Job Description

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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.
TransUnion Job Title


Lead Engineer, Data Development