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Data Scientist - Platform Automation and Analytics

Schwab Stock Plan Services

Texas

Hybrid

USD 90,000 - 201,000

Full time

30+ days ago

Job summary

At a leading financial services company, the Data Scientist - Platform Automation and Analytics role focuses on developing business intelligence solutions. Responsibilities include designing ETL workflows, collaborating with teams on data quality, and building scalable data models to enhance risk forecasting and operational effectiveness. This position offers a competitive salary and attractive benefits.

Benefits

401(k) with company match

Paid time for vacation and volunteering

Paid parental leave

Tuition reimbursement

Health, dental, and vision insurance

Qualifications

3+ years of experience in ETL and database applications.
3+ years of Python and object-oriented programming experience.
3+ years of hands-on experience with SQL.

Responsibilities

Design and maintain ETL workflows and database applications.
Write clean, maintainable code in Python and SQL.
Collaborate with teams to codify data quality rules.

Skills

Python

SQL

ETL

Data Engineering

Critical-thinking

Problem-solving

Education

Bachelors in Computer Science, Engineering or Information Technology

Masters preferred

Tools

Google Cloud Platform

Power BI

Tableau

DevOps tools

CI/CD

Data Scientist - Platform Automation and Analytics

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Data Scientist - Platform Automation and Analytics

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Lone Tree, CO ; Westlake, TX ; Austin, TX

Requisition ID 2025-109445 Category Finance and Accounting Position type Regular Pay range USD $90,000.00 - $200,100.00 / Year Application deadline 2025-06-03

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Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.

The Treasury team is a team within our Finance department. We are responsible for balance sheet management strategy, portfolio and brokered deposit notional investment allocation decisions, balance sheet modeling and analytics, market risk management, ALM derivatives, and net interest revenue forecasting. The overall team manages fixed-income investments in several portfolios totaling approximately $500 billion in balance sheet assets and approximately $100 billion in off-balance-sheet brokered deposit agreement notional investments.

We are looking for a Data Scientistwith a strong technology and solution delivery acumen who will be responsible for the successful design, development, and delivery of business intelligence solutions. One of the key initial responsibilities would be to develop the data engineering infrastructure for the net interest revenue and market risk forecasting projects.

What you have

Required Skills

Bachelors in Computer Science, Engineering or Information Technology. Masters preferred.
3+ years of professional experience in development, support, and maintenance of ETL and database applications
3+ years of hands-on experience in Python and object-oriented programming
3+ years of hands-on experience with SQL and relational database concepts
1+ years of hands-on experience with statically-typed language (C++, C#, Java, etc.)
Familiarity with DevOps tools and CI/CD best practices; examples include Git (GitHub, GitLab, Bitbucket, etc.), Bamboo, Jenkins, Terraform etc.
Familiarity and comfortable with Agile development methodologies
Critical-thinking and strong problem-solving skills with ability to analyze and understand data.

Preferred Skills

Experience in the Financial Services industry is a plus.
Experience with Google Cloud Platform tools (BigQuery, Vertex, Compute Engine, Cloud Composer, DataProc)
Familiarity with BI tools such as Power BI or Tableau
Experience with Control M or Farnam
Front end development experience (Javascript, React, or similar)
Ability to interpret key trends and metrics and leverage them for actionable decisions.
Strong oral, written, and interpersonal skills for interacting and throughout all levels of the organization.

What You'll Do

In this role, the individual will:

Design, develop, test, and maintain ETL workflows and database applications
Write clean, maintainable code in Python and SQL
Create reusable Python libraries, templates, and CI/CD hooks to standardize ETL and QA/QC across multiple projects
Design, develop, and maintain a modular QA/QC framework for automated data validation, anomaly detection, and quality reporting
Collaborate with cross-functional teams to codify data quality rules and build unit and integration‑level tests into ETL pipelines
Build and optimize data models, performance tuning, and load strategies
Implement DevOps best practices — including source control (Git), CI/CD pipelines, and automated deployments
Troubleshoot, debug, and resolve production issues to ensure high availability
Identify opportunities for automation and system improvement
Collaborate with technology, analytics, and business partners to gather requirements and deliver reliable data products
Contribute to documentation of architecture, design decisions, and operational runbooks
Plan, estimation, scheduling, prioritization, and coordination of technical activities related to system development.
Ensure system alignment to architecture policies and best practices; ensure that process methodologies are followed in system development.
Provide mentorship and hands-on coding support to the team.

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.

What’s in it for you

At Schwab, we’re committed to empowering our employees’ personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you’ll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance

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