Python Application Engineer
Summary
Builds and maintains serverless data pipelines that sync investor data between Snowflake, Salesforce, and APIs using Python, AWS Lambda, and Step Functions.
Python Application Engineer
Remote
Python Application Engineer to design, build, and maintain serverless applications that orchestrate data pipelines to sync investor data across Snowflake, Salesforce, and API-driven platforms. You'll architect complex multi-step workflows, optimize data transformations, and ensure reliable execution across development, QA, and production environments.
TECHNICAL STACK (WHAT YOU'LL USE DAILY) Orchestration: AWS Lambda + Step Functions Data Processing: Python with PyArrow for efficient ETL Data Warehouse: Snowflake for structured data extraction and storage Infrastructure: Terraform for IaC, GitHub Actions for CI/CD State & Caching: DynamoDB for pipeline metrics and execution state Observability: CloudWatch + DataDog structured logging, AWS X-Ray tracing API Integrations: REST APIs (Salesforce, Anduin IDM, custom endpoints)