Senior Software Engineer- SQL, Data Engineer

• About this role:

Wells Fargo is seeking a Senior Software Engineer

• In this role, you will:

• Lead moderately complex initiatives and deliverables within technical domain environments
• Contribute to large scale planning of strategies
• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
• Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

• Required Qualifications:

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

• Desired Qualifications:

Technical Experience (4+ years)

• Hands-on engineering experience using:

  • Python, Spark, Iceberg, Hive
  • Dremio or virtualization/federation/semantic layer tools
  • Any major cloud – Azure or GCP
  • ETL tools: Ab Initio (preferred), Informatica, DataStage
  • Databases: Oracle, MS SQL, Teradata
  • Orchestration: Autosys, Airflow (preferred)
  • Strong SQL development and tuning skills

• Proven experience supporting and optimizing large enterprise-scale data environments.

• Working with modern Data Warehousing, Data Lakes, and Lakehouse architectures.

• Monitor, tune, and troubleshoot large-scale distributed systems.

• Diagnose memory, performance, partitioning, and query-related inefficiencies across compute engines.

• Ensure system reliability, scalability, and high throughput in enterprise data environments.

• Expertise in designing / implementing modern data platforms with:

  • Standardization of patterns, frameworks, and reusable components
  • Automated code-generation, CI/CD and DevOps best practices
  • Cloud-native and open-table formats (e.g., Iceberg)

• Hands-on experience in

GenAI, Agentic AI,

and LLM adoption, such as:

• Building RAG architectures, vector stores, embedding pipelines
• Integrating data systems with enterprise AI platforms
• Using LLMs to improve data quality, metadata extraction, or automation of data engineering tasks
• Familiarity with data governance and security frameworks, including privacy, compliance, lineage, and access control.
• Strong communication skills and collaborate with cross-technical / functional teams.
• Ability to work in an agile, fast-paced environment while delivering high-quality results.
• Passion for innovation, continuous learning, and adopting modern practices including AI-driven development.

• Job Expectations:

• Expected to work with enterprise-grade frameworks and modern open‑source technologies
• Will contribute to modernizing the application landscape by moving away from the current legacy tech stack and toolset
• Will operate in a fast‑paced Agile environment with close collaboration across teams.
• Responsible for design, requirements analysis, optimization, and defining development best practices and standards.
• Expected to perform thorough peer code reviews and contribute to overall code quality and engineering excellence.

• Posting End Date:

5 Sep 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.

• 4+ years of Software Engineering experience (or equivalent via work, training, military experience, or education)
• 4+ years technical experience
• Hands-on engineering experience with Python, Spark, Iceberg, Hive
• Experience with Dremio or virtualization/federation/semantic layer tools
• Experience with a major cloud platform — Azure or GCP
• ETL tools experience: Ab Initio (preferred), Informatica, DataStage
• Databases experience: Oracle, MS SQL, Teradata
• Orchestration experience: Autosys, Airflow (preferred)
• Strong SQL development and tuning skills
• Proven experience supporting and optimizing large enterprise-scale data environments
• Experience with modern Data Warehousing, Data Lakes, and Lakehouse architectures
• Ability to monitor, tune, and troubleshoot large-scale distributed systems
• Ability to diagnose memory, performance, partitioning, and query-related inefficiencies across compute engines
• Ensure system reliability, scalability, and high throughput in enterprise data environments
• Expertise designing/implementing modern data platforms: standardized patterns, frameworks, reusable components, automated code-generation, CI/CD and DevOps best practices
• Experience with cloud-native and open-table formats (e.g., Iceberg)
• Hands-on GenAI/Agentic AI/LLM experience: building RAG architectures, vector stores, embedding pipelines, integrating data systems with enterprise AI platforms
• Using LLMs to improve data quality, metadata extraction, or data engineering automation
• Familiarity with data governance and security frameworks: privacy, compliance, lineage, access control
• Strong communication skills and ability to collaborate with cross-technical/functional teams
• Ability to work in an agile, fast-paced environment delivering high-quality results