Engineer, Java & Spark

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Team Overview

The Data Platform Team is driving the evolution of our enterprise-grade data infrastructure, shifting legacy workloads into a modern, cloud-native ecosystem. We focus on building highly scalable, resilient, batch and real-time data architectures using technologies like Java, Apache Spark, Hadoop, and advanced cloud platforms. Operating within a collaborative, cross-functional engineering environment, our team balances robust data pipeline optimization with modern engineering best practices like containerization and microservices. We are committed to high code quality, continuous learning, and delivering high-utility data solutions that empower the business to make fast, data-driven decisions at scale. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview And Core Responsibilities

• Build and optimize scalable batch and real-time data pipelines, transitioning legacy workloads to cloud environments under the direction of project leads.
• Collaborate with architects and senior leaders to execute the Data Cloud roadmap, ensuring operational excellence and system reliability.
• Deliver high-quality code within agile teams, actively participating in code reviews and upholding team engineering standards.
• Implement modern engineering best practices, including CI/CD, automated pipeline testing, and infrastructure as code.
• Share technical knowledge with team members, fostering a culture of continuous learning and data quality.
• Drive execution on technical requirements, ensuring delivery timelines and data quality standards are met.
  
  

Required Knowledge And Experiences

• 3+ years of software or data engineering experience, with a proven track record of delivering production-grade data solutions.
• Deep proficiency in Java, with hands-on experience building scalable, high-performance data processing applications. Understanding of micro services architecture and containerization technologies.
• experience in the big data ecosystem, specifically utilizing Hadoop and Apache Spark for large-scale distributed computing.
• Knowledge developing, managing, and optimizing data infrastructure on cloud platforms (GCP or AWS).
• Excellent collaboration and communication skills, with a strong ability to work within cross-functional engineering teams.
• Known for a get-things-done mindset—able to break down data tasks, work independently, and deliver high-quality code in fast-paced environments.
  
  

Performance Expectations For This Level

• Hands-on Execution: You are expected to write clean, resilient code and build end-to-end data pipelines based on established architectural designs.
• Collaboration & Alignment: You work seamlessly within cross-functional teams, ensuring your deliverables align with the broader project timelines and business goals.
• Technical Proficiency: You independently troubleshoot and optimize data pipelines, addressing bottlenecks, cloud storage costs, and query performance.
• Engineering Standards: You actively participate in code reviews, adopt team best practices, and maintain high standards for documentation and testing.
  
  

TransUnion Overview

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver's seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that's why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Be a part of our Workforce for Good – you'll work with great people, pioneering products and cutting-edge technology.

TransUnion Job Title

Engineer, Applications Development