Sr. Consultant - Data Engineering

At TransUnion, we are committed to using information for good. We foster an environment where innovation, professional growth, and collaboration drive meaningful outcomes for our customers and communities. As part of our Fraud Prevention organization, you will work with talented data scientists, engineers, product leaders, and fraud experts to build and scale data platforms that support advanced fraud analytics, machine learning, and real-time decisioning solutions.
You will work alongside data scientists, fraud strategists, software engineers, and product leaders to develop high-performance data environments that power some of the industrys leading fraud prevention capabilities. This is a remote position which may require occasional in-person attendance at work-related events at the discretion of management.
Impact Youll Make

• Lead the global technical development, deployment, and maintenance of Cyber Defense data ecosystem, using the latest data programming languages and visualization tools. This includes optimizing big data data pipelines, architectures and data sets to enhance anomaly detection tools
• Design, build, and optimize scalable batch and real-time data pipelines supporting fraud detection and risk analytics.
• Partner with Data Scientists to operationalize fraud models and analytical solutions in production environments.
• Build and manage ETL/ELT workflows for ingestion and transformation of structured and unstructured data.
• Design, develop and publish charts and dashboards for alerts on potential fraud and regulatory violations
• Ensure data quality, governance, lineage, observability, and monitoring across fraud data ecosystems.
• Develop reusable frameworks and automation tools that accelerate fraud analytics and model deployment.
• Collaborate with product, engineering, cybersecurity, and fraud teams to translate business requirements into scalable technical solutions.
• Support streaming architectures that enable near real-time fraud detection and decisioning.
• Optimize platform performance, reliability, and cost efficiency across cloud environments.
• Troubleshoot complex data and pipeline issues while ensuring high availability and operational excellence.
• Document architecture, technical standards, and engineering best practices.
• Design and implement solutions to automate department tools and technology to drive more efficiency and productivity

Sr Consultant, Data Integration