Data Engineer

Charles Schwab is seeking a Data Engineer to support Sales & Service with enterprise data solutions, scalable pipelines, and improvements to testing and delivery practices. In this onsite role across Southlake, TX, Austin, TX, and Chicago, IL, you will work with product and business stakeholders to deliver maintainable capabilities that strengthen critical processes and advance Schwab’s data platform strategy.

What you’ll do

• Develop enterprise data solutions that support critical business processes and advance Schwab’s data platform strategy.
• Design scalable data pipelines and integration solutions.
• Improve testing and delivery practices to support reliable releases.
• Contribute to modernization of cloud-based data platforms.
• Address complex technical challenges and make decisions that improve solution quality, performance, and reliability.
• Collaborate with product owners, architects, analysts, and business stakeholders to translate evolving requirements into maintainable solutions, adjusting to changing priorities and technologies.

Core qualifications

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field (or equivalent practical experience).
• 5+ years of software engineering, data engineering, or enterprise application development experience.
• Experience designing and implementing enterprise-scale data integration and data engineering solutions.
• Hands-on experience with Snowflake, Python, Microsoft SQL Server, Google Cloud Platform, Airflow, Informatica IDMC, data modeling, GitHub, and CI/CD practices.
• Knowledge of change data capture, medallion architecture, reconciliation, data processing, data lakes, and data warehousing.
• Ability to apply quality assurance, automated testing, and compliance practices for reliable solutions.
• Demonstrated skills in problem solving, communication, cross-functional collaboration, stakeholder management, and adaptability.

Tools and technologies

Snowflake, Python, Microsoft SQL Server, Google Cloud Platform, Airflow, Informatica IDMC, data modeling, GitHub, and CI/CD.

Preferred qualifications

• Experience in wealth management, financial services, or another regulated industry.
• SnowPro, Google Cloud, Cloud Data Engineering, or a related professional certification.
• Experience contributing to large-scale cloud modernization or data platform transformation initiatives.
• Experience with DevOps, observability, production support, performance optimization, and automated testing.
• Ability to identify process improvement opportunities and implement practical, scalable solutions.
• Ability to produce concise, well-structured technical and business documentation.

Compensation and location

• Location: Southlake, TX; Austin, TX; Chicago, IL (onsite)
• Pay: USD 48 - 59 per hour
• Base qualification: 5 years minimum experience
• Additional compensation: In addition to the salary range, this role is eligible for bonus or incentive opportunities.

Benefits

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