Associate - Data Engineer

Key Skills

Algorithms, Apache Hadoop, Apache Hive, Apache Pig, Data Analytics, Data Modelling, Data science techniques, Data structuring, Data Warehousing, Design, ETL frameworks, Finance, Leadership Skill, Machine learning techniques, MongoDB, Presentation skills, Software Development, SQL, SQL Server, Sqoop

Job Description

What you will get out of the program

• Mentorship
• Challenging Career Opportunities
• Continuous Training and Development
• Certification Opportunities
• Hands-on Technology Experience
• Knowledge Sharing and Presentation Opportunities
• Exposure to Leadership
• Community of Dedicated and Welcoming Peers

What you’ll do

As a member of the NERD program, you will be working in our Data and Rep Technology (DaRT) organization that governs the strategy and implementation of the enterprise data warehouse and emerging data platforms. You will collaborate with partners across the firm to build the next generation analytics platform and capabilities for Charles Schwab. DaRT supports executive leadership, Sales, Marketing, and Finance teams by integrating and analyzing data to help them make data-based decisions through four primary opportunities:

Data Science Frameworks

This team partners with our data scientists and business stakeholders to design intuitive data solutions and create the best-suited serving pipelines for their modeling and analysis needs. You will help drive the deployment of cross-functional applications, determine platform design and architecture, and set the vision to build and scale our machine learning and experimentation platforms.

Data Engineering

This team designs, develops, and implements enterprise data integration solutions. You will have the opportunity to partner with other developers to set the future of the Data Warehouse through exciting and challenging projects and learning and using emerging technologies.

Data Analytics

This team performs data analysis of enterprise integration solutions to transform data into actionable insights leveraging best-in-class technologies, analytics, and visualization tools.

Platform and Production Support

This team builds next-gen enterprise data platforms, manages currency upkeep of existing platform assets, and matures those investments. The core functions include platform engineering, tenant-focused governance, capacity management, software upgrades, performance optimization, administration, lifecycle management, and maintenance.

What you are good at

• You enjoy problem solving
• You have a hunger for knowledge
• You work well with others
• You are a good communicator

What you have

What you have

• Undergraduate or graduate degree in Computer Science, Management Information Systems, or related discipline with a graduation date of December 2023 or earlier and/or
• Workforce training certifications through coding bootcamps with a graduation date of December 2023 or earlier
• Ability to start full-time with the program on January 22, 2024
• Basic understanding of data modeling
• Understanding of SQL development principles
• Experience with algorithm design
• Basic understanding of object-oriented analysis and design
• Familiarity with data structures
• Experience with data engineering, Extract, Transform, Load (ETL), Hadoop, MongoDB, Unix, Sqoop, HiveQL, or Pig Scripting is a plus
• Inventiveness and eagerness to work with experimental technology
• Demonstrated leadership potential
• Passion and interest in solving problems applying innovation and experimentation

Workplace Flexibility Program

We're proud to support our employees in a working approach that allows you to bring your best self to work – whether that’s in the office or remote.

• Employees will have the flexibility of a hybrid work environment, spending some time working remotely and sometimes in the office.
• Employees and managers can discuss and decide what works best for them, with flexibility available based on their role, business needs, and individual circumstances.