Data Engineer

Equifax • Full-time • St Louis, MO, US • 2d ago

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

Workforce Solutions Data & Analytics (EWS D&A) is a high-energy, fast-growing organization within Equifax charged with building and supporting best-in-industry data assets and analytical solutions. We deliver solutions and insights to enable success for our customers, drive growth for our business, and create value for our shareholders.

As a Data Engineer, you will play a crucial role in the evolution of our data platform, support the activation of AI capabilities across the team, and build data products and self-service solutions for the users of our data platform.

What You’ll Do

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.

What Experience Do You Need

At least 5 years of experience in data engineering, data architecture, or a related field.
A strong understanding of data engineering principles and best practices, including data modeling, data warehousing, and data integration.
At least 1 year of experience working in a GCP big data environment.
Experience building complex data pipelines and solutions using two or more of the following: BigQuery, DataFlow, DataProc, Pub/Sub, Cloud Functions.
Experience with Airflow or Cloud Composer.
Experience with Vertex AI.
Proficiency in Python development.
Professional experience with SQL.
Proven ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
A Bachelor's degree or higher in Computer Science, Information Systems, or a related field.

What Could Set You Apart

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.

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.