Manager - Data Science / Data Engineer

• 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