Senior Software Engineer

Senior Software Engineer Data Engineer/DeveloperWells 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 Qualifications4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education3+ years of experience with Spark, Hadoop, or Big Data technologiesDesired Qualifications3+ years working with relational databases such as SQL Server, Oracle, or MySQL3+ years with Spark SQL2+ years building cloud-ready solutions on AWS, GCP, or PCF2+ years using CI/CD tools such as Jenkins, UrbanCode Deploy, or Harness2+ years with performance and monitoring tools such as JMeter, Blazemeter, Splunk, or AppDynamics2+ years integrating SQL & NoSQL data sources with Spark (e.g., MS SQL Server, MongoDB)2+ years of experience with Apache Kafka or Confluent EnterpriseStrong understanding of the Hadoop ecosystem, cloud platforms, HDFS, ETL/ELT workflows, and Unix shell scripting2+ 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 architectureExperience with PCF, OpenShift, or similar cloud-native platformsExperience with front-end or interface technologies such as JavaScript, HTML, or XMLExperience with Streaming, and DataFrame/Dataset APIsJob ExpectationsThis position offers a hybrid work scheduleAbility to work on-site at approved location listedRelocation assistance is not available for this positionThis position is not eligible for Visa sponsorshipAbility to work off hours and weekends as per business needs