Data Engineer

Data Engineer — PolicyAide (NYC or Remote)

PolicyAide is building the intelligence layer for how companies understand government. We ingest, clean, and model massive volumes of legislative, regulatory, and public-sector data to power real-time insights for enterprise users.

We're looking for a Data Engineer who can own and scale our data pipelines end-to-end. You'll work directly with the founders to design ingestion workflows, optimize our Postgres/Supabase data models, and productionize the systems that support our analysis and AI agents.

What you'll do:

• Build and maintain robust ETL/ELT pipelines for web-scraped, API-based, and PDF-extracted data.
• Design scalable schemas (JSONB-heavy) and indexing strategies in Postgres/Supabase.
• Implement monitoring, alerting, and automated change-detection workflows.
• Work closely with AI engineers to integrate embeddings, vector search, and model-driven enrichment.
• Help shape our internal data platform as one of our earliest technical hires.

You're a good fit if:

• You have strong experience with Python, SQL, and cloud-native data tooling.
• You've built real pipelines in production (Cron → workers → DB → downstream users).
• You're comfortable working in a fast environment with little hand-holding and high ownership.
• You enjoy solving messy data problems and turning them into clean, reliable systems.

Nice to have

• Experience with Supabase, Postgres, Airflow, or similar.
• Familiarity with vector databases or embeddings.
• Interest in government, public policy, or information systems.

If this sounds like you, reach out — we'd love to chat.