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 do
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
What experience do you need
At least 7 years of experience in data engineering, data architecture, or a related field
Strong understanding of data engineering principles and best practices, including data modeling, data warehousing, and data integration
At 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 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
Bachelor's degree or higher in Computer Science, Information Systems, or a related field
What could set you apart
Hands-on experience with AI-assisted coding tools
Experience 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 APIs
Experience programming in Java
Experience scaling Airflow
Experience with dbt
DevOps / CICD experience (Jenkins and GitHub) and IaC experience using Terraform for managing GCP infrastructure
GCP Professional Data Engineer or Professional Cloud Architect certification
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!
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!
Primary Location:
USA-St. Louis-LacklandUSA-Atlanta JV WhiteFunction:
Function - Data and AnalyticsSchedule:
Full timeSkills Required
- At least 7 years of experience in data engineering, data architecture, or a related field
- Strong understanding of data engineering principles and best practices, including data modeling, data warehousing, and data integration
- At least 3 years of experience working in a GCP big data environment
- Experience building complex data pipelines and solutions using two or more of: 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 technical and non-technical stakeholders
- Bachelor's degree or higher in Computer Science, Information Systems, or a related field
- Hands-on experience with AI-assisted coding tools
- Experience 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 APIs
- Experience programming in Java
- Experience scaling Airflow
- Experience with dbt
- DevOps / CICD experience (Jenkins and GitHub) and IaC experience using Terraform for managing GCP infrastructure
- GCP Professional Data Engineer or Professional Cloud Architect certification
Equifax Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Equifax Inc. and has not been reviewed or approved by Equifax Inc..
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Retirement Support — Savings programs include a 401(k) with company matching and, in some contexts, profit-sharing or pension components. These are described as solid parts of the total package.
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Parental & Family Support — Programs include paid parental leave for birth and non-birthing parents and adoption assistance. Company materials highlight these benefits as part of a family-supportive offering.
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Flexible Benefits — Multiple medical plan choices, dental and vision options, FSAs/HSAs, and voluntary supplemental coverages enable customization. The company publishes plan summaries and SPDs to help compare cost and coverage by location and tier.
Equifax Inc. Insights
What We Do
At Equifax (NYSE: EFX), we believe knowledge drives progress. As a global data, analytics, and technology company, we play an essential role in the global economy by helping financial institutions, companies, employers, and government agencies make critical decisions with greater confidence. Our unique blend of differentiated data, analytics, and cloud technology drives insights to power decisions to move people forward. Headquartered in Atlanta and supported by nearly 15,000 employees worldwide, Equifax operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region. For more information, visit Equifax.com.
