Security Data Engineer - Cloud & AI-Driven Pipelines

The Charles Schwab Corporation; Lone Tree (CO); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k) match

Employee stock purchase plan

Paid time off & sabbatical

Job summary

The Charles Schwab Corporation in Lone Tree, Colorado is seeking a data engineer to design, build, and operate secure data pipelines on Google Cloud Platform to support the Cyber Security Data Mart. You will collaborate with security, engineering, and business teams to deliver trusted data products for analytics, dashboards, and self-service.

The role emphasizes secure development practices, data governance, and operational reliability.

Qualifications

• Bachelor’s or Master’s degree in computer science, information systems, engineering, cyber security, data analytics, or related field, or equivalent practical experience.
• 2–5 years of hands-on experience in data engineering, data management, application development, security engineering, or related technical delivery.
• Experience gathering data from multiple sources and consolidating into trusted, centralized data products for analytics, visualization, reporting, and operational use.
• Strong experience with Google BigQuery, Google Cloud Storage, Cloud Composer.
• Proficiency in SQL and Python for data processing, automation, validation, transformation, and optimization.
• Experience designing, building, and supporting ETL processes and production data pipelines.
• Understanding of secure development practices, data protection, code review, testing, access control, and operational support.
• Ability to use or learn approved AI-assisted development tools, including GitHub Copilot.
• Strong problem-solving, communication, collaboration, and documentation skills.

Responsibilities

• Designing, building, and maintaining scalable data pipelines using Google Cloud Platform services like BigQuery, Cloud Storage, and Cloud Composer.
• Developing and optimizing SQL and Python solutions for data ingestion, transformation, automation, validation, and reporting.
• Translating cyber security and business requirements into reliable data products for analytics, metrics, dashboards, and operational decisions.
• Applying secure development, data quality, data governance, and access control across data solutions.
• Monitoring, troubleshooting, and resolving data pipeline issues with root cause analysis and remediation.
• Recommending improvements to data architecture, pipeline design, performance, maintainability, and resilience.
• Using AI tools (GitHub Copilot) to improve productivity, coding, testing, and documentation.
• Reviewing AI-assisted outputs for Schwab standards and security.

Skills

BigQuery

Python

SQL

Data pipelines

Security engineering

Agile

Documentation

Education

Bachelor’s or Master’s in CS/IS/Engineering

Tools

Dataflow

Pub/Sub

Cloud Functions

Dataplex

Dataform

Looker

Terraform

Job description

The Charles Schwab Corporation in Lone Tree, Colorado is seeking a data engineer to design, build, and operate secure data pipelines on Google Cloud Platform to support the Cyber Security Data Mart. You will collaborate with security, engineering, and business teams to deliver trusted data products for analytics, dashboards, and self-service.

The role emphasizes secure development practices, data governance, and operational reliability.