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Wells Fargo: Tech-powered. Innovation-led. We're transforming financial services.
The Role
Designs and operates scalable GCP data pipelines, reusable engineering frameworks, feature stores, orchestration workflows, and governed data models supporting AI and machine learning. Builds Python, SQL, and Beam transformation libraries; ensures workload cost, performance, reliability, quality, lineage, and observability; and partners with data scientists migrating models to GCP. The role also documents best practices, provides enablement, and supports production systems during off-hours.
Summary Generated by Built In
About this role: Senior Data Engineer
The Data, Analytics and Reporting Technology team is responsible for a cross-cutting set of capabilities within the Global Operations at Wells Fargo. The AI/ML Data Architecture, Engineering and Enablement team is seeking a Senior Data Engineer to help create effective solutions for our data scientists ranging from experimentation to monitoring. In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, contributing to the design, build, and operation of reusable data capabilities that power machine learning and AI at enterprise scale. The ideal candidate is passionate about standardized frameworks, self-service by subject matter experts, and governance-by-design, enabling secure, reliable, and compliant data solutions that facilitate the generation of new intelligence and operating efficiencies.
In this role, you will:
333 Market St, San Francisco, California 94105
1525 W W T Harris Blvd., CHARLOTTE, North Carolina 28262
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.
$100,000.00 - $196,000.00
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.
24 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.
#BI-Hybrid
The Data, Analytics and Reporting Technology team is responsible for a cross-cutting set of capabilities within the Global Operations at Wells Fargo. The AI/ML Data Architecture, Engineering and Enablement team is seeking a Senior Data Engineer to help create effective solutions for our data scientists ranging from experimentation to monitoring. In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, contributing to the design, build, and operation of reusable data capabilities that power machine learning and AI at enterprise scale. The ideal candidate is passionate about standardized frameworks, self-service by subject matter experts, and governance-by-design, enabling secure, reliable, and compliant data solutions that facilitate the generation of new intelligence and operating efficiencies.
In this role, you will:
- Develop scalable, secure data pipelines from on-premise systems of record to Google Cloud Platform services (BigQuery, BigTable, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer).
- Leverage and extend capability roadmaps for reusable frameworks and tooling (ingestion, transformation, quality, orchestration) actively being developed by the larger organization.
- Enable self-service data consumption and governance by standardizing patterns, templates, and sandbox capabilities rather than one-off pipelines.
- Support use cases for training, validation and monitoring leveraging BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, and Cloud Storage.
- Create standardized feature transformation pipelines and a common feature store with strong lineage, dictionary and high availability for models.
- Ensure appropriate cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies).
- Develop transformation libraries in Python/SQL/Beam (e.g., common SCD patterns, data quality checks, masking/tokenization routines).
- Provide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration.
- Implement robust data modeling (dimensional, data vault, or canonical models) and semantic layer implementations with BigQuery or similar tools.
- Enforce data quality, lineage, and observability using standardized metrics, validation rules, and monitoring dashboards.
- Partner with data scientists and domain solution teams to migrate existing models onto GCP capabilities.
- Document patterns, runbooks, and best practices, and provide enablement through workshops and code examples.
- 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 4+ years of experience creating analytics or data science solutions in Public Cloud (GCP, AWS, Azure)
- 4+ years of hands on experience of Python and/or Go for building data pipelines, libraries, and automation tooling
- 4+ years with GCP or equivalent open source orchestration tools (Composer/Airflow/Dataflow/Beam) and CI/CD (Git, Liquibase, ) for data workloads
- 2+ years of hands-on experience building and implementing predictive AI models using machine learning algorithms (e.g., regression, classification, forecasting).
- Experience with logging/monitoring stacks (Cloud Logging, Cloud Monitoring, error reporting, metrics dashboards
- Experience with automated testing, data quality checks, monitoring for pipelines, and model governance such as drift, bias and anomaly detection
- Experience with model development and operations technologies such as Vertex, Bedrock, Sagemaker, Jupyter, Hugging Face, TensorFlow, XGBoost, Anaconda, MLFlow, PyTorch, Scikit-learn
- Experience with modelling techniques such as clustering, classification, logistic regression, natural language processing, neural networks, ensembling, computer vision, time-series analysis
- Experience with data optimization and availability in generative AI solutions such as RAGs, knowledge graphs, MCPs, vectors, prompt validation and tuning environments
- Flexible to provide both application development and production support during off-hours
- This role is not eligible for Visa Sponsorship
- Hybrid schedule (3 days in office, 2 days remote)
- Work Transparently: You always deal in an honest, direct, and transparent way
- Take Ownership: You welcome accountability and find joy in providing answers
- Learn More: You regularly self-educate and improve your skill set
- Embrace Change: You are motivated to continuously adapt and remain flexible as technology evolves
333 Market St, San Francisco, California 94105
1525 W W T Harris Blvd., CHARLOTTE, North Carolina 28262
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.
$100,000.00 - $196,000.00
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
24 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.
#BI-Hybrid
Skills Required
- 4+ years of Data Engineering experience, or equivalent experience, training, military experience, or education
- 4+ years of experience creating analytics or data science solutions in a public cloud environment such as GCP, AWS, or Azure
- 4+ years of hands-on experience with Python and/or Go for building data pipelines, libraries, and automation tooling
- 4+ years of experience with GCP or equivalent open-source orchestration tools, including Composer, Airflow, Dataflow, or Beam, and CI/CD tools such as Git and Liquibase
- 2+ years of hands-on experience building and implementing predictive AI models using machine learning algorithms such as regression, classification, or forecasting
- Experience with logging and monitoring stacks, including Cloud Logging, Cloud Monitoring, error reporting, and metrics dashboards
- Experience with automated testing, data quality checks, pipeline monitoring, and model governance, including drift, bias, and anomaly detection
- Experience with model development and operations technologies such as Vertex, Bedrock, SageMaker, Jupyter, Hugging Face, TensorFlow, XGBoost, Anaconda, MLflow, PyTorch, or Scikit-learn
- Experience with modeling techniques such as clustering, classification, logistic regression, natural language processing, neural networks, ensembling, computer vision, or time-series analysis
- Experience optimizing data availability for generative AI solutions, including RAGs, knowledge graphs, MCPs, vectors, prompt validation, and tuning environments
- Flexibility to provide application development and production support during off-hours
Wells Fargo Compensation & Benefits Highlights
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Retirement Support — Retirement support is anchored by a dollar‑for‑dollar 401(k) match on employee contributions after one year of service, with an additional non‑matching company contribution for some lower‑paid employees. Access to an employee stock purchase plan further expands long‑term savings opportunities.
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Parental & Family Support — Family supports include up to 16 weeks of paid parental leave available from the first day of employment, plus paid critical‑caregiving leave and extensive backup care options. Fertility, adoption, and surrogacy programs are highlighted with meaningful coverage and reimbursements, including a combined lifetime maximum up to $35,000 for eligible expenses.
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Healthcare Strength — Health coverage is comprehensive from day one, spanning medical, dental, vision, mental health, prescriptions, and preventive care often fully covered in‑network. Employer cost‑sharing is emphasized alongside no‑cost counseling through the EAP within plan limits.
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The Company
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 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 continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” 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. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”
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Wells Fargo Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
