Senior Software Engineer

Senior Software Engineer Data Engineer/Developer

Wells Fargo is seeking a seasoned Senior Software Engineer to design, develop, and deliver complex solutions within our big data, cloud, and distributed systems ecosystem. This role is critical in supporting large-scale data platforms and cloud-ready applications that power key banking experiences across the enterprise.

The ideal candidate will work closely with cross-functional Agile teams to build secure, scalable, and high-performance solutions. You will support both ongoing platform enhancements and new technology initiatives while ensuring all engineering, security, and compliance standards are met.

In this role, you will:

• Design, develop, test, debug, and document large-scale application components and platform features.
• Lead moderately complex engineering initiatives across big data, cloud, and distributed system environments.
• Analyze technical challenges and propose solutions grounded in strong engineering principles.
• Partner with engineering leads and product teams to shape technical strategies and long-term roadmaps.
• Serve as an escalation point for complex design, coding, and testing activities, including performance tuning.
• Develop models, simulations, and analytics to support platform enhancements.
• Create ad-hoc data queries to validate data quality and identify defects during testing.
• Collaborate closely with developers, testers, architects, and end-users to drive successful implementation.

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
• 3+ years of experience with Spark, Hadoop, or Big Data technologies

Desired Qualifications

• 3+ years working with relational databases such as SQL Server, Oracle, or MySQL
• 3+ years with Spark SQL
• 2+ years building cloud-ready solutions on AWS, GCP, or PCF
• 2+ years using CI/CD tools such as Jenkins, UrbanCode Deploy, or Harness
• 2+ years with performance and monitoring tools such as JMeter, Blazemeter, Splunk, or AppDynamics
• 2+ years integrating SQL & NoSQL data sources with Spark (e.g., MS SQL Server, MongoDB)
• 2+ years of experience with Apache Kafka or Confluent Enterprise
• Strong understanding of the Hadoop ecosystem, cloud platforms, HDFS, ETL/ELT workflows, and Unix shell scripting
• 2+ years working with automation and testing frameworks (e.g., Selenium, JUnit, Rest Assured, Jasmine, Karma)
• 2+ years of microservices development experience, including REST/SOAP service design and API architecture
• Experience with PCF, OpenShift, or similar cloud-native platforms
• Experience with front-end or interface technologies such as JavaScript, HTML, or XML
• Experience with Streaming, and DataFrame/Dataset APIs

Job Expectations

• This position offers a hybrid work schedule
• Ability to work on-site at approved location listed
• Relocation assistance is not available for this position
• This position is not eligible for Visa sponsorship
• Ability to work off hours and weekends as per business needs

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.

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.