Financial Data Engineer

Benefits

• Comprehensive compensation
• Healthcare packages
• 401(k) matching
• Paid time off
• Organizational growth potential through online learning platform with guided career tracks

Location: St. Louis, Missouri (onsite).

About Equifax

Equifax is a global data, analytics and technology company that supports employers, employees, financial institutions and government agencies in making informed decisions with greater confidence.

We focus on creating seamless experiences during pivotal moments such as applying for jobs or mortgages, financing education, or buying a car. Our priorities include career advancement, learning and development, nurturing future leaders, maintaining an inclusive and diverse workplace, and recognizing our employees. Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

Responsibilities

• Contribute to designing and implementing data models for the Equifax Workforce Solutions Finance domain within GCP.
• Help establish strategies, standards, and best practices for data access and integration in GCP.
• Recommend approaches to increase data utilization based on the data delivery environment.
• Collaborate with Technology, Security, Data Governance and IT Operations to move key Financial data assets to GCP efficiently.
• Stay current with the evolving GCP technologies landscape and share knowledge with the team.
• Support the technology roadmap and architecture discussions, translating business vision into scalable engineering deliverables within an Agile framework.
• Orchestrate automated data workflows and processes using Python, Spark, Airflow, Jenkins and Astronomer to eliminate manual intervention and boost operating efficiency.
• Engage in rigorous software development activities, including unit tests and code deployments, and participate in code reviews to maintain codebase health.
• Research and evaluate emerging data sources and advanced technologies including ML, AI and RPA to enhance the Finance data strategy and outputs.
• Partner with governance and compliance professionals to ensure ethical and legal use of data assets and maintain precise lineage tracking.
• Collaborate with IT Centers of Excellence to refine ETL toolsets and drive improvements in cycle time and system performance.
• Author training materials and lead sessions to educate internal teams on data strategy, operating models, and evolving data capabilities.
• Deconstruct complex organizational problems into actionable data components to support evidence-based solutions.
• Triage product or system issues, performing root-cause analysis and implementing short- and long-term resolutions.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Statistics, Economics, or a related quantitative field with strong programming emphasis.
• 5+ years of experience building, loading, transforming, and analyzing data across database platforms and other data stores.
• 5+ years of experience in Google Cloud Platform or a similar cloud environment.
• 5+ years of scripting or coding experience.
• Proficiency in Python, SQL, BigQuery, and Airflow or Cloud Composer.

Technologies

• GCP (Google Cloud Platform)
• Python
• Airflow
• Jenkins
• Astronomer
• Spark
• SQL
• BigQuery
• Cloud Composer
• Tableau
• Looker
• Spotfire
• Machine Learning (ML)
• Artificial Intelligence (AI)
• Robotic Process Automation (RPA)