What are the responsibilities and job description for the Senior Data Engineer position at The Charles Schwab Corporation?
Senior Data Engineer Opportunity
At Schwab, you have the power to shape your career by driving innovation and creative problem-solving. We challenge the status quo and transform the finance industry together.
About the Role
We are building the next-generation data & analytics platform supporting Customer Analytics in our Client Data Technology (CDT) team. This team is responsible for Charles Schwab's client data platform that delivers unique experiences for customers, accounts, households, and advisors through various channels (Schwab.com, call centers, branches, etc).
Key Responsibilities
- Develop and enable the strategic use of customer-focused, analytical data assets on Google Cloud.
- Learn new and existing technologies to deliver outstanding data solutions.
- Partner with business stakeholders and technologists across the organization.
Requirements
Required Qualifications
- 8 years designing, developing, and supporting analytical solutions using modern data warehouse solutions such as BigQuery, Snowflake, or Redshift.
- 8 years designing and developing object-oriented components and frameworks using Java or Python.
- 5 years designing, developing, and supporting real-time data pipelines and streaming analytics using modern data integration tools such as GCP Composer & Dataflow or Apache Airflow & Beam.
Preferred Qualifications
- Solid understanding of customer analytics and how analytical data assets are designed to support maximum business value.
- Exceptional critical thinking skills and insatiable intellectual curiosity.
- Demonstrated ability to quickly investigate and comprehend new data technologies.
What You'll Need
- Strong ethics and analytical thinking.
- Able to work on agile teams delivering data solutions on time with high quality.
Our Culture
We foster a culture of open feedback and promote accountability across the team.
We are looking for a Senior Data Engineer to develop and enable the strategic use of customer-focused, analytical data assets on Google Cloud.
You should have backgrounds in both software engineering and data engineering, along with a strong passion for data integration technology.
