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Wells Fargo

Lead Software Engineer

Posted 38 Minutes Ago
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Hybrid
Iselin, NJ, USA
119K-224K Annually
Senior level
Hybrid
Iselin, NJ, USA
119K-224K Annually
Senior level
Lead design and delivery of scalable, secure data platforms and pipelines on GCP and on-prem. Architect real-time and batch ingestion using Spark, Kafka, Pub/Sub; ensure data quality, lineage, governance, and observability. Drive AI/LLM tooling adoption, mentor teams, support incidents, and collaborate cross-functionally to deliver analytics, reporting, and enterprise data solutions.
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About this role:
Wells Fargo is seeking a Lead Software Engineer - Data & Insights to design, build, and support scalable, secure, and high-performance data platforms leveraging on-premises and Google Cloud Platform (GCP) and enterprise-grade data technologies. This role will lead strategic initiatives to enable real-time and batch data processing, advanced analytics, and regulatory reporting while aligning with enterprise risk, governance, and compliance standards.
Learn more about career areas and lines of business at wellsfargojobs.com.
In this role, you will:
  • Lead complex technology initiatives including those that are companywide with broad impact
  • Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
  • Design, code, test, debug, and document for projects and programs
  • Review 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 factors
  • Work on AI driven PDLC to drive engineering productivity and innovation
  • Lead the design and development of large-scale data pipelines using Apache Spark (batch & streaming) and GCP-native services.
  • Architect and implement event-driven data platforms using Apache Kafka and Pub/Sub for real-time ingestion and processing.
  • Build and optimize data warehouse and lakehouse architectures using BigQuery, Cloud Storage, and MS SQL Server.
  • Design and implement real-time streaming solutions using Kafka Streams, Spark Structured Streaming, or Dataflow.
  • Create consumption side API's, Analytics rollups and Reporting (Power BI). Preferred experience in Java/Sprint boot
  • Ensure data quality, lineage, observability, and governance through enterprise frameworks and controls.
  • Collaborate with cross-functional teams to deliver secure, compliant, and scalable data solutions.
  • Provide leadership in distributed systems design, event streaming architecture, and enterprise data management.
  • Support incident management, root cause analysis, and continuous improvement for data services.
  • Design, code, test, debug, and document for projects and programs
  • Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
  • Lead projects, teams, or serve as a peer mentor
Required Qualifications:
  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 1+ experience of working on AI engineering tools, agent creation and LLM models.
  • 3+ years of experience leading in Data Engineering, Data Management, SQL Server, MongoDB, Teradata, ETL
  • 3+ years hands-on experience with GCP (Google Cloud Platform) including GCP BigLake, BigQuery, and Dataplex
  • 3+ years building and maintaining data pipelines using Apache Spark (Java SDK), Apache Iceberg, Kafka, and dbt+
  • 3+ years of experience working with large-scale, distributed data systems and platforms such as Cloudera Data Platform.
  • 3+ years of experience with Agile, Autosys, CI/CD, and DevOps practices using tools such as Jenkins, GitLab, or Tekton
Desired Qualifications:
  • Experience in converting SSIS packages to Apache Spark or other GCP-native data processing frameworks, modernizing legacy workflows
  • Strong experience in data engineering, APIs, and connectivity solutions (SQL, NoSQL, REST, GraphQL)
  • 1+ experience on Java/Spring boot
  • Strong background in building and maintaining Approved Data Stores (ADS) and Operational Data Stores (ODS) to support enterprise analytics and operational requirements.
  • 3+ years of Merchant Services or Credit Card industry experience
  • Familiarity with data governance, security, and privacy standards, including lineage tracking and auditability in cloud environments.
Job Expectations:
  • Ability to travel up to 10% of the time
  • This position offers a hybrid work schedule
  • Relocation assistance is not available for this position
  • This position is not eligible for Visa sponsorship
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$119,000.00 - $224,000.00
Benefits
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 benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement
Posting End Date:
16 Aug 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.
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.
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Wells Fargo New York, New York, USA Office

150 E 42nd Street, New York, NY, United States, 10017

Wells Fargo New York, New York, USA Office

500 West 33rd Street Manhattan, New York, NY, United States, 10001

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