Data Engineer

About this role:

Wells Fargo is seeking a Data Engineer to design, build and optimize scalable data platforms on Google Cloud Platform (GCP). The ideal candidate will have strong hands-on expertise in modern data engineering tools, distributed processing (spark/Pyspark), orchestration & growing exposure to GenAI-driven data solutions. This role requires excellent problem-solving capabilities and strong communication skills to work with cross functional teams.

In this role, you will:

• Participate in data warehouses across multiple databases and identify opportunity for developing table schemas within the Technology and Date area
• Review and analyze basic data management business, operational, or technical assignments or challenges that require research, evaluation, and selection of alternatives and exercise independent judgment to guide medium risk deliverables
• Present recommendations for resolving more complex data management situations and exercise independent judgment while developing expertise in the business data policies, procedures and compliance requirements
• Collaborate and consult with technology colleagues, internal partners and stakeholders, including internal and external customers if applicable

Required Qualifications:

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

Desired Qualifications:

• Strong experience in EDL pipelines using Spark & BigQuery on GCP
• Hands-on expertise in GCP services (BigQuery, Dataflow, GCS, IAM) and cloud-native architecture
• Solid understanding of enterprise data governance, data quality
• Exposure to AI/ML or GenAI use cases, including integration with data platforms and awareness of AI governance standards

Job Expectations:

• Design and build scalable, production-grade data pipelines on GCP supporting analytics and AI workloads
• Develop and manage secure, compliant cloud data platforms aligned with enterprise policies and controls
• Optimize data processing for performance, cost efficiency, and reliability (Spark + BigQuery workloads)
• Collaborate with AI/analytics teams to enable feature engineering, model consumption, and AI-driven insights

Posting End Date:

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.

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