Data Engineer

• Build complex batch and streaming pipelines to ingest data from upstream Equifax cloud systems.
• Design and implement data engineering frameworks to scale the development and deployment of data pipelines across the D&A organization.
• Leverage AI-powered coding assistants to accelerate development, optimize code, and generate documentation for data pipelines and infrastructure.
• Develop and refine prompts for Large Language Models (LLMs) to assist in data-related tasks such as data cleansing, transformation logic generation, and automated data documentation.
• 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.

Data Engineer

Senior Data Engineer

Lead Data Engineer – Snowflake, DBT, Databricks, Pandas

Scientific Data Architect

Data Engineer