Senior Data Engineer - Cloud Data Platform Lead

Charles Schwab

Austin (TX)

On-site

USD 140,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

401(k) with company match
Paid time off + volunteering + sabbatl
Parental leave
Tuition reimbursement
Health, dental, and vision insurance

Job summary

Charles Schwab is seeking a Senior Data Engineer to lead the design, development, and modernization of enterprise-scale cloud data solutions. You will collaborate with product owners, architects, analysts and business stakeholders to build resilient data products and scalable pipelines.

The role combines hands-on development with technical leadership in a regulated financial services environment. Ideal candidates will have 10+ years in data or software engineering, extensive Snowflake, Python,

Qualifications

  • 10+ years of software, data engineering, or enterprise application development.
  • 10+ years delivering enterprise-scale data integration and data engineering solutions.
  • Deep experience with Snowflake, Python, SQL Server, GCP, Airflow, GitHub, and CI/CD.
  • Strong data modeling, data integration, and data warehousing expertise.
  • Proven ability to build secure, scalable data pipelines and platforms.
  • Excellent communication and stakeholder management skills.

Responsibilities

  • Design, develop, and modernize enterprise-scale cloud data solutions.
  • Partner with product owners, architects, analysts, and stakeholders to translate requirements.
  • Lead hands-on development and drive engineering direction, mentoring teammates.
  • Ensure secure, scalable, and highly available data pipelines and platforms.

Skills

Data modeling
Data integration
Data warehousing
Mentoring
Stakeholder management
Communication
Leadership

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems

Tools

GitHub
Apache Airflow
Snowflake
Google Cloud Platform (GCP)
Informatica IDMC
Microsoft SQL Server
CI/CD practices

Job description

Charles Schwab is seeking a Senior Data Engineer to lead the design, development, and modernization of enterprise-scale cloud data solutions. You will collaborate with product owners, architects, analysts and business stakeholders to build resilient data products and scalable pipelines.

The role combines hands-on development with technical leadership in a regulated financial services environment. Ideal candidates will have 10+ years in data or software engineering, extensive Snowflake, Python,

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