Senior Data Engineer – Enterprise Data Frameworks (Java Spark Focus)

Description

Senior Java Data Engineer

Enterprise Data Frameworks

Role Summary

The Enterprise Data Frameworks team is seeking a Senior Java focused software engineer who builds and maintains large scale data processing systems using Java, Apache Spark, and Kafka. This role is intended for experienced backend engineers with strong core Java fundamentals who apply traditional software engineering practices to data intensive platforms and distributed systems.

The ideal candidate has hands on experience developing production grade Java applications using modern frameworks and IntelliJ based development workflows, paired with practical experience building Spark based processing pipelines and Kafka driven data ingestion services. In this role, you will contribute to the core components of enterprise data frameworks, working closely with senior engineers and architects while remaining deeply involved in design and implementation.

This role requires strong Java engineering skills, the ability to debug and optimize complex Spark applications, and comfort operating in regulated environments where stability, data quality, and reliability are critical.

Key Responsibilities

• Design, build, and maintain Java based data processing pipelines using Apache Spark for batch and streaming workloads
• Develop and support Java based backend services and APIs that orchestrate data workflows and framework components
• solid object oriented design principles to distributed data processing systems
• Optimize Spark applications for performance, reliability, and cost efficiency across cloud and on premises environments
• Collaborate with architects and senior engineers on technical design and framework evolution
• Partner with frontend and platform teams to integrate backend data services where applicable
• Translate business and technical requirements into scalable, well structured engineering solutions
• Participate in code reviews, contribute to shared s...