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Big Data Engineer - Applications Systems Engineer 5

at Wells Fargo

Posted: 3/19/2020
Job Reference #: 15168888
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Job Description

Job Description

Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume when submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message. In order to receive text message invitations, your profile must include a mobile phone number designated as "Personal Cell" or "Cellular" in the contact information of your application.

At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you’ll feel valued and inspired to contribute your unique skills and experience.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

Wells Fargo Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure footprint; provides information security; and enables continuous banking access through in-store, online, ATM, and other channels to Wells Fargo’s more than 70 million global customers.

The AI Technology team is looking for a Big Data Engineer to help in building a unified solution to automate Machine Learning (ML) and Natural Language Processing (NLP) projects. The system will encompass not just the model learning itself, but many practical challenges in ML systems: feature extraction/feature definition, data validation, monitoring, and management of features/models. Comparable systems include Facebook's FBLearner Flow, Google's TFX, and Uber's Michelangelo. Your architectural knowledge and experience will help us improve the reliability and efficiency of our platform as it grows. You will partner closely with product, design, data science, and our scientific teams to build web based tools to support data science life cycle.

In this role you will be responsible for:

  • Designing and building new Big Data systems for turning data into actionable insights
  • Training and mentoring junior team members on Big Data/Hadoop tools and technologies
  • Identifying opportunities for improvement and presenting recommendations to management
  • Developing solutions and iterating quickly to continuously improve
  • Seeking out and evaluating emerging big data technologies and open-source packages


Required Qualifications

  • 7+ years of application development and implementation experience
  • 7+ years of experience with Waterfall and Agile project methodologies
  • 7+ years of experience analyzing requirements and designing new solutions for application and database components
  • 5+ years of experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and Map



Desired Qualifications

  • Good verbal, written, and interpersonal communication skills
  • Tableau experience
  • 1 + years of machine learning experience



Street Address

CA-Concord: 1755 Grant Street - Concord, CA
CA-SF-Financial District: 333 Market St - San Francisco, CA
AZ-Chandler: 2600 S Price Rd - Chandler, AZ



Disclaimer


All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.

Relevant military experience is considered for veterans and transitioning service men and women.
Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.

Application Instructions

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!