Senior Data Platform Engineer - AI & Pipelines

Equifax, Inc.; St. Louis (MO); On-site; USD 130,000 - 170,000; Full time

Job summary

Equifax, Inc. is seeking a Senior Data Engineer to lead the evolution of our data platform, and build data products, AI capabilities, and self-service solutions for the users of our data platform.

You will design and implement data engineering frameworks, build complex batch and streaming pipelines, and enable new GCP services to enhance functionality and scale of our data platform. You will mentor junior engineers and help set engineering standards across the organization.

Qualifications

• : 7+ years of data engineering, data architecture, or related field.

Responsibilities

• Design and implement data engineering frameworks to scale development and deployment of data pipelines across the D&A organization.
• Build complex batch and streaming pipelines to ingest data from upstream Equifax cloud systems.
• Enable new GCP services and build self-service capabilities to enhance functionality of our data platform.
• Act as a mentor to junior engineers within the Data Platform team and also the broader D&A organization.
• Design, build, and maintain scalable data pipelines that support AI/ML applications.
• Explore and implement AI agents to automate repetitive data management tasks, monitor data quality, and orchestrate complex data workflows.
• Play an active role in setting engineering standards and best practices in EWS D&A

Skills

Python development

SQL

Data modeling

Data warehousing

Data integration

GCP experience

Communication

Education

Bachelor's degree or higher in Computer Science or related field

Tools

BigQuery

DataFlow

DataProc

Pub/Sub

Cloud Functions

Airflow

Cloud Composer

Vertex AI

Job description

Equifax, Inc. is seeking a Senior Data Engineer to lead the evolution of our data platform, and build data products, AI capabilities, and self-service solutions for the users of our data platform.

You will design and implement data engineering frameworks, build complex batch and streaming pipelines, and enable new GCP services to enhance functionality and scale of our data platform. You will mentor junior engineers and help set engineering standards across the organization.