Data Engineer
About The Position
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 shapes how clients manage their money by delivering innovative, reliable technology products and services. As a Data Engineer supporting Sales & Service, you will develop enterprise data solutions that strengthen critical business processes and advance Schwab’s data platform strategy. You will design scalable data pipelines and integration solutions, improve testing and delivery practices, and help modernize cloud-based data platforms. Using technologies such as Snowflake, Python, SQL, Informatica, Airflow, and Google Cloud Platform, you will solve complex technical challenges and make sound decisions that improve solution quality, performance, and reliability. You will collaborate with product owners, architects, analysts, and business stakeholders to translate evolving requirements into maintainable solutions, adapting your approach as priorities and technologies change.
Requirements
- 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
- Demonstrated Problem Solving, Communication, Cross-Functional Collaboration, Stakeholder Management, and Adaptability skills
Nice To Haves
- 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
Responsibilities
- Design scalable data pipelines and integration solutions
- Improve testing and delivery practices
- Modernize cloud-based data platforms
- Solve complex technical challenges
- Make sound decisions that improve solution quality, performance, and reliability
- Collaborate with product owners, architects, analysts, and business stakeholders to translate evolving requirements into maintainable solutions
- Adapt approach as priorities and technologies change
- Apply quality assurance, automated testing, and compliance practices to deliver reliable solutions
- Identify process improvement opportunities and implement practical, scalable solutions
- Produce concise, well-structured technical and business documentation
Benefits
- In addition to the salary range, this role is eligible for bonus or incentive opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
