Tech Stack

Description

You will design and build scalable data pipelines and frameworks in Python, productionize ML workflows, and collaborate across teams to enable data-driven insights that power grassroots fundraising for Democratic campaigns and progressive causes.

Requirements

• 5+ years of professional data engineering or backend development experience with strong Python focus
• Expertise in writing clean, modular, tested, production-ready Python code
• Strong understanding of data architecture, distributed systems, and security best practices
• Experience deploying and supporting production ML workflows (SageMaker, Vertex AI, or equivalent)
• Solid SQL and experience with large analytical databases (Redshift, PostgreSQL)

Responsibilities

• Design, build, and maintain scalable data pipelines using Python
• Develop reusable data services and frameworks for ingestion, transformation, and ML deployment
• Productionize ML workflows with SageMaker, Vertex AI, or equivalent MLOps tools
• Implement monitoring, testing, and CI/CD automation for data pipelines and ML services
• Own and evolve real-time and batch data integrations between core systems and user-facing applications