onsite
Senior Specialist - AI & Data Engineer - Charles Schwab
Data Engineer
Lead end‑to‑end AI and data engineering projects, building scalable pipelines and ML models on AWS to transform treasury analytics and reporting.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines using Python, SQL, and Apache Spark to ingest, transform, and store large financial datasets.
- Build and deploy machine learning models on AWS SageMaker, ensuring model quality, monitoring, and retraining workflows.
- Collaborate with cross‑functional teams to translate business requirements into technical solutions, optimizing performance and scalability.
- Implement CI/CD practices with Airflow and GitHub Actions to automate data workflows and model deployments.
- Document architecture, data models, and best practices for future maintainability and knowledge transfer.
Requirements
- 5+ years of experience in data engineering and AI/ML development within a financial services environment.
- Proficiency in Python, SQL, and experience with Spark or similar big‑data frameworks.
- Hands‑on experience deploying ML models on AWS (SageMaker, Lambda, Glue).
- Strong understanding of data governance, security, and compliance standards.
- Excellent communication skills and ability to work collaboratively in an on‑site team setting.
Skills
pythonsqlawsmachine learningapache sparkairflow