Manager - Data Science / Data Engineer
Your Opportunity
Your opportunity
At Schwab, you’re 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.
The Treasury Capital Markets (TCM) team is a team within our Corporate Treasury department. We are responsible for balance sheet management strategy, portfolio and brokered deposit notional investment allocation decisions, balance sheet modeling and analytics, market risk management, ALM derivatives, and net interest revenue forecasting. The overall team manages fixed-income investments in several portfolios totaling approximately $500 billion in balance sheet assets and approximately $100 billion in off-balance-sheet brokered deposit agreement notional investments.
What you have
Required Skills:
- Bachelors in Computer Science, Engineering or Information Technology. Masters preferred.
- 3+ years of professional experience in development, support, and maintenance of ETL and database applications
- 3+ years of hands-on experience in Python and other scripting languages
- Strong SQL knowledge, shell scripting and deep understanding of relational database concepts
- Experience with Farnam or Control M
- Experience with GCP technologies (GCS, BigQuery, Dataproc)
- Familiar and comfortable with agile development techniques
- Familiarity with SCM and DevOps tool suites and CI/CD best practices; examples include Git (GitHub, GitLab, Bitbucket, etc.), Bamboo, Jenkins, Concourse etc.
- Critical-thinking and strong problem-solving skills with ability to analyze and understand data.
Preferred Skills:
- Experience in the Financial Services industry is a plus.
- Ability to interpret key trends and metrics and leverage them for actionable decisions.
- Strong oral, written, and interpersonal skills for interacting and throughout all levels of the organization.
What you'll do:
We are looking for a Manager Data Engineer with a strong technology and solution delivery acumen who will be responsible for the successful design, development, and delivery of business intelligence solutions. One of the key initial responsibilities would be to develop the data engineering infrastructure for the net interest revenue and market risk forecasting projects. In addition, the individual would be:
- Working closely with business and other stakeholders to understand the needs and implementation.
- Performing ETL design, development, data management and data analysis.
- Creating data model, performance tuning, load plan etc. Making sure that deliverables fulfill both functional and non-functional requirements.
- Planning, estimation, scheduling, prioritization, and coordination of technical activities related to system development.
- Ensuring system alignment to architecture policies and best practices; ensure that process methodologies are followed in system development.
- Engaging with core technology teams to ensure the timely delivery of high-quality data engineering solutions.
- Providing mentorship and hands-on coding support to the team.
- Identifying opportunities for system reuse and system simplification.
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
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 plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
What you are good at
What you have
Required Skills:
- Bachelors in Computer Science, Engineering or Information Technology. Masters preferred.
- 3+ years of professional experience in development, support, and maintenance of ETL and database applications
- 3+ years of hands-on experience in Python and other scripting languages
- Strong SQL knowledge, shell scripting and deep understanding of relational database concepts
- Experience with Farnam or Control M
- Experience with GCP technologies (GCS, BigQuery, Dataproc)
- Familiar and comfortable with agile development techniques
- Familiarity with SCM and DevOps tool suites and CI/CD best practices; examples include Git (GitHub, GitLab, Bitbucket, etc.), Bamboo, Jenkins, Concourse etc.
- Critical-thinking and strong problem-solving skills with ability to analyze and understand data.
Preferred Skills:
- Experience in the Financial Services industry is a plus.
- Ability to interpret key trends and metrics and leverage them for actionable decisions.
- Strong oral, written, and interpersonal skills for interacting and throughout all levels of the organization.
What you'll do:
We are looking for a Manager Data Engineer with a strong technology and solution delivery acumen who will be responsible for the successful design, development, and delivery of business intelligence solutions. One of the key initial responsibilities would be to develop the data engineering infrastructure for the net interest revenue and market risk forecasting projects. In addition, the individual would be:
- Working closely with business and other stakeholders to understand the needs and implementation.
- Performing ETL design, development, data management and data analysis.
- Creating data model, performance tuning, load plan etc. Making sure that deliverables fulfill both functional and non-functional requirements.
- Planning, estimation, scheduling, prioritization, and coordination of technical activities related to system development.
- Ensuring system alignment to architecture policies and best practices; ensure that process methodologies are followed in system development.
- Engaging with core technology teams to ensure the timely delivery of high-quality data engineering solutions.
- Providing mentorship and hands-on coding support to the team.
- Identifying opportunities for system reuse and system simplification.
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
Why Schwab?
At Schwab, “Own Your Tomorrow” embodies everything we do! We are committed to helping our employees unleash their potential and achieve their dreams. Our employees get to play a central role in disrupting a multi-trillion-dollar industry, creating a better, more modern way to build and manage wealth. We’re a modern financial services firm that stands apart from the industry, where you can go as far as your ambition takes you.
Hear from employees: What’s it like to work at Schwab!
The benefits of working at Schwab : a package designed to empower your health, wealth, career and life. Schwab is committed to building a diverse and inclusive workplace where everyone feels valued.
As an equal employment opportunity employer, our policy is to provide equal employment opportunities to all employees and applicants without regard to any status that is protected by law. (Please click here to see policy.)
Schwab is also an affirmative action employer, focused on advancing women, minorities, veterans, and individuals with disabilities in the workplace. We believe diversity and inclusion are part of our success as a company and our purpose of serving every client with passion and integrity.