Senior Software Engineer-Python,spark,Iceberg,Hive

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 one 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 opensource technologies
• Will contribute to modernizing the application landscape by moving away from the current legacy tech stack and toolset
• Will operate in a fastpaced 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.