Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
The Wells Fargo Consumer Lending Technology (CLT) Head of Data has been tasked with transforming and modernizing operational and analytic data across Consumer Lending. The mission for CLT Data is to implement best in class engineered technologies and best practices that are Agile-minded, commercially structured, compliance-oriented, and focused on the rapid delivery of high-quality, safe products and services which are consumable at scale across Consumer Lending lines of business.
The Lead Software Engineer – Data & Analytics role will report directly to the CLT Data Engineering Manager. The role will be responsible for providing technical leadership for the data engineering team, solution designing of medium to complex data products, hands-on development of reusable frameworks, perform design and code reviews, driving and accelerating Data and Analytics Strategy & Roadmap across Consumer Lending.
Key responsibilities include:
This role will also work closely with the rest of the CLT Data & Analytics Engineering & Architecture team as well as Wells Fargo CTO, Enterprise Data teams.
Other responsibilities/experience needed for this role include:
Required Qualifications, US:
Wells Fargo & Company is an American multinational financial services company with corporate headquarters in San Francisco, California, operational headquarters in Manhattan, and managerial offices throughout the United States and internationally. The company has operations in 35 countries with over 70 million customers globally. It is considered a systemically important financial institution by the Financial Stability Board.
Bengaluru, Karnataka, India
2-4 year
Addison, TX, USA
2-4 year
Charlotte, NC, USA
2-4 year
Charlotte, NC, USA
2-4 year
Charlotte, NC, USA
4-6 year
Clive, IA, USA
2-4 year
Fort Mill, SC, USA
2-4 year
Minneapolis, MN, USA
2-4 year
Minneapolis, MN, USA
2-4 year
Tempe, AZ, USA
2-4 year
Wilmington, NC, USA
2-4 year
Charlotte, NC, USA
2-4 year
Chandler, AZ, USA
2-4 year
Shoreview, MN, USA
2-4 year
West Des Moines, IA, USA
2-4 year
Westlake, TX, USA
2-4 year
Clive, IA, USA
2-4 year
Fort Mill, SC, USA
2-4 year
Minneapolis, MN, USA
2-4 year
Minneapolis, MN, USA
2-4 year
Tempe, AZ, USA
2-4 year
Addison, TX, USA
2-4 year
Addison, TX, USA
2-4 year
Charlotte, NC, USA
2-4 year
Charlotte, NC, USA
2-4 year
Fort Mill, SC, USA
2-4 year
Minneapolis, MN, USA
2-4 year
Minneapolis, MN, USA
2-4 year
Minneapolis, MN, USA
2-4 year
Minneapolis, MN, USA
2-4 year
Philadelphia, PA, USA
2-4 year
Saint Louis, MO, USA
2-4 year
Salt Lake City, UT, USA
2-4 year
San Antonio, TX, USA
2-4 year
San Leandro, CA, USA
2-4 year
Tempe, AZ, USA
2-4 year
Tempe, AZ, USA
2-4 year
West Des Moines, IA, USA
2-4 year
West Des Moines, IA, USA
2-4 year
West Des Moines, IA, USA
2-4 year
West Des Moines, IA, USA
2-4 year
Winston-Salem, NC, USA
2-4 year
San Antonio, TX, USA
2-4 year
Springfield, NJ, USA
2-4 year
Springfield, NJ, USA
2-4 year
West Des Moines, IA, USA
4-6 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
Hyderabad, Telangana, India
4-6 year
Bengaluru, Karnataka, India
4-6 year
Charlotte, NC, USA
0-2 year
Winston-Salem, NC, USA
4-6 year
Charlotte, NC, USA
0-2 year
San Francisco, CA, USA
6-8 year
Dallas, TX, USA
6-8 year
Des Moines, IA, USA
6-8 year
Wilmington, NC, USA
6-8 year
Charlotte, NC, USA
6-8 year
Charlotte, NC, USA
0-2 year
Phoenix, AZ, USA
0-2 year
San Francisco, CA, USA
0-2 year
Saint Louis, MO, USA
0-2 year
Dallas, TX, USA
0-2 year
San Francisco, CA, USA
0-2 year
West Des Moines, IA, USA
0-2 year
Charlotte, NC, USA
0-2 year
Phoenix, AZ, USA
0-2 year
San Francisco, CA, USA
0-2 year
New York, NY, USA
0-2 year
Saint Louis, MO, USA
0-2 year
Minneapolis, MN, USA
0-2 year
Charlotte, NC, USA
8-10 year
Chandler, AZ, USA
8-10 year
West Des Moines, IA, USA
8-10 year