Senior Data Engineer

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:

Wells Fargo is seeking a Senior Data Engineering to develop and implement data pipelines and analytical reporting technology efforts for WM Data Solutions. In this role, you will develop ETL (Extract, Transform, and Load) application supporting reporting and analytics. This Senior Data Engineer will develop and implement scalable data engineering solutions, ensuring alignment with the enterprise standards, strategic business and product objectives. This role requires a technical expertise. Through collaboration, all employees can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow. Learn more about the career areas and business divisions at wellsfargojobs.com.

In this role, you will:

• Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables

• Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting

• Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors

• Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis

• Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements

• Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals

• Develop systems monitoring to increase operational efficiency and managed to mitigate risk

• Developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies

• Refactoring and Reengineering legacy SQL Server and MS access-based dependencies

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 working in an Agile or Kanban development environment

• 3+ years of working with DevOps CI/CD tools (GitHub or Jenkins)

• 3+ years of experience with SQL Server database design and development

• 3+ years of experience with Python development

Desired Qualifications:

• 3+ Microservice, Restful API, and Containerization Design and Development

• 3+ Years of developing enterprise-scale data modeling and pipeline engineering

• 3+ Years of developing modern data pipeline design, development and orchestration

• 3+ Power BI or Tableau Reporting Development

Job Expectations:

• Ability to work onsite at one of the posted locations

• 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

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

Posting End Date:

*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.