Data Analyst

Alphamatician; Indiana (PA); On-site; USD 95,000 - 150,000; Full time

Job summary

Alphamatician is hiring a Web Scraping Engineer for an individual-contributor role at the heart of our data operations. The work is technical, operational, and quietly important: keeping a mature alternative-data product running reliably for institutional investors.

This role starts at 7am US Eastern and focuses on day-to-day data collection, quality, and client-facing questions. Strong candidates have production PHP experience (CodeIgniter 4 a plus), Python scraping libraries, and MySQL

Qualifications

• Production PHP experience with public work evidence (repo/blog post).
• Proficiency in Python scraping libraries and modern tools (Playwright/Scrapy/Selenium/Requests).
• Experience scraping hard targets at scale, with anti-bot defenses and dynamic rendering.
• Strong MySQL skills: read/write/optimize large queries against big tables.

Responsibilities

• Review overnight pipeline logs and triage failures or gaps.
• Fix PHP bugs and update scrapers as target sites change structure or defenses.
• Improve collection coverage and data quality through incremental changes.
• Respond to client inquiries about coverage, methodology, or anomalies.
• Contribute to collection strategy and new datasets/features.

Skills

Production PHP experience

Python scraping libraries

Public scraping work link

Anti-bot scraping experience

7am ET schedule

Tools

CodeIgniter 4

Playwright

Scrapy

Selenium

Requests/httpx

BeautifulSoup

MySQL

Job description

Alphamatician is hiring a Web Scraping Engineer for an individual-contributor role at the heart of our data operations. The work is technical, operational, and quietly important: keeping a mature alternative-data product running reliably for institutional investors.

What You Will Do

• Morning (7am ET). Review overnight pipeline logs. Identify failures, anomalies, or coverage gaps. Triage fixes and follow-ups.
• Engineering work. Fix PHP bugs. Update scrapers as target sites change their structure or defenses. Update cron logic. Ship incremental improvements to collection coverage and quality.
• Data quality. Run checks against current and historical baselines to confirm coverage and accuracy.
• Client questions. Respond to client inquiries about coverage, methodology, or anomalies as they come in.
• Strategy. Periodically discuss collection strategies, help scope and stand up new datasets, and contribute to new products and features.

This is operational work with a steady rhythm. The reward is in keeping an important data product running well, and in being good at a specific kind of hard problem (scraping hard sites at scale) that few people are actually good at.

Hard Requirements

• Production PHP experience. CodeIgniter 4 is a strong plus. You must be able to point to public PHP work: a repo, contributions to a project, a blog post, or similar.
• Python proficiency with modern scraping libraries. Working fluency in Playwright, Scrapy, Selenium, Requests, httpx, BeautifulSoup, or comparable.
• Demonstrated experience scraping hard targets at scale. Sites with active anti-bot defenses, dynamic rendering, rate-limit walls, or aggressive blocking. You must include a link to public scraping work in your application, or describe a specific scraper you built in detail (target, defenses encountered, how you solved them).
• MySQL competence. Reading, writing, and optimizing non-trivial queries against tables with hundreds of millions of rows.
• Schedule. 7am US Eastern start.
• US-based with verifiable employment history.

Strong Plusses

• Direct experience with anti-bot evasion: residential proxies, TLS fingerprint matching, JA3, header rotation, CAPTCHA strategy.
• Comfort with mature, incrementally maintained codebases rather than green-field environments.
• Background in financial data, alternative data, or equity research.
• Node.js, Puppeteer, or additional automation tooling.

Scope

This role focuses on day-to-day data collection, quality, and client-facing operations. It is not an architecture, modernization, or infrastructure-ownership role. If you want to redesign systems or own the stack, this is not the right fit. If you want to do excellent scraping work, solve real bugs, and own the daily craft of keeping a data product reliable.