Generative AI Engineer

Equifax

Generative AI Engineer developing data quality models and building data pipelines at Equifax. Supporting data analytics solutions and mentoring junior data engineers in a dynamic data environment.

Posted 4/28/2026full-timeAtlanta • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll 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

Benefits

Comp & perks

Comprehensive compensation and healthcare packages
401k matching
Paid time off
Organizational growth potential through our online learning platform with guided career tracks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data quality modeldata pipelinesdata integrationdata cleansingdata structuringdata managementdata securitydata quality checksPythonSQL

Soft Skills

mentorshipguidancetroubleshootingcommunication

Certifications

BS degree in STEMMaster’s Degreecloud certification