Senior Big Data Operations Engineer

Wells Fargo

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Charlotte, NC
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today
Closes
Nov 5, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $180k
$131k $222k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $147,200–$213,625.

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 23 open roles on FindRole.

Listed pay typically runs $159,000–$254,000 across 9 roles with salary data.

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View all roles at Wells Fargo

At a glance

TL;DR · Senior Big Data Operations Engineer

The Senior Big Data Operations Engineer will support the Risk Data Services team, managing a multi-tenant big data platform that provides integrated data for various risk stripes including Credit, Market, and Compliance. In this role, you will lead moderately complex initiatives, design, code, test, and debug projects, and provide end-to-end support for application tenant teams. You will manage compute queues, storage, and data processing while supporting migration activities to new data centers. The position requires hands-on experience with Hadoop, MongoDB, Python, Unix/Shell scripting, Spark, Autosys, Dremio, Grafana, Prometheus, Kubernetes, and Azure or GCP. You will resolve technical challenges, lead teams to meet client needs, and ensure the platform provides consistent data for risk management, monitoring, and reporting across the enterprise.

What you'll do

  • Design, code, test, debug, and document projects and programs for the technology domain.
  • Lead moderately complex initiatives and deliverables within technical domain environments.
  • Resolve complex technical issues and lead teams to meet client needs while ensuring compliance.
  • Support application tenant teams with setting up compute queues, storage, and data processing jobs.
  • Provide end-to-end support for processes and services within the big data environment.
  • Support migration activities from current infrastructure to new data centers within specified timelines.
  • Act as an escalation point and provide guidance and direction to less experienced staff.
  • Review technical challenges requiring in-depth evaluation of technologies and procedures.

What we're looking for

  • Bachelor's degree in Electronic Engineering or a related technical field.
  • 4 years of experience in software engineering or a related position.
  • 4 years of hands-on experience in Hadoop.
  • 4 years of experience with MongoDB.
  • 3 years of experience with Python, Unix/Shell scripting, or Spark.
  • 3 years of experience with Autosys.
  • 2 years of experience with Dremio.
  • 2 years of experience in setting up monitoring dashboards through Grafana or Prometheus.
  • 1 year of experience with Kubernetes.
  • 1 year of experience with Azure or GCP.

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