Sr Manager, Data Engineering Senior

Your Opportunity

At Schwab, you9re 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.

Job Duties
:
Build solutions using C#, Python, R, and SQL to move, validate, and transform large datasets. Create automated processes that ensure adherence to data governance standards. Contribute to an Agile software team to deliver results iteratively. Present approaches and findings to internal management and stakeholders. Work with CRM, technology, and other business partners to achieve objectives. Create model implementation documents for internal and external verification, review, and audit.

Job Requirements
:
Requires Bachelor’s or Master
29s in Computer Science, Engineering, or a related field and 60 months of progressive, post-Bachelor
29s experience (60 months with bachelor
29s or 36 months with master
29s) in a related occupation. . Experience must include 36 months of experience in each of the following:
Developing and maintaining large-scale data pipelines using Python and SQL, including building automated ETL/ELT workflows for structured and semi-structured datasets, and implementing fault tolerant, recoverable processing patterns;
Cloud-based data engineering implementations on AWS and/or Google Cloud Platform (GCP), including building data solutions using cloud storage and compute services, and integrating cloud services with data processing frameworks;
Monitoring and operational support for data platforms, including use of job scheduling and observability tools (e.g., Autosys, Grafana), and implementing alerting/metrics to ensure pipeline reliability and SLA adherence;
Implementing proactive pipeline reliability controls, including job-level monitoring, execution validation, and structured RCA for failures, with documented remediation to prevent recurrence;
Building business intelligence and analytics outputs using reporting/visualization platforms such as Power BI, Tableau, and Google Data Studio, including producing operational and analytical; and Reviewing and validating application code and deployment configurations across data pipelines, including assessment of source-to-target data flows, transformation logic, memory allocation, and alignment with documented business and technical requirements.

We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 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;

hybrid/remote work schedule available for eligible positions (subject to Schwab
222 e9s internal approach to workplace flexibility).