Level

Wells Fargo

Senior Software Engineer (Data)

Wells Fargo is hiring a Senior Software Engineer (Data). Level rates it ; you can apply on Level.

AI in this role

Senior Software Engineer (Data) needed to design and support enterprise data engineering solutions for financial planning and forecasting.

pysparkobject-storageci-cd
data-engineeringsoftware-engineeringpythonfinancial-forecasting

About this role:

Wells Fargo is seeking a Senior Software Engineer (Data) within Technology, aligned to the Enterprise Functions Technology Group. This role sits within the Enterprise Risk Audit and Finance Technology Team (ERAFT) and will play a key role in supporting business-critical planning processes for Lines of Business (LOBs), while helping transform and modernize the technology ecosystem that powers them.

This role will design, implement, and support enterprise-scale technology solutions that enable financial forecasting, planning, and reporting across the organization. The Senior Software Engineer (Data) will leverage modern data engineering practices and automation to enable scalable and secure data processing capabilities.

In this role, you will:

  • Lead moderately complex initiatives and deliverables within technical domain environments

  • Contribute to large scale planning of strategies

  • Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments

  • Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures

  • Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements

  • Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals

  • Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

  • The ideal candidate should be able to ramp up on the implementation in relatively short duration

  • The ideal candidate should be able to think outside the box and come up with solutions for day to day implementation issues

  • The ideal candidate should be able to demonstrate ownership and develop/support the implementation holistically as opposed to specific modules within the implementation


Required Qualifications:

  • 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

  • 2+ years of experience designing, developing, and supporting enterprise data engineering solutions utilizing Pyspark and Object Storage


Desired Qualifications:

  • Bachelors or higher degree in Engineering

  • Working experience in the financial forecasting and planning space

  • Experience implementing CI/CD, infrastructure-as-code, and DevOps practices within data engineering environments.

  • Strong proficiency in SQL and Python, with experience developing scalable ETL/ELT pipelines and automation solutions
  • Proven ability to troubleshoot complex production issues and drive root-cause resolution.
  • Strong understanding of data warehousing, dimensional modeling, data lakes, and data governance principles.
  • Experience leading technical initiatives, mentoring engineers, and establishing engineering best practices
  • Strong verbal and written communication skills, with the ability to collaborate effectively across engineering, analytics, and business teams
  • Familiarity with multi-dimensional databases, particularly Essbase


Job Expectations:

  • This position offers a hybrid work schedule.

    Posting End Date: 

    8 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.

    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.

    How we rate this

    Senior Software Engineer (Data) at Wells Fargo rates 0 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.

    Classification

    Little AI. AI is not part of the work.

    1. ●●●● Builds AI80 to 100
    2. ●●●○ Works on AI60 to 79
    3. ●●○○ Uses AI40 to 59
    4. ●○○○ 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

    A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

    Skills and AI tools this role asks for

    Data EngineeringSoftware EngineeringPythonFinancial ForecastingPysparkObject StorageCi Cd

    Questions you could be asked

    1. Tell me about a project where data engineering was part of your work. What did you do?
    2. Tell me about a project where software engineering was part of your work. What did you do?
    3. Tell me about a project where python was part of your work. What did you do?
    4. Tell me about a project where financial forecasting was part of your work. What did you do?
    5. Walk me through how you've used Pyspark in your day-to-day work.

    Adapt your resume

    • List these exact terms on your resume: Data Engineering, Software Engineering, Python, Financial Forecasting, and Pyspark. An applicant tracking system matches the wording, not the idea.
    • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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