Data Engineer

At Charles Schwab’s technology organization in Southlake, TX, you will help deliver reliable, trusted data through pipeline development and data migration support. This onsite role focuses on building and validating ETL-based transformations so data outcomes are accurate and ready for scalable technology solutions.

In this position, you’ll work with SQL and Informatica, leverage Python for open-source scripting, and collaborate with technical leads and peers to review mapping specifications and improve delivery quality. If you value data accuracy, clear transformation logic, and strong teamwork, this role aligns with how Schwab Technology Services delivers technology that supports data migration across systems.

What you’ll be doing

• Develop, test, and maintain data pipelines that support accurate data migration across source and target systems
• Apply data engineering fundamentals, SQL, and Informatica to implement transformations, validate data accuracy, and support data quality assurance
• Collaborate with technical leads and peers to review mapping specifications, refine solutions, and deliver high-quality data outcomes
• Support scalable, secure, and trusted technology solutions through dependable data pipeline execution

Requirements

• 3+ years of hands-on experience in ETL development
• Experience building mappings, tasks, and task flows using ETL tools
• Strong SQL experience, including writing queries, creating and altering tables, joints, aggregations, and data validation scripts
• Experience working with staging tables, lookup tables, reference tables, and mapping configurations
• Ability to read technical mapping specifications and implement source-to-target transformation logic
• Experience performing unit testing to validate data accuracy and transformation logic
• Open-source scripting using Python for data processing

Preferred qualifications

• Experience with RDBMS (Oracle, MS SQL Server) and database objects used in data migration or data integration work
• Ability to use data engineering fundamentals to build reliable, compliant, and scalable data pipelines
• Strong attention to detail when validating data, reviewing specifications, and preparing work for quality assurance
• Ability to troubleshoot moderately complex data issues by analyzing patterns, identifying root causes, and recommending practical solutions
• Experience participating in peer reviews and ing feedback to improve delivery quality
• Strong collaboration and communication skills, including working across technical teams and adapting to changing priorities

Compensation and location

Location: Southlake, TX (onsite). Pay: USD 43 to 52 per hour. Minimum experience: 3 years.

Benefits

• 401(k) with company match and Employee stock purchase plan
• Paid time for vacation and volunteering, plus a 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
• Bonus or incentive opportunities

Eligible Schwabbies receive

• Medical, dental and vision benefits
• 401(k) and employee stock purchase plans
• Tuition reimbursement to keep developing your career
• Paid parental leave and adoption/family building benefits
• Sabbatical leave available after five years of employment

Technologies: SQL, Informatica, Python