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Application Engineer

Location Other, California, United States Requisition ID 2022-87037 Category Technology Position Type Regular
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Your Opportunity

This position on the TDA DOS Data team is responsible for operationalizing and maintaining Enterprise Data management tools, along with Data Science/Artificial Intelligence (AI) applications that support customer-facing applications and improve analytic capabilities. The central goal of this role is to identify operational improvements while maintaining uptime for our business users who operate these applications daily. The individual is expected to grow their technical skill set by learning and applying sound operational practices and understanding the business and architectural considerations needed to bring solutions into production.

TDA Data Operations and Synergies is an enterprise team within the Data and Rep Technology (DaRT) organization that works directly with Data Science, Enterprise Data Management, and Data Analysis teams. Our team collaborates directly with business, product, technology, and other analytical teams at Schwab to solve complex business problems.

What you are good at

  • Gathering information from the business on their needs and ensuring the software is deployed in a manner to meet those needs
  • Planning for OS teams to patch and maintain systems
  • Track applications performance and uptime
  • Work with Business teams and architects to design solutions for launching successful prototypes and mapping the path to move them into production.
  • Document technical designs and data engineering
  • Work in an agile and iterative manner to foster innovation.
  • Understanding the full stack
  • Finding solutions to problems that have yet to be discovered, being creative within your restraints.
  • Working directly with vendors to implement Security upgrades/patching and fulfill business needs for improvements.

What you have

  • Experienced programming capability in Unix/Linux shell scripting.  Other languages a plus including python.
  • Experience maintaining out of the box applications in an Enterprise environment. 
  • Knowledge of Data platform architecture, especially cloud solutions (e.g., Google Cloud Platform)
  • Excellent communication and collaboration skills to work across multiple groups within the organization
  • A desire to learn and implement new things.

Preferred Technical Qualifications:

  • Experience with frameworks such as Java, Java Core, and Spring.
  • Experience Administrating a Hadoop Cluster
  • Experience with distributed multi-tier applications, WMI, NoSQL databases, MongoDB and/or SQL is preferred
  • Experience with JupyterHub and Jupyter Notebook.

Why work for us?

Own Your Tomorrow embodies everything we do! We are committed to helping our employees ignite their potential and achieve their dreams. Our employees get to play a central role in reinventing a multi-trillion-dollar industry, creating a better, more modern way to build and manage wealth.

Benefits: A competitive and flexible package designed to empower you for today and tomorrow. We offer a competitive and flexible package designed to help you make the most of your life at work and at home—today and in the future. Explore further.

Schwab is committed to building a diverse and inclusive workplace where everyone feels valued. As an Equal Opportunity Employer, our policy is to provide equal employment opportunities to all employees and applicants without regard to any status that is protected by law. Please click here to see the policy.

Schwab is an affirmative action employer, focused on advancing women, racial and ethnic minorities, veterans, and individuals with disabilities in the workplace. If you have a disability and require reasonable accommodations in the application process, contact Human Resources at or call 800-275-1281.

TD Ameritrade, a subsidiary of Charles Schwab, is an Equal Opportunity Employer. At TD Ameritrade we believe People Matter. We value diversity and believe that it goes beyond all protected classes, thoughts, ideas, and perspectives.

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