Data Engineer - ETL

The Wealth Management Data Solutions (WMDS) organization provides direct technology support for core engineering products, operational data products and data analytics. It develops and drives engineering strategy, while enabling tech transformation by partnering closely with WIM product groups.  Not only does the team develop the engineering blue- print and core components, but it serves as the liaison to the Enterprise Architecture Group.  With 300+ staff members across the US and India, Data Solutions is on a mission to modernize its technology and build stronger, more agile scrum teams.  We are seeking world-class talent, like you, to help deliver innovative solutions and to drive that transformation.  If you’re passionate about tackling complex challenges and advancing technology, we invite you to join us in shaping the future of data-driven solutions.

About this role:

We are looking for a skilled Data Engineer specializing in ETL tools and data transformations to build and optimize scalable data pipelines for our data solutions technology organization. In this role, you will design, develop, and maintain ETL processes to ensure efficient data ingestion, transformation, and integration across various platforms. You will collaborate with data analysts, engineers, and business stakeholders to enhance data quality, performance, and accessibility. The ideal candidate has deep expertise in ETL frameworks, cloud data platforms, and automation, with a strong focus on optimizing data workflows for analytics and business intelligence. Learn more about the career areas and business divisions at wellsfargojobs.com

In this role, you will:

• Participate in data warehouses across multiple databases and identify opportunity for developing table schemas within the Technology and Date area
• Review and analyze basic data management business, operational, or technical assignments or challenges that require research, evaluation, and selection of alternatives and exercise independent judgment to guide medium risk deliverables
• Present recommendations for resolving more complex data management situations and exercise independent judgment while developing expertise in the business data policies, procedures and compliance requirements
• Collaborate and consult with technology colleagues, internal partners and stakeholders, including internal and external customers if applicable

Required Qualifications:

• 2+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 2+ years of experience with UNIX & PL-SQL scripting is required
• 2+ years experience in development of data pipelines/ETL for data ingestion, data preparation, data integration, data aggregation, feature engineering, etc.
• 1+ year experience with Informatica, Talend or Ab Initio
• 2+ years of experience in relational DBMS platforms, (DB2 or Oracle)
• 2+ years of experience in SQL and Data Analysis
• 1+ year of experience with Hadoop, Hive

Desired Qualifications:

• 1+ year of strong experience with Python
• 1+ year of experience with Kubernetes
• 1+ year of experience with Docker
• 1+ year of experience with Google Big Query
• 1+ year of experience with Autosys

Job Expectations:

• Ability to work additional hours as needed
• Position offers a hybrid work schedule
• This position is not eligible for Visa sponsorship
• Relocation assistance is not available for this position

Locations:​

• 300 S Brevard St., Charlotte, North Carolina 28202
• 2801 Market St., F & L Bldg., Saint Louis, Missouri 63103

Posting End Date: 

27 Feb 2025

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

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

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 th