Full Stack Engineer, Data Applications

Your opportunity

Schwab Description:

At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing what’s right, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success – they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape. 

Schwab India Description:

Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation, scale and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations – it’s a chance to experiment, learn, and build within a values-driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future in the region.

Organization / Role Description:

The Sr. Specialist, Data Engineering (Data Tools) is a hands-on developer responsible for building and supporting data automation tools and full-stack applications within Schwab Data India. The Data Tools team develops modern solutions such as data lineage platforms, automated data quality testing tools, and AI-assisted development capabilities that streamline workflows for hundreds of ETL developers, improving productivity and enabling more efficient, reliable data engineering practices.
In this role, you will work closely with experienced engineers to deliver innovative, scalable, and efficient solutions, leveraging AI-assisted tools to accelerate development and enhance quality. This position offers strong opportunities to learn, grow, and contribute to meaningful, high-impact work, while being part of the Analytical Data Platform Engineering (ADPE) organization that supports Schwab’s enterprise data platforms managing over 4 petabytes of data.

The Schwab Data Tools team is at the forefront of innovation, building and managing modern data solutions such as data lineage platforms, automated data quality testing frameworks, and AI-assisted data engineering tools. These solutions empower hundreds of ETL developers by streamlining workflows, improving data reliability, and accelerating time-to-market.
This team thrives on creative problem-solving, continuous innovation, and developing efficient, scalable solutions that significantly enhance productivity and engineering experience. By leveraging AI-assisted capabilities, the team is redefining how data engineering is performed, bringing intelligent automation, deeper insights, and measurable efficiency gains across Schwab’s data ecosystem.
Joining this team means being part of a culture that values:
•Innovation and forward-thinking solutions
•Driving efficiencies and operational excellence
•Strong engineering craftsmanship and modern full-stack development
•Collaboration and continuous learning
•High job satisfaction through meaningful, high-impact work
This is an exciting opportunity for developer who are passionate about building world-class data solutions, enabling teams at scale, and making a tangible impact through technology, automation, and AI-driven transformation

What you have

Key Responsibilities:

Design, develop, and maintain scalable full-stack web applications using Python and Angular, focusing on performance and engineering efficiency.
•Write clean, efficient, and well-tested code following established coding standards and best practices.
•Implement features, bug fixes, and enhancements for Schwab data automation tools to improve developer productivity and workflow efficiency.
•Develop REST APIs and backend services to support data tool applications and integrations.
•Create and maintain unit and integration tests to ensure high reliability and code quality.
•Participate in technical design discussions and contribute practical ideas to improve solutions, usability, and efficiency.
•Leverage AI-assisted development tools where appropriate to accelerate coding, automate repetitive tasks, and enhance overall productivity.
Collaboration & Learning
•Collaborate with team members through code reviews, pair programming, and knowledge sharing.
•Work with product owners and stakeholders to understand requirements and acceptance criteria.
•Participate in agile ceremonies including sprint planning, daily standups, and retrospectives.
•Coordinate with U.S.-based team members for knowledge transfer and issue resolution.
•Document technical implementations, APIs, and system components.

Quality & Operations
•Follow established CI/CD practices for code deployment and release management.
•Troubleshoot and debug application issues, providing timely resolutions.
•Adhere to Schwab’s security, privacy, and regulatory standards in all development work.
•Support production deployments and participate in on-call rotation as needed.
•Continuously improve skills in relevant technologies and share learnings with the team.

Required Qualification:

Required Experience
•Minimum 5 years of hands-on experience in software development.
•Strong proficiency in Python with experience building web applications and APIs.
•Working knowledge of Angular or React for front-end development.
•Experience with relational databases (SQL) and data modeling concepts.
•Familiarity with version control systems (Git) and agile development methodologies.
•Exposure to data engineering concepts, ETL processes, or data platforms is a plus.
•Basic understanding of cloud platforms (GCP preferred) and containerization (Docker).

Skills and Attributes
•Strong problem-solving skills with attention to detail and code quality.
•Good communication skills with the ability to articulate technical concepts.
•Team player who thrives in a collaborative, fast-paced environment.
•Self-motivated with a passion for learning new technologies and improving skills.
•Ability to manage time effectively and deliver on sprint commitments.
•Adaptable and open to feedback with a growth mindset.

▪ Integrates strategies that mitigate risks and maintain controlled modifications
▪ Implements advanced strategies to generate deeper data insights
▪ Prioritizes compliance, security, and scalability of data systems
▪ Executes best practices for storing, protecting, and archiving data assets
▪ Resolves data modeling issues using advanced techniques
▪ Addresses QA challenges by applying best practices in testing and compliance.

Preffered Qualification:

Achieves results in dynamic environments by maintaining self-control
▪ Conducts in-depth analysis, evaluates factors, and influences decisions with insights
▪ Ensures stakeholders has the necessary information for informed decisions
▪ Networks with key stakeholders to exchange insights and foster cooperation
▪ Analyzes market dynamics, provides guidance to peers, and aligns work with business goals
▪ Makes decisions in challenging circumstances
▪ Acts as a resource for colleagues by providing insights and support
▪ Anticipates consequences of situations and acts to prepare for contingencies in assigned tasks
▪ Identifies opportunities for process improvements and implements creative solutions
▪ Influences team quality and effectiveness with decisions
▪ Verbally presents ideas confidently, ensuring mutual understanding
▪ Builds credibility with expertise, transparency, and confidentiality
▪ Delivers powerful messages with persuasive language to drive viewpoint adoption
▪ Chooses effective methods to reach ambitious goals and measure outcomes
▪ Applies specialized expertise to support initiatives that optimize performance
▪ Produces work that meets or exceeds quality expectations
▪ Writes concise, well-structured, and engaging business document.

Job Sub-FamilySpecific Competencies :

• ​​​​​​​​Analytical Thinking​ - ​Approaching a problem by using a logical, systematic, sequential approach​

• ​​Attention To Communication​-​Ensuring that information is passed on to others who should be kept informed​

• ​​Building Collaborative Relationships​-​Ability to develop, maintain, and strengthen partnerships with others who can provide information, assistance and support​

• ​​Business Acumen​–​Ability to perform with insight, acuteness, and intelligence in the areas of the industry
  Make decisions and act in situations in which there is not enough information to be certain of outcome or implications of the decision​

• ​​Adaptability​–​Ability to function effectively when under pressure and maintain self-control in the face of hostility or provocation​

• ​​Data Engineering Fundamentals​–​Strategically managing and operationalizing data pipelines and storage systems for data mining, analytics, and machine learning, prioritizing compliance, security, and scalability​.