Senior Data Engineer

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.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.This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.As a Senior Data Engineer, you will lead the evolution of our data platform, and build data products, AI capabilities, and self-service solutions for the users of our data platform.  What you’ll doDesign 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 systemsEnable 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 organizationDesign, 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 workflowsPlay an active role in setting engineering standards and best practices in EWS D&A What experience do you needAt least 7 years of experience in data engineering, data architecture, or a related fieldStrong understanding of data engineering principles and best practices, including data modeling, data warehousing, and data integrationAt least 3 years 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 FunctionsExperience with Airflow or Cloud Composer Experience with Vertex AIProficiency in Python developmentProfessional experience with SQLProven ability to effectively communicate complex technical concepts to both technical and non-technical stakeholdersBachelor's degree or higher in Computer Science, Information Systems, or a related fieldWhat could set you apartHands-on experience with AI-assisted coding toolsExperience getting data assets AI ready Familiarity with frameworks for building AI applications or agents (e.g., LangChain, LlamaIndex).Experience integrating AI services and models into data pipelines via APIsExperience programming...