Software Engineer: Data Engineering, GCP, GenAI (Open)

About this role:

Wells Fargo is seeking a Software Engineer

In this role, you will:

Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts

Identify opportunities for service quality and availability improvements within the technology domain environment

Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments

Review 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 domains

Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements

Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements

Provide 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:

Google Cloud Platform (GCP)

BigQuery, Dataproc / Apache Spark, Bigtable, Dataplex / Data Catalog

Python (ETL/ELT pipelines and automation)

SQL (data transformation, validation, and reconciliation)

Databases: MySQL, Hive, MongoDB

Cloud Composer / Apache Airflow

Kafka and Google Pub/Sub

Apigee / REST APIs (data extraction and integration)

GenAI (LLMs, embeddings, prompt engineering) and how they integrate with data platforms

Experience or familiarity with Vertex AI, BigQuery ML, or GenAI‑enabled data services on GCP (preferred but not mandatory)

Design and execute comprehensive data migration strategies from on‑premises, legacy platforms, or other cloud environments to GCP.

Migrate structured and semi‑structured data to BigQuery, Bigtable, and other GCP storage solutions.

Build, optimize, and maintain scalable migration pipelines using Python, SQL, and distributed processing frameworks on Dataproc (Apache Spark).

Implement batch and streaming migration patterns using Cloud Composer (Apache Airflow), Kafka, and Google Pub/Sub.

Perform schema mapping, data transformation, reconciliation, and validation to ensure accuracy, consistency, and completeness of migrated datasets.

Leverage GenAI and automation techniques to accelerate data discovery, schema understanding, mapping recommendations, and migration assessments.

Apply GenAI‑assisted data transformation, code generation, and migration pattern optimization where applicable (e.g., SQL conversion, pipeline scaffolding, test case generation).

Enable metadata management, lineage, and governance using Dataplex and Data Catalog.

Handle large‑volume data transfers using industry best practices such as parallel loading, incremental loads, and CDC where applicable.

Job Expectations:

Handles GenAI Automation

Small to Large scale big data implementation, with tool based and spark flow implementation

GCP Transformation

Strong foundation in data engineering and cloud migration

Hands-on experience delivering complex data migration programs on GCP

Detail-oriented with a proactive approach to identifying migration risks

Ability to work cross-functionally to ensure successful delivery outcomes

Focus on high reliability, performance, and data integrity during migrations

Brings a modern mindset toward GenAI adoption

Leverages AI-assisted techniques to improve migration efficiency

Supports enhanced data governance and readiness for advanced analytics and AI use cases

Posting End Date:

23 Jun 2026

Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

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.