Principal Data Engineer

Wells Fargo

Quick summary

Work type
On-site
Location
Chandler, AZCharlotte, NCIrving, TX
Posted
3 days ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $176k
$133k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $141,637–$211,200.

Based on 240 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 90 open roles on FindRole.

Listed pay typically runs $144,009–$224,000 across 50 roles with salary data.

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At a glance

TL;DR · Principal Data Engineer

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Wells Fargo is hiring a Principal Data Engineer to modernize its data platform for Enterprise Risk, Audit, and Finance Technology. This role involves designing and building foundational data infrastructure that enables seamless access and enrichment of multi-modal data at scale, serving as a bridge between source systems and AI-driven workloads. The engineer will drive the evolution of the platform into an AI-native semantic foundation with robust APIs and self-service capabilities, ensuring secure and optimized data for autonomous workflows. Key responsibilities include architecting large-scale solutions, presenting technology strategies to C-level executives, and delivering cloud-ready and cloud-native projects. Ideal candidates have 7+ years of experience in Java/Python/PySpark full stack development, 4+ years in the financial services industry, and expertise in AI utilization, agentic data platforms, and runtime governance with agents enforcing security and lineage. Experience with Google Cloud Compute or Microsoft Azure, Open Table formats like Trino/Presto, and agent observability is preferred.

Skills

Python PySpark Java Google Cloud Platform (GCP) Microsoft Azure Trino Presto Kubernetes CI/CD Docker AWS OpenTable LLM APIs Semantic Data Foundation Agent Observability Audit Trails Runtime Governance Data Quality Security Lineage

What you'll do

  • Design and build foundational data infrastructure to enable seamless access to multi-modal data at scale.
  • Ensure reliability and consistency in data flow between source systems and AI-driven workloads.
  • Drive the evolution of the platform into an AI-native, semantic data foundation with robust APIs.
  • Implement runtime governance with agents enforcing security, lineage, and data quality during execution.
  • Build agentic data platforms that replace traditional ETL processes with autonomous ingestion agents.

What we're looking for

  • 7+ years of experience in architecting and delivering large-scale solutions
  • 4+ years presenting technology strategies to C-level executives
  • Deep expertise in Java/Python/PySpark full stack development
  • 2+ years of AI utilization and agentic development experience
  • Preferred: Experience with Google Cloud Compute (GCP) or Microsoft Azure
  • Strong background in financial services industry
  • Hands-on engineering skills and commitment to modern AI practices

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