Senior Data Engineer

About this Role:

We are seeking a Senior Software Engineer - GCP Data Engineer to design, build, and optimize enterprise data products and data pipelines on Google Cloud Platform (GCP). This role focuses on developing scalable, high-quality data solutions that support analytics, operational reporting, regulatory reporting, and business decision-making. The ideal candidate combines strong software engineering practices with expertise in modern data engineering, data modeling, data quality, and performance optimization.

In this role, you will:

• Design, develop, and maintain scalable batch and near real-time data pipelines using GCP technologies.
• Build and enhance enterprise data products using BigQuery and other GCP data services.
• Develop data transformation logic, business rules, and reusable frameworks using Python and SQL.
• Design and optimize data models to support analytical, regulatory, and operational reporting needs.
• Implement BigQuery partitioning and clustering strategies to improve query performance and reduce processing costs.
• Perform data analysis and profiling to support solution design, root cause analysis, and data quality remediation.
• Collaborate with product owners, business analysts, architects, and engineering teams to translate business requirements into technical solutions.
• Ensure data quality, governance, lineage, and compliance requirements are incorporated into delivered solutions.
• Perform query optimization, performance tuning, and troubleshooting of large-scale data workloads.
• Participate in code reviews, technical design discussions, and continuous improvement initiatives.
• Mentor junior engineers and contribute to engineering best practices.

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 hands-on experience developing enterprise data solutions on Google Cloud Platform (GCP).
• 3 years of experience with Python and SQL
• 2 years of experience with BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Cloud Composer.
• 3 years of data warehousing, data modeling, ETL/ELT design, and data transformation principles

Desired Qualifications:

• Google Professional Data Engineer certification.
• Experience delivering large-scale enterprise data products and analytical solutions.
• Experience supporting Finance, Risk, Regulatory, Banking, or Lending data domains.
• Experience with data quality frameworks and data observability practices.
• Experience implementing metadata lineage and data governance solutions.
• Knowledge of Data Mesh, Data Products, and modern data architecture patterns.
• Experience leveraging AI-assisted development tools to improve engineering productivity.
• Experience optimizing high-volume datasets supporting multi-terabyte analytical workloads.
• Proven ability to improve performance and reduce costs through effective data design, partitioning, clustering, and query optimization.
• Experience working within Agile delivery teams.
• Strong analytical, problem-solving, and communication skills

Job Expectations:

• Deliver high-quality, scalable, and maintainable data solutions that support critical business and regulatory initiatives.
• Design data models and engineering solutions that balance performance, scalability, maintainability, and data quality.
• Contribute to technical leadership through mentoring, design reviews, and continuous improvement initiatives.
• Drive automation, standardization, and reuse across data engineering solutions.
• This position offers a hybrid work schedule
• Relocation assistance is not available for this position
• This position is not eligible for Visa sponsorship

Posting End Date: 

7 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.

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