Java Developer

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., Git Hub 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., Git Hub 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 Py Spark (acceptable, though role is Java-focused)

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Contact:

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