
at Wells Fargo Corporate & Investment Banking
Investment BankingPosted 7 days ago
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**Senior Data Engineer** Lead design, build, and operation of cloud-native data ecosystems, powering analytics and AI at enterprise scale. Focus on Google Cloud Platform (GCP) services and frameworks. Minimum 4+ years in Data Engineering and GCP data management. Key responsibilities include scaling secure, reliable, and compliant data solutions, building reusable frameworks, and enabling self-service data consumption. Proven expertise in GCP data services, Agarile transformations, and team collaboration. Base pay range: $100,000 - $196,000. Hybrid work schedule (3 days in office, 2 days remote).
- Compensation
- $100,000 – $196,000 USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
Full Job Description
About this role:
Within COO Technology, Wells Fargo is seeking a Senior Data Engineer to help shape and scale our cloudnative data ecosystem. In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the design, build, and operation of reusable data capabilities that power analytics and AI at enterprise scale. The ideal candidate is passionate about standardized frameworks, selfservice data platforms, and governancebydesign, enabling secure, reliable, and compliant data solutions across Google Cloud services.
The COO Technology group powers the firms most critical operations by modernizing and optimizing enterprise technology platforms that enable resiliency, regulatory excellence, data services, customer experience, and strategic execution across the Chief Operating Office.
In this role, you will:
- Design and implement scalable, secure data platforms on Google Cloud using managed services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer).)
- Build reusable frameworks and tooling (ingestion, transformation, quality, orchestration) that can be adopted by multiple product and domain teams.
- Enable selfservice data consumption and governance by standardizing patterns, templates, and platform capabilities rather than oneoff pipelines.
- Design logical and physical data platform architectures leveraging BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, and Cloud Storage.
- Define and implement standardized ingestion, transformation, and serving patterns (batch and streaming) as reusable blueprints.
- Optimize cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies).
- Build opinionated data ingestion frameworks (e.g., configdriven pipelines, connectors, schema handling, error handling) on top of Dataflow, Dataproc, or Composer.
- Develop shared 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 layers in BigQuery and related tools.
- Enforce data quality, lineage, and observability using standardized metrics, validation rules, and monitoring dashboards.
- Apply security and governance controls: IAM, VPCSC, CMEK, row/columnlevel security, and policydriven access patterns
- Partner with domain data engineers, analytics, and ML teams to onboard use cases onto platform services and frameworks
- Document patterns, runbooks, and best practices, and provide enablement through workshops and code examples.
- Contribute to platform roadmap, tool selection, and evaluation of new GCP services and opensource components
Required Qualifications:
- 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 data management experience within Public Cloud (GCP, AWS, Azure)
- 4+ years of hands on experience of Python or Java, plus Spark SQL for building data pipelines, libraries, and automation tooling.
- 4+ years with orchestration tools (Cloud Composer/Airflow) and CI/CD (Cloud Build, Gitbased workflows) for data workloads
Desired Qualifications:
- Experience with logging/monitoring stacks (Cloud Logging, Cloud Monitoring, error reporting, metrics dashboards
- Experience with automated testing, data quality checks, and monitoring for pipelines and platform services.
- Knowledge of cloud architecture principles (networking, security, IAM, reliability, cost management).
- Experience with core GCP data services: BigQuery, Dataflow/Apache Beam, Dataproc, Pub/Sub.
- Experience with Agile transformations and technology roadmaps.
- Experience working with onshore and offshore teams.
Job Expectations:
- 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 embrace responsibility and find joy in having the answers
- Learn More: You regularly self-educate and improve your skill set
Job Posting Locations:
194 S Wood Ave, Iselin, New Jersey 08830
300 S Brevard St., CHARLOTTE, North Carolina 28202
401 Las Colinas Blvd W Bldg A, Irving, Texas 75039
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 - $196,000.00Benefits
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 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:
17 May 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 units 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.




