Job Description

About this role:

Wells Fargo is seeking a Senior Data Engineer.

In this role, you will:

• Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables
• Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting
• Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors
• Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis
• Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements
• Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals

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

Desired Qualifications:

• We are seeking a highly skilled Senior Data Engineer with 4+ years of hands-on experience in building, optimizing, and maintaining large-scale data processing systems. The ideal candidate will have strong expertise in Google Big Query, ETL development (preferably Informatica), Teradata databases, and working knowledge of Google Cloud Composer, Airflow, Python, GenAI/Agentic AI
• Design, develop, and maintain scalable and reliable data pipelines for batch and near-real-time processing.
• Build, enhance, and support ETL workflows, preferably using Informatica, ensuring data quality, performance, and reliability.
• Develop and maintain integrations with Google Big Query and Teradata including data modeling, performance tuning, and query optimization.
• Managing complex dependencies in ETL/ELT pipelines, such as orchestrating data flow between BigQuery, Cloud Storage, and Dataflow using Google Cloud Composer and Apache Airflow-based workflow orchestration service
• Work with Python and create optimalization and efficiency.
• Utilize GenAI/Agentic AI for reasoning, planning, and tools to execute complex, multi-step workflows where applicable.
• Collaborate with data architects, analysts, and business stakeholders to translate data requirements into technical solutions.
• Ensure best practices around data governance, security, monitoring, and operational excellence
• Troubleshoot production issues, perform root cause analysis, and drive performance improvements.
• Mentor junior data engineers and contribute to code reviews and design discussions.

Job Expectations:

• Google Big Query - (Mandatory)
• Python - (Mandatory)
• Teradata – (Preferably)
• Informatica – (Preferably)
• Google Cloud Composer - (Preferably)
• Airflow - (Preferably)
• GenAI/Agentic AI – (Preferably)
• Experience with Linux/Unix environments
• Knowledge of data validation, reconciliation frameworks
• Exposure to CI/CD pipelines and version control tools like Git
• Familiarity with cloud platforms (GCP preferred)
• Understanding of data warehousing and Cloud architecture
• Strong analytical and problem-solving abilities
• Excellent communication and stakeholder management skills
• Ability to work independently in a fast-paced environment
• Team-oriented mindset with mentoring capabilities

Posting End Date:

26 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.