CS

Data Engineer

Charles Schwab

Southlake, UShybrid$43k-$53k/yrPosted Aug 4, 2026
Posting intelligenceActively listed

Skills

oraclepython

About the role

Southlake, TX

Requisition ID 2026-124807 Category Engineering & Software Development Position type Regular Pay range USD $43.27 - $52.88 / Hour Application deadline 2026-08-11

Your opportunity

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. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Schwab Technology Services builds and supports reliable technology products that help clients and business partners manage data with confidence. As a Data Engineer, you will help develop, test, and maintain data pipelines that support accurate data migration across source and target systems. In this role, you will use data engineering fundamentals, SQL, Informatica, and strong problem-solving skills to implement transformations, validate data accuracy and quality assurance. You will collaborate with technical leads and peers to review mapping specifications, refine solutions, and deliver high-quality data outcomes that support scalable, secure, and trusted technology solutions across Schwab.

What you have

Required qualifications

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 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 with the ability to work across technical teams, keep others informed, and adapt to changing priorities

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

What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration - so you can build the skills to make a lasting impact. 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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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

Compensation

This Data Engineer role pays $43k-$53k/yr. Within typical range for data engineer roles in United States.

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