Jobs in the United States

25+ jobs

Save this search

Added 4 mins ago
Account Engineer
Snowflake
Menlo Park, CA · Seattle, WA
The Account Engineer is a high-impact, cross-functional role designed to accelerate the customer journey from initial acquisition to successful platform adoption and expansion on the…
Added 9 mins ago
S
AI Engineer (Superhuman Mail) - Latin America
Superhuman
San Francisco, CA
- $128,000 to $210,000 CAD / year
- Technologies we use: Go, Postgres, Redis, Kubernetes, AWS, TurboPuffer
Added 9 mins ago
S
AI Engineer (Superhuman Mail) - Canada
Superhuman
San Francisco, CA
- $128,000 to $210,000 CAD / year
- Technologies we use: Go, Postgres, Redis, Kubernetes, AWS, TurboPuffer
Added 9 mins ago
S
AI Engineer (Superhuman Mail) - US
Superhuman
Remote, United States
- $154,000 to $257,000 USD / year
- Technologies we use: Go, Postgres, Redis, Kubernetes, AWS, TurboPuffer
Added 10 mins ago
Applied Machine Learning Engineer
The Aerospace Corporation
Chantilly, VA · El Segundo, CA · Colorado Springs, CO
We are seeking a creative and enthusiastic Machine Learning Engineer to join a team of engineers, data scientists, and programmers with a passion for researching, prototyping,…
Added 10 mins ago
M
Senior Data Engineer
Mux
Remote, United States
- $190,000 to $220,000 USD / year
As a Senior Data Engineer on the Analytics team, you'll own the Mux data stack end to end, from ingestion through Snowflake and dbt to the semantic layer the agents query. The team is…
Added 20 mins ago
Full Stack Engineer 4 (Go & Angular) (Cloud Operations Resilience Engineering)
Capital One
Plano, TX
Utilize programming languages like Go, Typescript, Python, Scala, Node.js, JavaScript and Java, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 20 mins ago
Full-Stack Engineer 4 (Java, JavaScript, SQL, Docker)
Capital One
Plano, TX
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 20 mins ago
Senior Manager, Full-stack Engineer
Capital One
Plano, TX
Lead teams utilizing programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services…
Added 20 mins ago
Full-stack Engineer 5 (Senior Manager, IC) Cloud Operations Resilience Engineering)
Capital One
McLean, VA
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 20 mins ago
AI Engineer 4 (AI Foundations)
Capital One
NY · McLean, VA · San Jose, CA
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
Added 24 mins ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 26 mins ago
Senior Applications Engineer
Varda Space Industries
El Segundo, CA
Varda is seeking a Senior Applications Engineer to join our team. In this role you will be responsible for leading efforts to develop, deploy, improve, and manage all Engineering…
Added 33 mins ago
SC
Senior Staff Software Engineer
SewerAI Corporation
Remote, United States
- $160,000 to $180,000 USD / year
We're seeking an experienced Senior Full-Stack Software Engineer to join our SewerAI team working on an innovative automated sewer inspection analysis and management platform. You'll work…
Added 36 mins ago
JH
Full Stack Software Engineer - Advanced Visualizations
Johns Hopkins Applied Physics Laboratory
Laurel, MD
- $100,000 USD / year
The Analytic Capabilities group of the Asymmetric Operations Sector is seeking a Full Stack Software Engineer to develop advanced visualizations that transform complex data into actionable…
Added 36 mins ago
AI Evaluation Engineer
Sedgwick Claims Management Services Inc.
Telecommuter, FL
PRIMARY PURPOSE: The AI Evaluation Engineer designs, builds, and operates the evaluation systems that determine whether our GenAI solutions are accurate, safe, reliable, and ready for…
Added 41 mins ago
Staff Offensive Security Engineer
INSPYR Solutions
Beverly Hills, CA
Staff Offensive Security Engineer - Direct-Hire/FTE - Remote (US)
Added 42 mins ago
WD
Principal Data Engineer
Walt Disney Attractions Technology LLC
Orlando, FL
- $159,800 to $214,200 USD / year
Deep technical expertise in data, platforms, APIs, and tools - including AWS, Snowflake, dbt, SQL & SQL optimization, data modeling, Python, RESTful APIs, near real-time stream processing,…
Added 43 mins ago
AI Solutions Engineer
UWMSN University of Wisconsin Madison
Remote, United States
…Information Technology is seeking a highly skilled AI Solutions Engineer to design, build, operate, and continuously improve the cloud and hybrid platforms that support AI-enabled services.…
Added 50 mins ago
Sr Cyber Engineer
HealthEquity
United States
Engineer and operate HealthEquity's Cloudflare environment: WAF, API Shield, Bot Management, DDoS protection, rate limiting, DNS, and TLS, plus Cloudflare One services (Access, Gateway,…
Added 52 mins ago
TT
Founding Full-Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $240,000 USD / year
- Strong full-stack skills with technologies such as TypeScript, Python, React, React Native, Node.js, AWS, GCP, Supabase, PostgreSQL, Redis, Docker, and REST APIs.
Added 52 mins ago
TT
Senior Forward Deployed Engineer, Operate
True Talent Solutions Partners
New York, NY
- $170,000 to $205,000 USD / year
- Fluency in JavaScript, Node.js, TypeScript, Python, Next.js, and React, with experience in cloud infrastructure such as AWS or GCP.
Added 52 mins ago
A
Software Engineer II
Aspirion
Columbus, GA
- $100,000 to $138,000 USD / year
We are seeking a Software Development Engineer (SDE II) to play a key role in designing, developing, and delivering high-quality software solutions to drive innovation and operational…
Added 1 hour ago
L
Data Engineer Client Data Operations
Limetree
Remote, United States
- $115,000 to $145,000 USD / year
We are hiring a hands-on Data Engineer to own how new client data gets into our systems and keep the pipelines behind our direct mail, digital marketing, and reporting work reliable. You…
Added 1 hour ago
TB
Data & Platform Engineer
Truist Bank
Richmond, VA · Atlanta, GA · Charlotte, NC
- $105,040 to $130,030 USD / year
The engineer combines strong expertise in SQL Server, Oracle, database performance tuning, data modeling, ETL/ELT development, API integration, and AWS data services to build and support…

Wells Fargo

Principal Engineer - Data Engineering

IRVING, TX, United States

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Sep 29, 2026

Original job description

About this role:

Wells Fargo's Shared Service Operations Technology (SSOT) organization is seeking a Principal Engineer - Data Engineering to drive the architecture, engineering strategy, and modernization of enterprise-scale data platforms and data products. This leader will play a critical role in building secure, scalable, cloud-native data solutions that enable operational intelligence, regulatory reporting, advanced analytics, and data-driven decision making across the enterprise.

The ideal candidate brings deep expertise in large-scale data engineering, distributed processing, data lakehouse architectures, and real-time and batch data platforms. In this role, you will provide technical leadership across multiple engineering teams, establish enterprise data engineering standards, and drive the adoption of modern data architectures, governance practices, and metadata-driven solutions. You will partner closely with business and technology stakeholders to deliver resilient, high-performing data capabilities that support Wells Fargo's strategic objectives.

In This Role, You Will

Define and drive the enterprise data engineering strategy, architecture standards, and technology roadmap.
Lead the design and implementation of scalable cloud-native data platforms, data lakes, data warehouses, and lakehouse architectures.
Architect enterprise-grade data ingestion, transformation, conformance, and data product delivery pipelines.
Establish engineering standards, design patterns, and best practices for batch, real-time, and event-driven data processing.
Drive modernization initiatives involving cloud migration, platform consolidation, and legacy data platform transformation.
Design highly scalable data solutions leveraging distributed processing frameworks such as Spark and cloud-native analytics services.
Lead technical architecture reviews and provide engineering governance across critical data initiatives.
Establish enterprise data modeling standards for operational, analytical, dimensional, and domain-oriented architectures.
Define and implement metadata-driven and configuration-driven engineering frameworks.
Design resilient data platforms that meet enterprise requirements for scalability, performance, high availability, and disaster recovery.
Partner with Enterprise Architects, Product Owners, Platform Engineering teams, and Business Leaders to align technology investments with business objectives.
Drive implementation of data governance, lineage, metadata management, and data quality frameworks.
Lead adoption of DataOps, DevOps, CI/CD, Infrastructure-as-Code, and engineering automation practices.
Define observability, monitoring, alerting, and operational excellence standards for enterprise data platforms.
Design solutions supporting regulatory reporting, auditability, security, privacy, and compliance requirements.
Evaluate emerging technologies, architectural patterns, and industry best practices to drive innovation.
Establish reusable engineering frameworks and accelerators to improve productivity and reduce delivery risk.
Provide technical leadership for complex enterprise programs involving multiple delivery teams and business stakeholders.
Mentor senior engineers, technical leads, and solution architects while promoting engineering excellence and continuous learning.
Collaborate with production support and reliability engineering teams to drive root cause analysis and platform stability improvements.

Required Qualifications

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of experience designing and implementing Data Lakes, Data Warehouses, Lakehouse Architectures, and Enterprise Data Platforms .
5+ years of expertise in distributed data processing technologies including Apache Spark , Dataproc, Hadoop ecosystems, or similar platforms.
5+ years of experience building cloud-native data solutions using Google Cloud Platform (GCP), AWS, Azure, or equivalent cloud platforms .
5+ years of programming experience using Python, Java, SQL, or similar engineering languages.
5+ years of expertise in ETL/ELT architecture, data integration patterns, and enterprise data movement strategies.
5+ years of knowledge in security, encryption, access controls, and enterprise risk management requirements.

Desired Qualifications

Experience building cloud-native data platforms on Google Cloud Platform (GCP) .
Strong knowledge of BigQuery, BigLake, Apache Iceberg, Lakehouse architectures, Dataproc, Cloud Storage, Cloud Composer, DataPlex Knowledge Catalog, Lakehouse Runtime Catalog and Pub/Sub .
Experience leading cross-functional engineering teams and large-scale technology transformation programs.
Excellent architecture documentation, communication, and stakeholder management skills.
Experience implementing CI/CD and DataOps practices for large-scale data engineering environments.
Experience implementing Medallion Architecture , Data Mesh, or Domain-Oriented Data Architecture principles.
Experience designing enterprise-scale real-time streaming solutions using Kafka, Pub/Sub, Flink, Spark Streaming, or equivalent technologies.
Financial Services, Regulatory Reporting, Financial Crimes, AML, Fraud, KYC, Risk Management, or Compliance domain experience.
Experience designing highly available, fault-tolerant, and scalable data platforms.
Experience implementing enterprise metadata and data catalog solutions.
Demonstrated ability to influence executive stakeholders and drive enterprise-wide technical initiatives.
Expertise in data platform observability, monitoring, SRE, and operational excellence practices.
Experience with containerized workloads, Kubernetes, and cloud-native orchestration platforms.
Experience with Infrastructure as Code using Terraform or similar automation frameworks.
Knowledge of modern data sharing, data product, and self-service analytics architectures.
Experience supporting audit, regulatory, and data governance programs.
Strong experience leading globally distributed engineering teams across onshore and offshore delivery models.
Experience evaluating and adopting emerging technologies including AI/ML-enabled data engineering and intelligent automation solutions.
Advanced understanding of enterprise architecture frameworks and technology governance practices.

Job Expectations:

This position is not eligible for Visa sponsorship
This position offers a hybrid work schedule
Must be able to work on-site at any of the listed locations

Job Posting Locations:

401 Las Colinas Blvd W Bldg A, Irving, Texas 75039

Posting End Date:

2 Nov 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 (https://www.wellsfargojobs.com/en/diversity/disability-inclusion/) .

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy (https://www.wellsfargojobs.com/en/wells-fargo-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.

Req Number: R-573771

Apply About employer

More about this job

Skills

Data engineering
Reporting
Decision making
Leadership
Architecture regulations
Process data
Apache Spark
Data modelling
Implement ICT recovery system
CI/CD
Infrastructure as code
Root cause analysis
Apache Hadoop
Google Cloud
AWS
Microsoft Azure
Python
Oracle Java
SQL
Risk management
BigQuery
Documentation
Communication skills
Stakeholder management
Apache Kafka
Anti-money laundering
Know your customer
Regulatory compliance
Kubernetes
IBM Terraform
ML
Recruitment

Report this job