Wells Fargo is seeking a Senior Software Engineer - Data Engineering
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
- 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Design, build, test, deploy, and maintain large-scale structured and unstructured data pipelines using Python, SQL, Apache Spark, and modern data lake/lakehouse technologies.
- Develop and optimize metadata-driven pipelines, wrappers, ingestion frameworks, and validation layers to support GFCM data workflows.
- Build and maintain high-quality ELT/ETL pipelines following best practices in reliability, performance, observability, and reusability.
- Engineer and optimize Spark pipelines for large-scale batch and streaming workloads (partitioning, caching, Catalyst optimization, AQE, Tungsten).
- Work with open table formats such as Iceberg, Delta, or Hudi for versioned data, time-travel, compaction, and schema evolution.
- Implement Medallion (Bronze/Silver/Gold) architecture patterns for modern lakehouse systems.
- Implement automated data quality frameworks using tools such as Great Expectations / Deequ or custom validators.
- Build data health monitoring frameworks with SLAs/SLOs, anomaly detection, and lineage capture.
- Ensure strong validation layers during Data Center exits, migration programs, and DPC onboarding.
- Build RESTful and metadata APIs using Python frameworks (FastAPI/Flask) to enable secure, governed data access.
- Collaborate with application teams to integrate data access patterns and platform services.
- Design and deploy data pipelines in cloud platforms (AWS, Azure, GCP) leveraging managed compute, orchestration, and storage.
- Build CI/CD workflows and infrastructure automation using Jenkins, GitHub Actions, Azure DevOps, Terraform, or Helm.
- Apply secure engineering principles including IAM, secrets management, encryption standards, and network controls.
- Build resilient orchestration flows using Autosys or equivalent tools.
- Apply modular design with retries, alerts, SLAs, and workflow dependency management.
- Work with cross-functional Agile teams (Product, Architecture, QA, Treasury SMEs).
- Analyze technical requirements, evaluate design alternatives, and provide recommendations aligned with enterprise standards.
- Independently deliver complex engineering tasks and contribute to architecture/roadmap discussions.
- 4+ years of hands-on experience with Python, SQL, and bash scripting for automation.
- Strong experience building big data pipelines using Apache Spark, Hive, Hadoop.
- Experience with Autosys/Airflow or similar orchestration tools.
- Working knowledge of REST APIs, Object Storage, Dremio, and CI/CD pipelines.
- Strong troubleshooting and problem-solving capabilities.
- Solid foundation in data modeling (conceptual/logical/physical) and database design.
- Experience architecting pipelines using distributed systems patterns (shuffle optimization, spill, broadcast, storage layouts).
- Experience with streaming frameworks like Spark Structured Streaming or Apache Flink.
- Hands-on with optimization techniques: clustering, Z-ordering, vectorized IO (Parquet/ORC), compaction.
- Experience implementing Medallion architectures and governed ingestion zones.
- Knowledge of data governance platforms (Collibra, Alation, Purview).
- Understanding of financial data controls, validation rules, reconciliation checks, and compliance (SOX/PCI).
- Experience implementing lineage, observability, drift detection.
- Cloud-native engineering experience - serverless, managed Spark, event-driven architectures.
- Familiarity with containerization (Docker, K8s) and workflow operators.
- Strong experience implementing test automation for data pipelines (unit, contract, integration tests).
- Applying GenAI for metadata extraction, data anomaly detection, automated documentation, or pipeline optimization.
- Exposure to financial risk, treasury functions, or Collateral Management processes.
28 Jun 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.
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.
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.
Skills Required
- 4+ years of Software Engineering experience
- Hands-on experience with Python, SQL, and bash scripting
- Strong experience building big data pipelines using Apache Spark, Hive, Hadoop
- Experience with orchestration tools (Autosys or Airflow)
- Working knowledge of REST APIs, object storage, and Dremio
- Experience with CI/CD pipelines and automation
- Experience architecting distributed systems patterns (shuffle optimization, spill, broadcast, storage layouts)
- Experience with Spark Structured Streaming or Apache Flink
- Experience implementing optimization techniques (clustering, Z-ordering, vectorized IO Parquet/ORC, compaction)
- Experience implementing Medallion (Bronze/Silver/Gold) architectures and governed ingestion zones
- Knowledge of data governance platforms (Collibra, Alation, Purview)
- Understanding of financial data controls, validation rules, reconciliation checks, and compliance (SOX/PCI)
- Familiarity with containerization (Docker, Kubernetes) and workflow operators
- Experience implementing test automation for data pipelines (unit, contract, integration tests)
- Design, build, deploy and maintain large-scale structured and unstructured data pipelines and metadata-driven ingestion frameworks
- Experience with open table formats (Iceberg, Delta, Hudi)
- Implement automated data quality frameworks (Great Expectations, Deequ, or custom validators)
- Build RESTful and metadata APIs using Python frameworks (FastAPI/Flask)
- Cloud experience designing/deploying data pipelines in AWS, Azure, or GCP
- Experience with Jenkins, GitHub Actions, Azure DevOps, Terraform, or Helm
- Exposure to financial risk, treasury functions, or Collateral Management processes
- Experience building data health monitoring, SLA/SLOs, anomaly detection, and lineage capture
Wells Fargo Compensation & Benefits Highlights
How does Wells Fargo ensure its pay and bonus plans are competitive?
Wells Fargo ensures its pay and bonus plans remain competitive through a structured, performance-driven compensation philosophy combined with regular market benchmarking. The company’s approach is centered on “pay for performance,” meaning compensation is directly linked to individual contributions, business results, and overall company performance. This includes evaluating how employees meet regulatory expectations, manage risk responsibly, and contribute to long-term value creation.
To maintain market competitiveness, Wells Fargo conducts global compensation reviews using third-party consultants. These reviews assess both base salary and total compensation across the organization, factoring in role, level, tenure, and geographic differences. The company also evaluates pay equity and has reported no significant unexplained pay gaps following its most recent review. This process ensures that compensation remains aligned with industry standards while reinforcing fairness and transparency.
Bonuses and incentives are designed to reward strong performance and support retention of top talent. Compensation programs are structured not only to motivate employees but also to promote prudent risk management and discourage excessive risk-taking—an important consideration in financial services. In addition to performance-based pay, employees benefit from a comprehensive rewards package that includes a 401(k) match (up to 6%), stock purchase opportunities, and other financial wellness resources.
Together, these practices create a compensation framework that balances competitiveness, fairness, and long-term sustainability—helping Wells Fargo attract, retain, and reward talent across its global workforce.
Employee Perspective
“Wells Fargo has given me the opportunity to pursue my master’s degree. With the tuition reimbursement and the support of my managers, I’ve been able to gain some really valuable skills.”
— Destinee Richey, Business Intelligence Consultant
At-a-Glance
- Compensation philosophy: Pay for performance tied to individual, business, and company outcomes
- Market alignment: Global benchmarking with third-party consultants; no significant unexplained pay gaps
- Bonus structure: Performance-based incentives aligned with results and risk management
- Total rewards: 401(k) match up to 6%, stock purchase plan, financial wellness resources
External Signals
- Comprehensive Benefits: Employees give the company high marks for its benefits package, giving it an ‘A-’ rating and a 73% satisfaction score on external review sites (Comparably).
- LinkedIn Top Companies 2025: #3 overall, #1 in financial services
- Disability Equality Index: 100% score (multiple years)
- CAREERS & the disABLED Top Employers 2024: #3 ranking
- Military Friendly Employer (2025): Top 10 Gold Seal
Wells Fargo Insights
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.1 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it – Wells Fargo once again ranked in the top three – making us the #1 financial services employer – on the 2025 LinkedIn Top Companies list of best workplaces “to grow your career” in the U.S. 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. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
Why Work With Us
We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. We ranked in the top 3 on the 2025 LinkedIn Top Companies list – and #1 among financial services companies – as the best workplace “to grow your career” in the U.S.
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