Senior Data Engineer
Wells Fargo is hiring a Senior Data Engineer. Level rates it ; you can apply on Level.
AI in this role
About this role:
Wells Fargo is seeking a Lead Data Engineer – Automation for the Data Integration and Development (DID) team. It is a development team within Digital Technology and Innovation that is responsible for supporting critical Data Engineering and Data Integration platforms in the Wells Fargo ecosystem.
The Senior Data Engineer position, specifically with expertise in data engineering , data integration , data pipelines, design, development, performance tuning, automation, high availability, and operational support experience with MongoDB, Cassandra, Oracle platform will join a growing and high energy team supporting Enterprise customers. As a Senior Data Engineer, you will be responsible for providing the highest technical expertise for the planning, design, development, and implementation for Data platforms including technical communications with the vendor. This role will also provide oversight, mentoring, and leadership to less experienced on-shore and off-shore staff. The successful candidate must be comfortable working on multiple fast moving projects simultaneously, collaborating with application architects, application teams, information security teams, and leadership at all levels of the organization.
Responsibilities for this role in working on an enterprise team supporting large, highly complex Databases include the following:
- Ability to see the big picture and influence future direction in alignment with DTI enterprise goals.
- Generative AI – Embrace generative ai practices and help implement AI enabled search and tools.
- Design and develop Data Pipelines and Data Integration processes to meet the requirements of high tier applications.
- Automation - Streamline Database change deployment using tools like Liquibase that scale with technology changes.
- Design and develop migration strategies for RDBMS to NOSQL solutions
- Design and develop end-to-end Data solutions including design of data models, scripts and tools for automation.
- Gain technical depth and breadth with new features, products, and tools to serve as a subject matter expert for the DTI organization.
- Drive adoption of standard operational practices to deliver highly available solutions.
- Ability to take a lead role in projects that have a broad impact.
- Strong Customer Service Focus.
Required Qualifications:
- 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 3+ years of Database design, Data Pipelines, Data modelling, Database performance and performance tuning experience (NoSQL and Relational)
- 2+ years of working in a RHEL environmen
- 2+ years of MongoDB, MongoDB Ops Manager experience
- 2+ years of working in the OCP (Open Shift Container Platform) or another virtualization environment with python and ETL processing
- 2+ years of Developing Mongo queries, aggregation pipelines and reporting.
- 2+ years of supporting Cassandra, Oracle Database environments.
Desired Qualifications:
- 2+ years supporting Data Engineering implementations in a regulated banking or financial industry.
- Experience with OCP (Open Shift Container) and Python scripting.
- Experience with automation tools - Liquibase and integration with Harness
- Experience supporting MongoDB Databases scaled across data centers.
- Experience using Mongo Shell and Mongo utilities for data transformation and processing.
- In-depth understanding of MongoDB HA strategies, including replica sets.
- Experience with setting and tuning MongoDB system parameters
- Experience using MongoDB Ops Manager
- Experience with Cassandra, Yugabyte and Oracle
- Experience with designing LDAP roles, users, privileges keeping Enterprise Security rules in place.
- Experience with Python, Shell scripting
- Experience with Jira and Agile
- Strong analytical skills with high attention to detail and accuracy
- Excellent verbal, written, and interpersonal communication skills
Job Expectations:
- Must be based in one of the above locations or willing to relocate at your own expense.
- Relocation assistance is not available for this position.
- This position currently offers a hybrid work schedule, 3 days onsite.
- This position is not eligible for visa sponsorship.
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $120,000.00 - $196,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
20 Oct 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.
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.
How we rate this
Senior Data Engineer at Wells Fargo rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
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Pay
- Typical data engineer job
- $150k
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