Equifax

Data Engineer

Equifax

full-time

Posted on:

Location Type: Hybrid

Location: Alpharetta • Montana • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AirflowBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

  • 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.

Requirements

  • 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.
Benefits
  • Comprehensive compensation and healthcare packages
  • 401k matching
  • Paid time off
  • Organizational growth potential through our online learning platform with guided career tracks

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringdata architecturedata modelingdata warehousingdata integrationBigQueryDataFlowDataProcPub/SubCloud Functions
Soft skills
effective communicationtechnical concepts explanation
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Information Systems