
Leading company in the financial services industry
Lead Data Engineer at Wells Fargo
About the role
About this role:
- Wells Fargo is seeking a Lead Data Engineer.In this role, you will:
- Lead complex initiatives with broad impact and act as key participant in large scale software planning for the Technology area
- Design, develop, and run tooling to discover problems in data and applications and report the issues to engineering and product leadership
- Review and analyze complex software enhancement initiatives for business, operational or technical improvements that require in depth evaluation of multiple factors including intangibles or unprecedented factors
- Make decisions in complex and multi-faceted data engineering situations requiring understanding of software package options and programming language and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change
- Strategically collaborate and consult with internal partners to resolve highly risky data engineering challenges
Required Qualifications:
- 5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Additional Required Qualifications:
- Experience in Data Engineering, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- GCP, Big query, Starburst, Dremio, Pyspark, Python
Job Expectations:
- Design, develop, and maintain scalable ETL/ELT pipelines to ingest and transform data from multiple sources.
- Write optimized Python scripts for data processing, automation, and integration workflows.
- Leverage Py Spark to process and analyze large volumes of structured and unstructured data on distributed computing platforms (e.g., Databricks, AWS EMR, Azure HDInsight).
- Develop complex SQL queries, stored procedures, and views for data extraction, transformation, and reporting.
- Migrate and re-engineer legacy SAS programs/macros into modern Python/Py Spark equivalents.
- Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
- Ensure data quality, integrity, and consistency across data pipelines and warehouses.
- Document data flows, transformations, and pipeline logic for maintainability.
- Monitor, troubleshoot, and optimize existing data workflows and jobs.
- Participate in code reviews and contribute to best practices in the data engineering team.
- Expert in GCP Data engineering
Posting End Date:
19 May 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, visit Disability 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.
Required skills
Data engineering
ETL/ELT
Python
PySpark
BigQuery
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About Wells Fargo

Wells Fargo
PublicWells Fargo & Company is an American multinational financial services company. The company operates in 35 countries and serves more than 70 million customers worldwide.
10,001+
Employees
San Francisco
Headquarters
$163B
Valuation
Reviews
10 reviews
3.7
10 reviews
Work-life balance
3.8
Compensation
3.2
Culture
3.9
Career
3.1
Management
3.4
72%
Recommend to a friend
Pros
Good benefits and health coverage
Flexible schedules and work arrangements
Supportive team environment
Cons
Limited career advancement opportunities
High stress and overwhelming workload
Poor management and lack of direction
Salary Ranges
16 data points
Mid/L4
Senior/L5
Mid/L4 · Lead Analytics Consultant
1 reports
$151,878
total per year
Base
$116,064
Stock
-
Bonus
-
$151,878
$151,878
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer rate
25%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
Behavioral Interview
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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