Your opportunity

At Schwab, you are 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.

Would you like to be part of a new team chartered to build the next generation data & analytics platform supporting Customer Analytics? The Client Data Technology (CDT) team is responsible for Charles Schwab’s client data platform that drives differentiated experiences for customers, accounts, households, and advisors through various channels (Schwab.com, call centers, branches, etc). 

We are looking for a Senior Data Engineer to develop and enable the strategic use of customer focused, analytical data assets on Google Cloud.  Our ideal candidate is enthusiastic about learning new and existing technologies to deliver outstanding data solutions. You need to have proven critical thinking skills and a laser focus on pragmatic problem solving. We require strong ethics, analytical thinking, and the ability to partner with, and influence business stakeholders and technologists across the organization. You should have backgrounds in both software engineering and data engineering, along with a strong passion for data integration technology.

What you have

Required Qualifications

8+ years designing, developing, and supporting analytical solutions using modern data warehouse solutions such as BigQuery (preferred), Snowflake, or Redshift8+ years designing and developing object-oriented components and frameworks using Java or Python8+ years working on agile teams delivering data solutions on time with high quality5+ 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 & Beam5+ years translating business requirements into resilient solution designs5+ years prioritizing and planning development work, identifying dependencies, breaking down user stories, and writing efficient, intuitive technical documentation5+ years building relationships with domains and teams across large organizations3+ years designing and coordinating complex development projects spanning multiple departments3+ years writing automated unit tests for data interfaces & data pipelines3+ years coaching engineers, fostering a culture of excellence, and challenging the status quo3+ years defining and driving data quality and metadata management strategies3+ years identifying opportunities for continuous improvement and advocating for their prioritization

Preferred Qualifications

Solid understanding of customer analytics, how analytical data assets are designed to support maximum business value, and delivering optimal solutions based on business contextAbility to translate relational and non-relational data into dimensional data modelsExceptional critical thinking skills and insatiable intellectual curiosityDemonstrated ability to quickly investigate and comprehending new data technologiesOutstanding interpersonal skills, including teamwork, communication, and negotiation, cultivating a culture of open feedback and promoting accountability across the team
What’s in it for you

At Schwab, we’re committed to empowering our employees’ personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you’ll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

401(k) with company match and Employee stock purchase planPaid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positionsPaid parental leave and family building benefitsTuition reimbursementHealth, dental, and vision insurance Apply Save job