Financial Data Engineer

Equifax seeks a Financial Data Engineer to design and scale data frameworks that support the Workforce Solutions Finance domain. This onsite role in St. Louis, MO focuses on moving data solutions from prototype to production with minimal friction, owning all Workforce Solutions Financial data elements, and shaping an environment that enables actionable financial insights to drive business outcomes.

Role Summary

The position designs and develops scalable data solutions for Equifax Workforce Solutions Finance, ensuring smooth transitions from development to production. It involves curating financial data assets and fostering an environment optimized for extracting insights that propel business decisions forward.

Responsibilities

• Assist in designing and implementing the Equifax Workforce Solutions Finance data models in GCP
• Contribute to strategies, standards, and best practices for data access and integration within GCP
• Provide recommendations to increase data utilization based on understanding of the data delivery environment
• Collaborate with Technology, Security, Data Governance, and IT Operations to move key Financial data assets to GCP
• Maintain current knowledge of the evolving GCP technologies landscape and share findings with the team
• Support the technology roadmap and architectural discussions, translating business vision into scalable engineering deliverables within an Agile framework
• Orchestrate automated data workflows and processes using Python, Airflow, Jenkins and/or Astronomer to reduce manual intervention and improve efficiency
• Perform rigorous software development activities, including unit testing and code deployment, and participate in code reviews to ensure healthy codebases
• Research and evaluate emerging data sources and advanced technologies including ML, AI and RPA to enhance the data strategy
• Work with governance and compliance professionals to ensure ethical and legal use of data assets with precise lineage tracking
• Partner with IT Centers of Excellence to refine ETL toolsets for continuous improvement in cycle time and system performance
• Author training materials and lead sessions to educate internal teams on data strategy and evolving capabilities
• Deconstruct complex organizational problems into actionable data components to drive evidence-based solutions
• Triage product or system issues, conduct root cause analysis, and implement short- and long-term resolutions
• Orchestrate automated data workflows and processes using Python, Spark, Airflow, Jenkins and/or Astronomer to increase operating efficiency

Requirements

• Bachelor degree in Computer Science, Information Systems, Statistics, Economics, or equivalent quantitative field with strong emphasis on programming
• 5+ years of experience building, loading, transforming, and analyzing data across database platforms and data stores
• 5+ years of experience in a cloud environment, specifically GCP or a similar platform
• 5+ years of scripting or coding experience
• Proficiency in one or more of the following: Python, SQL, BigQuery, Airflow / Cloud Composer

Technologies

• GCP (Google Cloud Platform)
• Python
• Airflow
• Jenkins
• Astronomer
• Spark
• SQL
• BigQuery
• Cloud Composer
• Tableau
• Looker
• Spotfire
• ML, AI, RPA

Benefits

• Comprehensive compensation
• Healthcare packages
• 401k matching
• Paid time off
• Access to online learning platform with guided career tracks for growth

About Equifax

Equifax is a global data, analytics and technology company that helps organizations make informed decisions with confidence. Our work spans the experiences people have in pivotal moments, such as applying for jobs, seeking a mortgage, or financing education. We prioritize development of our people, support career advancement, and foster an inclusive and diverse work environment while recognizing achievement across locations and roles.

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, or other legally protected characteristics.