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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Quantitative Software Engineer - Research Platform - **Company:** Charles Schwab Inc. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Business Analytics Applications, Data Analysis, Automation of Tests, Big Data, Information Systems, Continuous Integration, Data Validation, Data Visualization, DevOps, Distributed Computing Environment, Python (Programming Language), MATLAB, Machine Learning, Productivity Software, Cloud Services, Backtesting, Software Engineering, Data Streaming, Unstructured Data, Google Cloud, Snowflake, Generative AI, Containerization, Information Technology, Deployment Automation, Data Analytics, Data Management, Software Version Control, Data Pipelines - **Published:** September 18, 2026 - **Apply:** https://dejobs.org/x/x/E80540FF44CB44E0A447534A86E9A0E0/job/ ## About the Role * Bachelor's degree in Computer Science, Information Systems, Mathematics, Engineering, or a related technical discipline, or equivalent practical experience. * 6+ years of software engineering experience developing data-intensive applications, analytical platforms, or quantitative systems using Python and/or similar languages such as R, MATLAB, or Julia. * Experience partnering with researchers, analysts, product owners, or business stakeholders to deliver data-driven technology solutions. * Experience designing, developing, and supporting scalable data pipelines and data platforms for structured and unstructured datasets. * Proficiency designing and implementing data models for efficient storage, integration, retrieval, and analysis. * Experience implementing data quality controls, monitoring, governance, lineage, and observability practices. * Experience developing software capabilities that support quantitative research, analytics, or other data-intensive workloads. * Experience applying modern software engineering and CI/CD practices, including source control, automated testing, containerization, and deployment automation. * Experience building automated testing frameworks for integration, regression, and data validation testing. * Experience developing data visualizations, dashboards, and analytical tools that enable actionable insights. * Experience collaborating within Agile and DevOps environments across engineering, product, architecture, and governance teams., * Advanced degree in Computer Science, Engineering, Mathematics, Quantitative Finance, or a related technical discipline. * Experience with cloud-native data platforms and architectures; Snowflake and/or Google Cloud Platform (GCP) experience preferred. * Experience building distributed data processing, streaming, or large-scale analytics solutions. * Experience developing reusable platforms, frameworks, libraries, or shared services. * Experience supporting quantitative investment research, model development, portfolio analytics, backtesting, or investment management workflows. * Experience analyzing large, complex datasets to identify meaningful insights and opportunities. * Experience developing self-service analytics, visualization, and researcher productivity tools. * Experience implementing model lifecycle management, monitoring, observability, and risk-control frameworks. * Experience applying machine learning, generative AI, or advanced analytics capabilities to business problems. * Ability to influence technology strategy, architecture decisions, engineering standards, and platform direction. * Strong verbal and written communication skills with technical and non-technical audiences. * Demonstrated commitment to innovation, experimentation, and continuous improvement. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Building a hypercar from scratch](https://www.wearedevelopers.com/videos/607-building-a-hypercar-from-scratch) ## Related Articles - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Software Developer Salary in Switzerland [2023]](https://www.wearedevelopers.com/magazine/215-software-developer-salary-in-switzerland-2023) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)