Lead Graph Data Engineer

Wells Fargo

Closes in 2 days

Quick summary

Work type: On-site
Location: Iselin, NJ · Charlotte, NC · Irving, TX
Salary: $119,000–$224,000 / yr
Posted: 5 days ago
Closes: Jun 8, 2026 (soon)

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k

This role $172k

$105k most similar roles pay here $237k

This role pays more than 58% of similar roles. Most pay $126,800–$210,642 — the shaded band above. At the midpoint, this role pays about $172k versus about $169k for comparable roles.

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 91 open roles on FindRole.

Listed pay typically runs $151,000–$239,000 across 54 roles with salary data.

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View all roles at Wells Fargo

At a glance

TL;DR · Lead Graph Data Engineer

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Wells Fargo is hiring a Lead Graph Data Engineer to join its Fraud and Claims Technology team, where you will play a pivotal role in expanding the enterprise graph database platform used for fraud detection and claims analysis. Your responsibilities include leading complex data engineering initiatives, designing secure and compliant large-scale data pipelines, and optimizing the analytics architecture across hybrid or cloud environments. You will also collaborate with internal partners to resolve challenging data issues and enhance data governance practices. Ideal candidates have over five years of experience in database engineering, expertise in graph databases like Neo4j, and proficiency in tools such as PySpark, Spark, Hadoop, Hive, and ETL/ELT solutions. This role requires a strong technical background and deep understanding of fraud technology to support the bank’s strategic initiatives at scale.

Skills

Neo4j PySpark Spark Hadoop Hive Informatica Ansible SQL Oracle PostgreSQL MongoDB CI/CD AWS Kubernetes Docker Terraform

What you'll do

Lead the design and engineering of secure, compliant graph database solutions for fraud detection.
Develop large-scale data pipelines to optimize performance in hybrid or cloud environments.
Enhance data governance by improving analytics architecture and connected data intelligence.
Identify and report complex issues in data and applications to leadership for resolution.
Collaborate with internal partners to resolve highly risky data engineering challenges.

What we're looking for

5+ years of database engineering experience or equivalent
4+ years in enterprise-scale data architecture, governance, and platform optimization
2+ years of graph database design experience with Neo4j or similar technology
Strong technical skills in PySpark, Spark, Hadoop, Hive, ETL/ELT tools
Experience with SQL and NoSQL databases including Oracle, PostgreSQL, MongoDB
Lead complex initiatives and software planning for the Technology area

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