About the Role Dataweav is hiring a Data Engineer to own and scale our automated data collection systems. You'll take full workflows end-to-end: designing extraction logic, hardening pipelines against site changes, normalizing data into clean schemas, and keeping QA tight across the board. You'll also help level up our interns and set the standard for how we build.

This is an AI-first team. We use Claude Code and AI assistants daily as core development tools. We move fast, and we expect you to own your work.

Type: Full-Time

Location: Nepal (remote)

Experience: 1-2 years building data extraction pipelines, frontend development, or backend development

Background: Computer Science or equivalent hands-on experience What You'll Do

Design and build data collection workflows using Python, Playwright, and HTTP APIs

Own complex and high-value pipelines end to end, from first request to QA sign-off

Reverse-engineer site behavior: read network traffic, replicate API calls, handle auth, pagination, and anti-bot measures

Diagnose and fix failures fast: failed requests, structural changes, rate limits, missing or corrupted data

Design and maintain standardized data schemas with validation

Build and improve QA checks that catch regressions before they ship

Support and mentor interns through code review and technical guidance

Use AI-assisted development (Claude Code)



as a core part of your daily workflow What We're Looking For

At least 1-2 years of hands-on experience in data extraction, web scraping, frontend development, or backend development

Strong proficiency in Python

Solid understanding of HTML, CSS, JavaScript, and how browsers work under the hood

Confident reading network traffic in browser DevTools: inspecting requests, reading responses, understanding HTTP headers, cookies, and auth flows

Experience keeping pipelines reliable at scale, not just writing one-off scripts

Self-directed, takes ownership, and communicates clearly in English (written)

Comfortable using Claude Code as an AI coding assistant Nice to Have

Experience with Playwright, BeautifulSoup, or lxml

Experience with Git, SQLite, Pydantic, and pytest

Familiarity with proxies, captcha handling, or anti-bot evasion

Experience mentoring junior engineers or reviewing code

Hands-on experience with Playwright, BeautifulSoup, or lxml

Comfortable with Git and writing tests (pytest) Work Hours

Monday to Friday, 40 hours per week, standard Nepal work hours. You must be available to overlap with our HQ team for 1-2 hours daily in the evening for communication. This is an AI-first team. You will use Claude Code at work from day one. Candidates who are already comfortable with it will have a solid advantage.

📌 Data Engineer (Uttar Pradesh)
🏢 Dataweav
📍 Uttar Pradesh