Lead Full Stack Engineer

What We'll Bring:

This position is for a team lead who will serve as a key contributor on one of the core teams driving the development of TransUnion’s OneTru Analytics platform.

What You'll Bring:

As a Full Stack Lead Engineer on one of our agile analytics teams, you will play a critical role in designing, developing, and delivering scalable, data-driven solutions that power TransUnion’s OneTru Analytics platform. This role blends deep technical expertise across the stack with a strong understanding of modern data and analytics engineering practices in a cloud-native environment.

You’ll be expected to take ownership of complex features, guide technical direction, and collaborate closely with cross-functional teams to deliver impactful solutions.

Key Skill Areas:

• Full-Stack Development (Java, Python, React, Vue.js)
• Cloud-Native Engineering (GCP preferred; experience with Kubernetes, Terraform, Cloud Functions, Pub/Sub)
• Data Engineering & ETL Pipelines (Spark, Kafka, Airflow, Dataflow)
• Big Data & Relational Databases (BigQuery, Hive, PostgreSQL, Snowflake)
• Agile (Scrum) Development Practices
• Technical Leadership & Code Quality Advocacy

Key Responsibilities:

• Design and implement full-stack analytics features, from data ingestion to user-facing applications
• Lead technical design discussions and guide implementation best practices within the team
• Collaborate with product owners and stakeholders to translate business needs into scalable technical solutions
• Ensure system reliability, performance, and data integrity across services
• Support and optimize analytics environments in partnership with DevOps and business teams
• Mentor peers and promote engineering excellence through code reviews, documentation, and knowledge sharing

Impact You'll Make:

• Seven or more years of hands-on experience in a software development profession
• Two or more years of hands-on experience leading technical teams and coaching resources
• Proficiency in Java, SpringBoot, Spring, MVC architecture
• Proficiency with machine learning and MLOps would be a plus
• Proficiency working in a Linux-based environment, including shell scripting and basic system administration
• Experience with Big Data tools, such as Hive and Spark
• Experience working on teams operating under an Agile Scrum delivery methodology
• Experience working within CI/CD environments and a passion for automation and system quality
• Excellent analytical skills and the ability to provide alternative solutions to technical problems
• Strong written and verbal communication skills
• Bachelor’s degree in Computer Science, Information Systems Management or equivalent experience

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.