Senior Data Engineer: AI-Driven Data Platform & Pipelines

Talentify; Alpharetta (GA); On-site; USD 120,000 - 190,000; Full time

Job summary

Equifax is seeking a Senior Data Engineer to lead the evolution of our data platform, building data products, AI capabilities, and self-service solutions for data users. You will design scalable pipelines, work with batch and streaming data, and mentor junior engineers within the Data Platform team.

The role emphasizes implementing AI-driven data workflows, integrating AI services, and advancing standards across the EWS D&A organization.

Qualifications

• 7+ years in data engineering, data architecture, or related field
• Strong data modeling, warehousing, and data integration knowledge
• 3+ years in a GCP big data environment
• Experience with building complex data pipelines using multiple GCP services
• Proven ability to communicate complex technical concepts to stakeholders
• Bachelor's degree or higher in CS/IS or related field

Responsibilities

• Design and implement data engineering frameworks to scale data pipelines
• Build batch and streaming pipelines from upstream cloud systems
• Enable new GCP services and self-service capabilities on the data platform
• Mentor junior engineers within the Data Platform team
• Design and maintain data pipelines supporting AI/ML applications
• Explore AI agents to automate data management tasks and monitor data quality
• Help set engineering standards and best practices in EWS D&A

Skills

Python development

SQL

Data modeling

Communication

Education

Bachelor's degree or higher in CS/IS

Tools

BigQuery

DataFlow

DataProc

Pub/Sub

Cloud Functions

Airflow

Cloud Composer

Vertex AI

Job description

Equifax is seeking a Senior Data Engineer to lead the evolution of our data platform, building data products, AI capabilities, and self-service solutions for data users. You will design scalable pipelines, work with batch and streaming data, and mentor junior engineers within the Data Platform team.

The role emphasizes implementing AI-driven data workflows, integrating AI services, and advancing standards across the EWS D&A organization.