Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

This is an exciting opportunity for a highly motivated and skilled Data Engineer to join the Finance Business Intelligence team at Equifax Workforce Solutions and play a pivotal role in shaping our data landscape. The Data Engineer is instrumental in driving data-driven decisions by designing, developing, and maintaining robust and scalable data pipelines and architectures. This dynamic role involves extracting, transforming, and loading (ETL) large and complex datasets from diverse systems, ensuring the utmost data quality, accuracy, and accessibility for critical reporting and insightful analytics. You'll collaborate closely with financial analysts and business stakeholders, translating their data requirements into cutting-edge, efficient data solutions. Beyond building new infrastructure, you'll also be responsible for optimizing existing data infrastructure for peak performance and unwavering reliability, directly supporting the creation of essential financial dashboards and strategic business intelligence. We're looking for someone who thrives on solving complex data challenges and is passionate about empowering the finance organization with actionable insights.

What you'll do:

Apply the knowledge of data characteristics and data supply pattern, develop rules and tracking process to support data quality model. Prepare data for analytical use by building data pipelines to gather data from multiple sources and systems. Integrate, consolidate, cleanse and structure data for use by our clients in our solutions. Perform design, creation, and interpretation of large and highly complex datasets. Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions. Understand best practices for data management, maintenance, reporting and security and use that knowledge to implement improvements in our solutions. Implement security best practices in pipelines and infrastructure. Develop and implement data quality checks and troubleshoot data anomalies. Provide guidance and mentorship to junior data engineers. Review dataset implementations performed by junior data engineers. What experience you need: BS degree in a STEM major or equivalent discipline; Master's Degree strongly preferred 5+ years of experience as a data engineer or related role Cloud certification strongly preferred Advanced skills using programming languages such as Python or SQL and intermediate level experience with scripting languages Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts, as well as basic knowledge of other cloud environments Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects Experience designing and implementing moderately complex data models and experience enabling optimization to improve performance Demonstrates advanced Git usage and CI/CD integration skills What could set you apart: Google Cloud and Big Data Competency Experience in AI/ML engineering Strong communication skills of analytical results to technical and non-technical audiences alike Skilled problem solver with ability to analyze information to make an independent decision Strong organizational and multitasking skills and ability to follow up on outstanding issues and meet deadlines in a high-demand environment Ability to learn and understand new technologies quickly

#LI-JD1

#LI-Hybrid

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location: USA-St. Louis-Clayton

Function: Function - Data and Analytics

Schedule: Full time