Overview

Data Acquisition EngineerWe're looking for a Data Acquisition Engineer who can own how external data flows from the internet into our product: collecting it, structuring it, and automating the pipelines behind it.

Responsibilities

• Identify and evaluate data sources (websites, public APIs, and app endpoints) and decide what's worth collecting.
• Build Python data extraction services that reliably pull structured data from static HTML, JSON endpoints, and JavaScript-rendered pages.
• Keep collection running smoothly as sources change, throttle requests, or restrict access, using proxies, sessions, retries, and backoff.
• Normalize messy, inconsistent output into a single clean schema: addresses, timings, categories, coordinates, prices.
• Deduplicate places across sources where the same venue appears under different names and coordinates.
• Automate the pipeline end to end with scheduled, repeatable runs and no manual steps.
• Validate data before it reaches production, and build the monitoring that catches problems before users do.

Qualifications

• 2-4 years building data extraction services and pipelines that ran in production.
• Strong Python, including asyncio and concurrency control.
• Practical experience working within rate limits and access controls: proxies, headers, backoff.
• MongoDB or strong SQL: aggregation, indexing, bulk writes.
• Comfortable with Docker, Linux, Git, and AWS (S3, SQS, EC2).
• Ability to take a source from exploration, to a working collector, to structured data, to an automated production pipeline.
• Genuine attention to data quality: you verify output before you trust it.
• Familiarity with geospatial data and place matching across sources.
• Great to have worked in a fast paced product-based startup.