> Markdown version of [/jobs/ext/3760666-data-engineer](https://www.wearedevelopers.com/jobs/ext/3760666-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Charles Schwab Inc. - **Location:** Southlake, TX, United States - **Experience:** Expert - **Salary:** $100,006.0 - $122,990.0 - **Contract:** Permanent contract - **Skills:** Airflow, Automation of Tests, Cloud Database, Continuous Integration, Data Infrastructure, Data Integration, Data Warehousing, DevOps, Github, Python (Programming Language), Microsoft SQL Server, Performance Tuning, Data Processing, Google Cloud, Enterprise Software Applications, Informatica Powercenter, Snowflake, Change Data Capture, Data Lakes, Data Pipelines - **Published:** October 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=bb194de699205e77 ## About the Role * Bachelor's degree in Engineering, Information Systems, Computer Science, a 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 * quality assurance, automated testing, and compliance practices to deliver reliable solutions * Demonstrated Problem Solving, Communication, Cross-Functional Collaboration, Stakeholder Management, and Adaptability skills, * 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