Model Management Lead Engineer

About this role : Wells Fargo is seeking a full stack Engineer to join our team, with expertise in Cloud, Python / Spark and OpenShift. This role focuses on designing, deploying and managing scalable data processing solutions in a cloud-native environment. You will work closely with data scientists, software engineers, and DevOps team to ensure robust, high-performance data pipelines and analytics platforms. In this role, you will : Lead complex technology initiatives including those that are companywide with broad impactAct as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplinesDesign, code, test, debug, and document for projects and programsReview and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factorsMake decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiativesCollaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goalsLead projects, teams, or serve as a peer mentorData Pipeline Development : Design and implement large-scale data processing workflows using Apache SparkContainer Development : Design and implement docker imagesOptimization : Tune Spark jobs for performance, leveraging OpenShift's / Cloud resource management capabilitiesIntegration : Integrate spark with other data sources (e.g., Kafka, s3, cloud storage) and sinks (e.g., databases, data lakes)Required Qualifications : 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following : work experience, training, military experience, education3+ years working on Apache Spark for big data processing.2+ years of Django2+ years of Airflow development experience.2+ years of Cloud development experience. (Google Cloud preferred)Desired Qualifications : Proficiency in Spark frameworks (Python / PySpark)Familiarity with Docker and Kubernetes concerts (e.g., pods, deployments, services and images)Hands on working experience on distributed systems, cloud platforms (AWS, GCP, Azure), and data storage solutions (e.g., S3, HDFS)Programing : Strong coding skills in Python, Airflow, Django; experience with shell scripting is a plus.Education : Bachelor's degree in Computer Science, Engineering or related filed.Job Expectations : Willingness to work on-site at stated location on the job openingThis position offers a hybrid work scheduleThis position is not eligible for Visa sponsorshipRelocation assistance is not available for this positionPay RangeReflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.$111,100.00 - $217,200.00Benefits Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.Health benefits401(k) PlanPaid time offDisability benefitsLife insurance, critical illness insurance, and accident insuranceParental leaveCritical caregiving leaveDiscounts and savingsCommuter benefitsTuition reimbursementScholarships for dependent childrenAdoption reimbursementPosting End Date : 26 May 2025

• Job posting may come down early due to volume of applicants.We Value Equal OpportunityWells 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.Applicants with DisabilitiesTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.Drug and Alcohol PolicyWells 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.