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Tier-1 brand, metro location, mid-level generalist role, and broad required skills drive high competition.
Requires financial investment-data experience plus specialized data platform skills, reducing cross-industry transferability.
Explicit 3–5 years plus mandatory Snowflake/GCP/Python/Spark and investment-data experience increases shortlisting strictness.
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Design, develop, and optimize cloud-native investment data pipelines using Snowflake and Google Cloud Platform services.
Build and maintain investment data APIs and Python-based dashboards to enable access and visualization of curated investment datasets.
Own CI/CD pipelines, enforce data quality controls, and troubleshoot issues to ensure reliable delivery of investment insights within Schwab’s Asset Management data platform.
Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.
3-5 years of experience building cloud-based investment or financial data platforms.
Hands-on expertise with Snowflake, Google Cloud Platform services (GCS, Cloud Run, Cloud Functions, Pub/Sub, Composer, Cloud SQL), and strong Python skills for data engineering, API development, and visualization.
Experience with REST API frameworks (FastAPI, Flask), Python dashboard frameworks (Streamlit, Dash, Panel), distributed processing frameworks (Spark, Beam, or Flink), and CI/CD tools including Docker.
Experienced in financial/investment data domains, including portfolios, performance, risk, and pricing data.
Capable of leading technical problem solving and contributing to best practices in cloud data engineering within regulated investment data environments.
Skilled in full stack data engineering from pipeline design to API and visualization development, with proficiency in automation and data quality practices.