Charles Schwab

Data Engineer

Full-time · Southlake, TX
✓ Verified live on the employer's own system · added 4 days ago
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Mid-level · 3+ yrs exp

Requirements

Experience: 3+ years

Skills & tools

SQLQuality AssuranceEtlTest StrategyScriptingPythonScalable Data ArchitectureTroubleshooting

Benefits — mentioned in this posting

Remote / flexible401(k) / retirementEquity / stockPaid time offFamily / parental leaveTuition / educationHealth, dental & vision
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Full job description

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 apply 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 applying 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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