About this role:

Wells Fargo is seeking a Software engineer (Data engineer).

The Finance Technology Team within Enterprise Functions Technology (EFT) is seeking a Data Engineer to join our CALM (Corporate Asset and Liability Management) team at Wells Fargo Corporate Treasury. As a Software Engineer in the CALM Data Engineering team, candidate will play a pivotal role supporting the design, development, and maintenance of our metadata-driven data engineering frameworks. Candidate will work independently to deliver critical project tasks, focusing on building, enhancing, and troubleshooting robust data pipelines, APIs and wrapper capabilities for the CALM project. This role is essential for ensuring best practices and strong validations during Data Center exit migrations and DPC onboarding. Candidate will collaborate with cross-functional teams to drive the implementation of scalable, high-performance data solutions using Python, SQL, Apache Spark, Iceberg, Dremio and Autosys. Enterprise Finance & Technology is a collaborative, cross-functional, Agile organization that is looking for independent thinkers willing to drive innovative solutions for data delivery and data management.  

In this role, you will:

Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment effortsIdentify opportunities for service quality and availability improvements within the technology domain environmentDesign, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deploymentsReview and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domainsPresent recommendations for resolving issues or may escalate issues as needed to meet established service level agreementsExercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirementsProvide information to technology colleagues, internal partners, and stakeholders

Required Qualifications:

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

Desired Qualifications:

At least 1+ years of experience working with any RDBMSAt least 2+ years of experience in building big data pipelines.At least 2+ years of experience working with Apache Spark, Hive and HadoopStrong experience with programming in Python, SQL and good understanding of bash scripting for data processing and automationHands-on experience with Apache Spark for large-scale data processing.Experience with Autosys or similar job scheduling/orchestration tools.Experience in working with CI/CD pipelines, improving code coverage and vulnerability remediation2+ years of experience in Agile mode of workingDecent understanding on workings of Rest APIs, Dremio and ObjectstoreProven ability to independently deliver complex project tasks and solutions.Solid understanding of data engineering best practices, including validation and quality assurance.Excellent troubleshooting and problem-solving skills.Proficiency in data modeling and database designExperience in working with Open table formats like (Iceberg, Delta)Knowledge of data governance, security, and compliance requirements.Experience with GenAI use cases.Experience with cloud data platforms (e.g., AWS, Azure, GCP).Exposure to financial services or asset and liability management domains.

Job Expectations:

This role is essential for ensuring best practices and strong validations during Data Center exit migrations and DPC onboarding. Candidate will collaborate with cross-functional teams to drive the implementation of scalable, high-performance data solutions using Python, SQL, Apache Spark, Iceberg, Dremio and Autosys.

Posting End Date: 

13 Sep 2025

*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.