Senior Data Engineer

Equifax • Alpharetta, GA

1d • Hybrid

About The Position

Equifax is seeking a Senior Data Engineer to join a high-energy, fast-growing organization focused on building and supporting best-in-industry data assets and analytical solutions. This role specifically contributes to the Ignite AI Advisor application, delivering solutions and insights to customers, driving business growth, and creating shareholder value. The Data Engineer will be crucial in evolving the data platform, activating AI capabilities, and building data products and self-service solutions for data platform users. Equifax operates on a hybrid work schedule, requiring three onsite days (Tuesday, Wednesday, Thursday) at the Equifax office in Alpharetta, GA, and allowing two remote days (Monday and Friday). This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support, and is not open to third-party vendors or C2C.

Requirements

• Bachelor's degree or equivalent experience.
• 5+ years of experience in data engineering, data science, data architecture, or a related data field.
• A strong understanding of data engineering principles and best practices, including data modeling, data warehousing, and data integration.
• 5+ years experience working with software design with Java, Python, SQL, and JavaScript programming languages.
• 5+ years experience with software build management tools like Maven or Gradle.
• 5+ years experience with Cloud technology: GCP, AWS, or Azure.
• Proficiency with continuous integration and continuous delivery tooling and practices - Jenkins, Docker, Kubernetes.

Nice To Haves

• Building and maintaining complex data pipelines and solutions.
• Self-starter that identifies/responds to priority shifts with minimal supervision.
• Demonstrated experience with prompt engineering to interact with and guide AI models for optimal outputs.
• Hands-on experience with AI-assisted coding tools.
• Familiarity with frameworks for building AI applications or agents (e.g., LangChain, LlamaIndex).
• Experience integrating AI services and models into data pipelines via APIs.
• DevOps/CICD experience (Jenkins and GitHub) and IaC experience using Terraform for managing GCP infrastructure.
• GCP Associate Cloud Engineer or Professional Data Engineer certification.

Responsibilities

• 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 Ignite landscape.
• 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.
• Work on the high visibility Ignite AI advisor project.

Benefits

• Comprehensive compensation and healthcare packages
• 401k matching
• Paid time off
• Organizational growth potential through an online learning platform with guided career tracks
• Nurturing people for career advancement and their learning and development
• Supporting the next generation of leaders
• Maintaining an inclusive and diverse work environment
• Regularly engaging and recognizing employees

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees