jobs in Delaware are:
Amazon Data Engineer jobs near you
Infographic showing various Amazon Data Engineer job openings in Delaware as of July 2026, with employment types broken down into 1% Locum Tenens, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $129,828 per year, or $62.4 per hour.
Java Developer

Java Developer

Judge Group, Inc.

Wilmington, DE • On-site

$49.50 - $64/hr

Other

Posted 22 days ago

Job description

Location: Wilmington, DE Description:
Job Title: Senior Java Data Engineer (AWS)
Job Overview
We are looking for a Senior Java Data Engineer with strong experience building and supporting large-scale batch data processing systems on AWS. This role focuses on ETL-style data pipelines, data warehousing concepts, and high-volume analytics platforms. The ideal candidate is a hands-on engineer who can independently debug complex issues and work closely with analytics, risk, and platform teams.
This is not a real-time or streaming role-the environment is heavily batch-oriented.
Key Responsibilities
  • Design, develop, and maintain Java-based batch data processing applications
  • Build and support ETL pipelines operating at scale in AWS
  • Work extensively with AWS EMR for distributed data processing
  • Develop and maintain integrations using:
    • Amazon S3
    • AWS Glue (Glue Tables)
    • AWS Athena
    • AWS Lambda (where applicable)
  • Debug and resolve complex production issues independently
  • Support data warehouse-like environments and analytical workloads
  • Collaborate with analytics, fraud risk, and platform teams to ensure data accuracy and reliability
  • Improve operational efficiency through automation
  • Leverage AI productivity tools (e.g., GitHub Copilot) responsibly to improve development quality and reduce risk
  • Follow engineering best practices for reliability, scalability, and compliance

Minimum Qualifications (Must Haves)
  • Strong hands-on Java development experience
  • Solid experience working with AWS, specifically:
    • Amazon S3
    • EMR (primary and heavily used)
    • AWS Glue (Glue Tables)
    • AWS Athena
    • AWS Lambda
  • Proven experience with batch processing systems (non-real-time)
  • Strong debugging and troubleshooting skills with the ability to work independently
  • Experience building ETL-style data pipelines
  • Background working in data warehouse or analytics platforms

Preferred Qualifications (Nice to Haves)
  • Experience with Apache Spark or Java Spark
  • Exposure to Snowflake (basic understanding required; deep expertise not expected)
  • Experience with automation frameworks or tooling
  • Exposure to AI-assisted development tools (e.g., GitHub Copilot or similar)
  • Experience with Terraform (currently used, though being phased out)
  • Background supporting fraud risk, financial data, or analytics platforms
  • Awareness or prior exposure to PySpark (acceptable, though role is Java-focused)

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