TransUnion's Job Applicant Privacy Notice
Team Overview
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 industry's 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.
Role Overview And Core Responsibilities
Impact You'll MakeAs a Data Engineer supporting Fraud Solutions, you will be responsible for designing, developing, and maintaining robust data pipelines, data products, and analytical platforms that enable fraud detection, monitoring, and investigation.
Key responsibilities include:
- 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
Required Knowledge And Experiences
- Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or related technical discipline.
- 2 years of experience in data engineering, software engineering, or large-scale data platform development.
- Demonstrated expertise in performing data engineering work within Google Cloud ecosystem (GCP), designing and developing dashboards in visualization tools.
- Good understanding of data warehousing concepts and technologies
- Strong SQL expertise and advanced proficiency in Python or Scala.
- Experience designing and maintaining enterprise-scale ETL/ELT pipelines.
- Hands-on experience with distributed data processing frameworks such as Spark/PySpark.
- Experience working with large-scale datasets and cloud-native data platforms.
- Strong understanding of data architecture, dimensional modeling, and advanced database concepts.
- Experience implementing data quality controls, reconciliation processes, and monitoring frameworks.
- Knowledge of software engineering best practices including CI/CD, automated testing, source control, and DevOps principles.
- Understanding of the business intelligence development life cycle including the ability to lead collaboration discussions to gather the needs for desired outcomes for the BI solutions being built
- Strong communication and stakeholder management skills.
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
Sr Consultant, Data Integration
Skills Required
- Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related technical discipline
- At least 2 years of experience in data engineering, software engineering, or large-scale data platform development
- Experience performing data engineering work within the Google Cloud Platform ecosystem
- Experience designing and developing dashboards using visualization tools
- Understanding of data warehousing concepts and technologies
- Strong SQL expertise
- Advanced proficiency in Python or Scala
- Experience designing and maintaining enterprise-scale ETL/ELT pipelines
- Hands-on experience with distributed data processing frameworks such as Spark or PySpark
- Experience working with large-scale datasets and cloud-native data platforms
- Understanding of data architecture, dimensional modeling, and advanced database concepts
- Experience implementing data quality controls, reconciliation processes, and monitoring frameworks
- Knowledge of software engineering practices including CI/CD, automated testing, source control, and DevOps principles
- Understanding of the business intelligence development lifecycle and ability to gather requirements for BI solutions
- Strong communication and stakeholder management skills
What the Team is Saying
What We Do
TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace. We do this by having an accurate and comprehensive picture of each person. This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world. Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve. We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.
Why Work With Us
Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
