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Data Engineering Analyst Wells Fargo Jobs (NOW HIRING)

Wells Fargo is seeking a Lead Software Engineer to drive innovation and technical excellence within ... Cleanse, normalize, and enrich raw data for analytics. Implement robust data quality checks and ...

Wells Fargo is seeking a Lead Software Engineer to drive innovation and technical excellence within ... Cleanse, normalize, and enrich raw data for analytics. Implement robust data quality checks and ...

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Partner with domain data engineers, analytics, and ML teams to onboard use cases onto platform ...

Lead Data Engineer

Iselin, NJ · On-site +1

$116K - $139K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Partner with domain data engineers, analytics, and ML teams to onboard use cases onto platform ...

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How much do data engineering analyst wells fargo jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data engineering analyst wells fargo in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Engineering Analyst at Wells Fargo, and why are they important?

To thrive as a Data Engineering Analyst at Wells Fargo, you need a strong background in data management, SQL, data modeling, and analytics, usually supported by a degree in computer science, information systems, or a related field. Familiarity with tools and platforms such as Hadoop, Spark, ETL frameworks, and cloud data services, along with relevant certifications, is often required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts work collaboratively and translate technical insights for business stakeholders. These competencies are vital for ensuring data integrity, supporting business intelligence, and optimizing data-driven decision making within a regulated financial environment.

How does a Data Engineering Analyst at Wells Fargo typically collaborate with other teams within the organization?

As a Data Engineering Analyst at Wells Fargo, you will work closely with cross-functional teams such as data scientists, business analysts, and IT professionals. Your role often involves gathering requirements, designing data pipelines, and ensuring data quality to support business initiatives. Collaboration is key, as you’ll be expected to communicate complex technical concepts to non-technical stakeholders and align your work with broader organizational goals. Regular meetings, agile sprints, and project documentation are common collaboration practices within the team structure.

What does a Data Engineering Analyst do at Wells Fargo?

A Data Engineering Analyst at Wells Fargo is responsible for designing, developing, and maintaining the data infrastructure that supports business operations and decision-making. They work with large datasets, create data pipelines, and ensure data is accessible, accurate, and secure for analytics and reporting purposes. Their work often involves collaborating with data scientists, business analysts, and IT teams to deliver scalable data solutions that meet organizational needs.

What is the difference between Data Engineering Analyst Wells Fargo vs Data Analyst Wells Fargo?

AspectData Engineering Analyst Wells FargoData Analyst Wells Fargo
Required CredentialsBachelor's in Computer Science, Data Science, or related field; SQL, Python, ETL toolsBachelor's in Statistics, Business, or related field; SQL, Excel, data visualization tools
Work EnvironmentFocus on building data pipelines, data architecture, and infrastructureFocus on analyzing data, generating reports, and providing insights
Employer & Industry UsageCommon in banking, finance, and large corporations for data infrastructureCommon in finance, marketing, and business sectors for data analysis

The Data Engineering Analyst at Wells Fargo primarily develops and maintains data pipelines and infrastructure, requiring technical skills in data architecture. In contrast, the Data Analyst focuses on analyzing data sets to generate insights and reports. Both roles are essential in data-driven decision-making but differ in technical depth and focus areas.

Infographic showing various Data Engineering Analyst Wells Fargo job openings in the United States as of June 2026, with employment types broken down into 37% Full Time, 60% Part Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
GCP Lead Software Engineer

GCP Lead Software Engineer

Wells Fargo

Chandler, AZ • On-site

Full-time

Posted 14 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 685 frontline employees who took The Breakroom Quiz

62nd of 141 rated banks


Job description

About this role:

Wells Fargo is seeking a Lead Software Engineer to drive innovation and technical excellence within the CTR space.This role will lead the design and optimization of scalable data platforms using technologies such as Apache Spark. The engineer will ensure robust observability and performance monitoring. They will also oversee workflow orchestration and DevOps practices, enabling efficient collaboration and delivery across teams. Strong partnership with business stakeholders is essential to deliver timely, impactful solutions to complex operational challenges.


In this role, you will:

  • Lead complex technology initiatives including those that are companywide with broad impact
  • Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines
  • Design, develop, and maintain ETL/ELT pipelines. Automate workflows for ingestion, transformation, and loading of data
  • Integrate data from multiple sources into data lakes or warehouses. Ensure optimal storage strategies balancing cost and performance
  • Cleanse, normalize, and enrich raw data for analytics. Implement robust data quality checks and governance frameworks
  • Monitor and optimize data workflows for scalability and efficiency
  • Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
  • Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
  • Lead projects, teams, or serve as a peer mentor

Required Qualifications:

  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5+ years of experience building data pipelines on Google Cloud Platform (GCP) using Cloud Dataflow, Cloud Dataproc, Cloud Composer, BigQuery, Cloud Storage (GCS), Pub/Sub, or similar GCP-native frameworks
  • 5+ years of experience with workflow orchestration using Cloud Composer
  • 5+ years of strong development proficiency in SQL and Python for data engineering tasks
  • 2+ years of experience with monitoring and observability using Cloud Monitoring, Grafana, or equivalent tools
  • Solid understanding of data modeling, ETL/ELT processes, and data governance best practices
  • Experience with Data Fusion, Dataplex and Dataprep would be a plus

Desired Qualifications:

  • Extensive hands-on experience with BigQuery, Cloud Storage, Cloud SQL, Cloud Dataflow and Cloud Composer.
  • Experience with performance monitoring and pipeline observability using GCP-native tools or third-party solutions
  • Proficiency with GCP resource management and workload optimization and cost control strategies
  • Familiarity with BigQuery for large-scale analytics and schema evolution
  • Knowledge of data lakehouse patterns using Apache Iceberg or similar technologies
  • Well-versed in PySpark, Pandas, and Polars for data processing
  • Experience using Jira and Confluence for agile workflows
  • Experience with interactive notebook environments (Jupyter, Zepplin, databricks or similar) for data engineering development

Posting End Date:

5 Jun 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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