Senior Data Engineer

Wells Fargo

Confirmed live today High trust

Closes in 5 days Hybrid

Quick summary

Work type: Hybrid
Location: Charlotte, NCIselin, NJ
Employment: Full-time
Posted: 11 days ago
Freshness: Confirmed live today
Closes: Oct 14, 2026 (soon)
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $163k

$111k $216k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$199,100.

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 24 open roles on FindRole.

Listed pay typically runs $159,000–$254,000 across 8 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

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The Senior Data Engineer joins the Enterprise Counterparty Risk Technology team within the Commercial & Corporate & Investment Banking Technology organization. This role involves leading moderately complex initiatives to develop technology solutions for identifying, measuring, aggregating, and reporting counterparty credit risk. Daily responsibilities include designing, coding, testing, and documenting projects, as well as reviewing technical challenges and providing guidance to less experienced staff. The position requires proficiency in Python, SQL, and Power BI, with desired experience in Java, Dremio, Apache Iceberg, CI/CD tools, Jira, Confluence, and Agentic AI. Candidates must possess a strong understanding of capital markets, investment banking business processes, clearing operations, and prime brokerage to solve problems related to managing risk within the firm's established risk appetite and regulatory frameworks.

What does a Data Engineer earn?

Median $164000 from 193 postings across 57 companies.

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Skills

Python SQL Power BI Java Dremio CI/CD Apache Iceberg Jira Confluence GitHub Copilot Agentic AI Agile Data Pipelines Data Visualization

What you'll do

Lead moderately complex technical initiatives and deliverables within the technology domain.
Design, code, test, debug, and document projects for technology upgrades and deployments.
Evaluate complex technical challenges to select appropriate technologies and procedures.
Resolve complex issues while ensuring compliance with firm policies and regulatory requirements.
Provide guidance and direction to less experienced staff as a project escalation point.
Contribute to large-scale strategic planning for the Enterprise Counterparty Risk Technology team.
Develop and maintain data pipelines and solutions using Agentic AI tools.

What we're looking for

4+ years of Software Engineering experience.
4+ years of Python development experience.
4+ years of SQL development and data analysis experience.
2+ years of Power BI reporting and dashboard development experience.
3+ years of experience supporting Counterparty Credit Risk functions within Capital Markets environments (preferred).
Experience developing and supporting data visualizations using Dremio (preferred).
Java development experience (preferred).
Experience working in Agile delivery teams, including sprint planning, backlog refinement, and stand-ups (preferred).

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