Senior Data Engineer

Equifax

Senior Data Engineer at Equifax, responsible for creating high-quality datasets for analytical capabilities. Collaborating with stakeholders to deliver automated analytical solutions in a mature fashion.

Posted 5/28/2026full-timeAlpharetta • 🇺🇸 United StatesSeniorWebsite

ATS Keywords

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Hard Skills

SQLPythondata integrationdata cleansingdata structuringdata analysisdata quality checksdata pipeline developmentAI utilizationdata management best practices

Soft Skills

analytical insightsproblem-solvingcollaborationcommunicationprocess improvement

Tools & Technologies

GCPdata processing documentation

Certifications & Qualifications

BS degree in STEM

Industry Keywords

data engineeringdata sourcesdata anomaliesdata maintenancedata reporting

Tech Stack

Tools & technologies

Google Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Integrate, consolidate, cleanse and structure data for use by our analysts
Analyze, understand and prepare complex and new data sources and incorporate them into project design
Use analytical insights to develop solutions, improve processes and work with counterparts in the business to implement proposed solutions
Create SQL and Python Pipelines that are optimized, efficient, repeatable and scalable
Perform design, creation, and interpretation of large and highly complex datasets
Utilize AI to accelerate development, optimize code, and create processing documentation for data pipelines
Understand best practices for data management, maintenance, and reporting and use that knowledge to implement improvements in our solutions
Develop and implement data quality checks and troubleshoot data anomalies
Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions

Requirements

What you’ll need

BS degree in a STEM major or equivalent discipline
5 - 7 years of experience in data related profession, with a minimum of 2 years as a data engineer
Extensive experience in SQL is a must, as well as strong knowledge of Python
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

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