Wells Fargo

Senior Data Engineer

Wells Fargo$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of Data Engineering experience in relevant fields.
  • 3+ years of PL/SQL and SQL expertise with Oracle and Teradata.
  • 2+ years programming in Python and hands-on experience with PySpark.
  • Experience in ETL design and data warehousing concepts.
  • Proficiency in developing complex queries and performance tuning.

Responsibilities

  • Build and maintain batch and near real-time data pipelines with Python and SQL.
  • Optimize BigQuery data models and transformations for performance.
  • Support migration from Teradata and Ab Initio to Google Cloud.
  • Drive orchestration using Google Cloud Composer and manage dependencies.
  • Implement data governance practices and ensure data quality with Informatica.
  • Monitor data pipeline operations and perform incident analysis.
  • Collaborate with stakeholders to define and document data requirements.

Benefits

  • Opportunities for career growth and professional development.
  • Access to cutting-edge tools and technologies in data engineering.
  • Work in a dynamic hybrid environment, balancing on-prem and cloud.
  • Collaborative work culture with cross-functional teams.
  • Focus on operational excellence and continuous improvement practices.
Full Job Description
About this role:

Join Wells Fargo's Home Lending Data and Insights team as a Senior Data Engineer, where you'll build, run, and modernize enterprise data pipelines in a hybrid landscape-spanning on-prem platforms (Python, Oracle, Teradata and Ab Initio) and a modern Google Cloud stack (BigQuery, Dataplex). You'll focus on dependable batch and near real-time processing, operational excellence, and the transition from legacy scheduling and ETL patterns to cloud-native orchestration with Google Cloud Composer, backed by strong data quality standards using Informatica Data Quality

In this role, you will:
  • Build and maintain scalable batch and near real-time data pipelines using Python, PySpark, PL / SQL and SQL to ingest, transform, and publish curated datasets across on-prem and Google Cloud platforms.
  • Develop and optimize BigQuery transformations and data models, including partitioning, clustering, query optimization, and cost/performance tuning.
  • Support modernization/migration from Teradata and Ab Initio workflows to GCP/BigQuery, including logic re-platforming, reconciliation, parallel runs, and controlled cutovers.
  • Implement orchestration and scheduling for pipelines using legacy Autosys while driving migration toward Google Cloud Composer (Airflow), including dependency management, retries, SLAs, and backfills.
  • Apply data governance and discovery practices using Dataplex: metadata management, dataset organization, classification support, and ensuring data is consumption-ready.
  • Build and operationalize data quality controls using Informatica Data Quality: profiling, rule implementation, thresholds, exception handling, and embedding quality gates into pipelines.
  • Ensure operational excellence: monitoring, alerting, runbooks, incident triage/root cause analysis, and continuous improvements to reliability and performance.
  • Implement secure data engineering practices: least-privilege access, PII handling/masking where required, retention controls, and audit-friendly documentation.
  • Partner with product, analytics, and engineering stakeholders to translate requirements into clear data contracts, curated datasets, and maintainable documentation (data dictionaries, reconciliation notes, operational runbooks).
  • Must-have: Use AI-assisted coding tools (e.g., GitHub Copilot, Devin, or similar) to accelerate development while maintaining strong code review discipline, testing, and secure coding standards.
  • Closely partner with Product Owners, Architects and Engineers on definition, design, development, integration, testing and support of reliable and reusable Data pipelines.
  • Analyze highly complex business requirements; generate technical specifications to design ETL processes.
  • Act as an expert technical resource for analysis and provides critical direction to less experienced staff. Work with team members to provide insight into solving complex problems with middleware while leveraging enterprise and industry best practices (including scalability, availability, maintainability, and flexibility).


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
  • 3+ years PL/SQL and SQL skills with proven experience in Oracle, Teradata, Python and/or BigQuery: complex query development, tuning, and debugging
  • 2+ years programming skills in Python; hands-on PySpark for distributed data processing
  • 2+ years of ETL/ETL design, data warehousing concepts, and data modeling best practices


Desired Qualifications:
  • Production operations experience: monitoring, SLAs, incident response, root cause analysis, and performance optimization.
  • Experience working in hybrid environments (on-prem + cloud) and supporting data migration/modernization initiatives.
  • Experience with scheduling/orchestration in Autosys and Airflow-based orchestration (Cloud Composer direction).
  • Experience with Git-based workflows, code reviews, and automated testing practices for data pipelines.
  • Experience with Harness, Jenkins and uDeploy based CICD environments.
  • Practical experience using AI-assisted coding tools in daily development to improve productivity without compromising quality or security.
  • Ab Initio development/maintenance experience and/or hands-on migration of Ab Initio graphs to modern Spark/SQL patterns.
  • Experience with Dataplex and broader data governance concepts (metadata, classification, stewardship, lineage practices).
  • Experience with Informatica Data Quality implementation patterns (profiling, rules, scorecards/metrics, exception workflows).
  • Experience designing near real-time patterns (micro-batch/event-driven concepts) and handling late-arriving/out-of-order data.
  • Familiarity with GCP operational practices for data workloads (service accounts/IAM basics, job monitoring, quota/cost controls).


Locations:
  • 1525 W W.T. Harris Blvd., Charlotte, North Carolina


Posting End Date:

3 Jul 2026
*Job posting may come down early due to volume of applicants.

About Wells Fargo

Wells Fargo Careers

Joining Wells Fargo means becoming part of a distinguished financial institution that has been a cornerstone of innovation and leadership in the banking industry. At Wells Fargo, we offer a plethora of job opportunities designed to empower your career growth and development in a diverse and inclusive environment.

Work You’ll Do

At Wells Fargo, you will be part of a team that values diversity and is committed to fostering an inclusive culture. We are looking for professionals who are eager to drive innovation and lead with integrity. Our employees are our greatest asset, and we invest in their professional growth through comprehensive leadership and diversity training programs that are recognized industry-wide.

Explore a Multitude of Career Paths

Whether you're interested in a position in finance, IT, customer service, or management, Wells Fargo has career opportunities in various fields. Our team members benefit from job stability, competitive benefits, and a culture that values and rewards performance and dedication.

Internship Programs

Kickstart your career with a Wells Fargo internship. Our programs provide invaluable industry exposure, professional skills development, and networking opportunities that often lead to full-time employment offers. Interns at Wells Fargo work on real projects, solve actual challenges, and gain the mentorship of seasoned professionals.

Professional Growth and Development

We believe in nurturing the potential of our employees. Wells Fargo offers robust training programs and resources to help every team member excel in their current roles and prepare for future challenges. Growth at Wells Fargo is not just about climbing the career ladder but expanding your skills and expertise to add value to our team and customers.

Benefits and Rewards

Wells Fargo is committed to the well-being of our team members. We offer a comprehensive benefits package that includes health care, retirement plans, and generous paid time off. Additionally, we provide unique perks like employee discounts, adoption assistance, and tuition reimbursement.

Join Our Team

Discover the opportunities waiting for you at Wells Fargo by exploring open positions that match your skills and interests. We are continuously hiring and looking for individuals who bring creativity, passion, and a drive to serve our customers.

Stay Connected

Keep up to date with the latest from Wells Fargo Careers by subscribing to our job alert emails. Tailor your subscription to receive updates that align with your career preferences and get insider tips on crafting the perfect resume and acing your interview.

Networking and Innovation

At Wells Fargo, networking and innovation go hand in hand. We encourage our employees to connect across departments and roles to foster new ideas and strategies that lead to groundbreaking solutions.

Empower Your Career

Step into a role at Wells Fargo where your skills will be honed, your achievements recognized, and your career can flourish. We're not just filling positions; we're building leaders who are equipped to navigate the complexities of the financial world. Join Wells Fargo today and be part of a team that’s redefining the future of banking.
Learn more about Wells Fargo
Size
246,577 employees
Market Cap
$155.2 billion
Industry
Net Income
$3.3 billion
Founded
1852
5 Year Trend
-5.9%
NASDAQ

Similar Jobs

More Jobs at Wells Fargo

More Information Technology Jobs

Find similar Senior Data Engineer jobs: