Onsite Data Engineer: ETL, Data Warehousing & Analytics

Charles Schwab Corporation; Westlake (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Charles Schwab Corporation is seeking a hands-on Data Engineer in Westlake, TX to build scalable data pipelines and data marts for Advisor Services analytics. You will translate business needs into reliable ETL/ELT workflows, improve data quality, and support production operations.

The role requires 3+ years in data engineering, strong SQL, cloud skills (BigQuery, Cloud Storage), and familiarity with GitHub and JIRA.

Qualifications

• Expertise in ETL/ELT development and data quality practices.
• Strong SQL and data warehousing concepts including star schema.
• Experience with Google Cloud technologies (BigQuery, Cloud Storage).
• 3+ years hands-on data engineering experience.
• Ability to translate business needs into data mappings and metrics.
• Excellent cross-functional collaboration and communication.

Responsibilities

• Build and maintain data mart solutions for reporting and analytics use cases.
• Design end-to-end data pipelines for ingesting, processing, and transforming large data volumes.
• Define dimensional models and slowly changing dimensions as needed.
• Implement data quality controls and production monitoring.
• Collaborate with stakeholders to translate requirements into technical designs.
• Provide technical leadership for data pipeline development.

Skills

ETL/ELT development

SQL

Data pipelines

Data modeling

Cross-functional collaboration

Cloud data platforms

Problem solving

Willingness to learn

Education

Bachelor's or Master’s degree in CS/IT or related field

Tools

BigQuery

Cloud Storage

GitHub

JIRA

Control-M

Informatica

SSIS

Job description

Charles Schwab Corporation is seeking a hands-on Data Engineer in Westlake, TX to build scalable data pipelines and data marts for Advisor Services analytics. You will translate business needs into reliable ETL/ELT workflows, improve data quality, and support production operations.

The role requires 3+ years in data engineering, strong SQL, cloud skills (BigQuery, Cloud Storage), and familiarity with GitHub and JIRA.