Zions Bancorporation's Enterprise Technology and Operations (ETO) team is seeking a Data Engineer to join the Fraud Engineering team to design and implement data-driven solutions to detect, prevent, and mitigate fraud across the enterprise. The role involves acquiring, transforming, and positioning data to support operational, managerial, and analytical reporting, particularly for fraud detection and risk analytics.
Requirements
- Proficiency in programming and scripting languages (SQL, Python, PySpark).
- In-depth knowledge of the banking industry, loan and deposit systems, regulatory reporting requirements, or experience with data warehouses, data lakes, and common data models.
- Hands-on experience with cloud-based data warehousing and analytics platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse), as well as big data ecosystems including data lakes and Databricks.
- Familiarity with fraud analytics, anomaly detection models, and real-time data processing frameworks (e.g., Apache Spark, Kafka) is highly desirable.
- Experience in the financial services industry, particularly in fraud prevention, transaction monitoring, or compliance analytics, is a strong plus.
- Strong troubleshooting skills.
- Excellent analytical, organizational, and problem-solving skills.
Responsibilities
- Work within a SAFe Agile team to build and maintain a Continuous Delivery Data Pipeline.
- Take ownership of the SDLC process, managing work quality and quantity through frequent releases, and closely coordinate with data engineers, modelers, product owners, and other information analysts.
- Analyze and map system data into the operational or integrated data warehouse or big data platform to meet reporting and analytical business needs.
- Test and validate data attributes based on source data and results from other systems to ensure accuracy.
- Create and maintain clear, detailed, and accurate metadata documentation for data integration processes and data flows.
- Stay updated with the latest trends and best practices in data integration and data warehousing.
- Lead small projects and teams to develop solutions for our customers, working with the modeling and architecture team and business analysts across multiple departments.
Other
- Ability to estimate scope and schedule and commit to deadlines.
- Effective presentation and communication skills.
- Ability to work collaboratively with management, peers, and technical staff.
- Bachelor’s degree in information systems, Data Analytics, Data Management, or related field, or equivalent experience.
- 4+ years’ experience in data analysis, operations support, software development, project management, or related fields, with a strong focus on fraud detection technologies and data-driven risk mitigation. A combination of education and experience may meet requirements.
