Specialist - Software Development & Engineering

Your Opportunity

Schwab remains committed to providing increased visibility to career growth opportunities and job requirements. This posting announcement is part of increased transparency and while all qualified applicants will be reviewed and considered, this organization has a preferred candidate identified for this role.

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.

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location.

Do you want to be part of a Data Science Engineering team building the next generation analytics cloud platform for a leading financial firm? At Schwab, the Schwab Data organization governs the strategy and implementation of the enterprise data warehouse, Data Lake, and emerging data platforms. The organization’s mission is to drive activation of data solutions, rep engagement (Sales, Marketing, and Service) technology, and client intelligence to achieve targeted business outcomes, address data risk, and safeguard competitive position. We help Marketing, Finance, Risk, and executive leadership make fact-based decisions by integrating and analyzing data.

We are looking for a seasoned Data Science Engineer with a passion for Next-Gen Cloud and other modern data platforms and technologies.

As a Data Science Engineer for the ML Engineering & Ops team, you will be responsible for partnering with our data scientists and business stakeholders; proactively design intuitive data solutions and create the best-suited serving pipelines for their modeling and analysis needs. Moreover, you will drive the deployment of cross-functional applications, platform design & architecture, and the vision to build and scale our machine learning and experimentation platforms.

You will be partnering with a team of talented data science engineers and SMEs who bring a lot of energy, focus, and fresh ideas that support our mission to provide value by seeing the world “Through Clients' Eyes”.

What you’re good at

• Driving formulation of documentation, standards and production support processes for the Data Science production platforms and applications aligned with enterprise policies
• Developing, maintaining, and supporting large-scale and complex ETL and distributed Big Data applications in support of Data Science Model Serving
• Proactively detecting, troubleshooting, and resolving all issues affecting production applications. This involves coordination with and escalation to development and external teams where necessary. This team owns all production support issues escalated to DaRT until they are resolved, or a workaround is provided to end users
• Providing clear, concise, and timely communication to affected parties during the investigation and resolution of any individual or system-wide outages
• Ensuring and enforcing the Change Management hygiene for all changes propagated to production from a support and Steady State transition standpoint
• Partnering with development teams at the appropriate stages in application development to ensure any new systems or projects meet the Production Readiness standards
• Partnering with Business stakeholders to educate and navigate them through the Schwab Technology Services (STS) standards and policies for new projects or enhancements to existing investments
• Effectively navigating and supporting Incident and Change Management processes with an end-to-end understanding of the system flows and technology landscape
• Constantly updating knowledge repository, and ensuring seamless availability and accessibility of information regarding in context of support related activities or issues
• Driving and supporting cross-functional large-scale production releases and rollouts
• Providing technical oversight for junior team members and interns on day-to-day activities

What you have

To ensure that we have fulfilled our promise of "challenging the status quo," this role has specific qualifications that successful candidates should have.

Required Qualifications

• Bachelor of Science or equivalent in Computer Science or a related field
• Minimum of 3-4 years’ experience in development, support, and maintenance of ETL and database applications
• 3+ years of hands-on experience working with AWS or GCP technologies or equivalent (BigQuery, GCS, DataProc, DataFusion, Cloud IAM, DLP)
• 3+ year hands-on experience working with SQL or no SQL databases including advanced SQL analysis skills
• Experienced with Python based ETL frameworks and UNIX/PERL/Python scripting
• Comfortable with DevOps concepts and Monitoring Tools
• Solid grasp of computer science fundamentals including data structures and algorithms.
• Proven ability to evaluate and apply new technologies in a short time.
• Proven understanding of the full software development lifecycle including testing, continuous integration, and deployment.
• Functional knowledge of financial banking, stock brokerage or insurance domains is preferred
• Critical-thinking and strong problem-solving skills with ability to analyze and understand data
• Ability to interpret key trends and metrics, and leverage them for actionable decisions
• Ability to forge strong relationships and coordinate effectively with multiple stakeholders during outages and actively communicate updates to application development and Business partners
• Attitude that fosters a culture of collaboration and teamwork
• Familiar and comfortable with agile development techniques
• Demonstrated ability to work effectively within a team and with cross-functional technical and business teams

In addition to the salary range, this role is also eligible for bonus or incentive opportunities