Senior Data Engineer - Web Scraping & Data Pipeline Development

Stabile Search • New York City Metropolitan Area
Relocation
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AI Summary

Design and maintain scalable data collection pipelines for dynamic JavaScript-rich web applications. Ensure data integrity, accuracy, and freshness through validation and monitoring. Partner with quantitative researchers to deliver production-quality datasets with low latency.

Key Highlights
Senior Data Engineer role with $600,000-$800,000 total compensation
Urgent hiring for quantitative hedge fund in New York City
Full ownership of data integrity including validation and monitoring
Key Responsibilities
Design and maintain scalable, production-quality data collection pipelines targeting dynamic, JavaScript-rich web applications
Analyze network traffic and application behavior to extract data reliably and respond quickly to upstream site changes
Take full ownership of data integrity end-to-end, including validation, anomaly detection, and ongoing monitoring for freshness and completeness
Technical Skills Required
Python Web scraping Data pipeline design
Benefits & Perks
Fully covered Medical, Dental and Vision Insurance
Tuition and Student Loan reimbursement
Excellent 401(k) matching program
Relocation is fully covered

Job Description


Are you a Senior Data Engineer with web scraping experience looking to join one of the most prestigious quantitative hedge funds in the world here in New York City?


My client has a growing team supporting one of their trading teams that is urgently looking for a software engineer who is excited about data and has excellent web scraping experience.


This is a role I am exclusively recruiting for. If you are ready to move into the world of quantitative finance and are available to start soon, then this is the role for you.


Compensation


• $600,000 - $800,000 Total Compensation depending on level of experience.

• Fully covered Medical, Dental and Vision Insurance.

• Tuition and Student Loan reimbursement.

• Excellent 401(k) matching program.

• Relocation is fully covered.


What's the Job?


• Design and maintain scalable, production-quality data collection pipelines targeting dynamic, JavaScript-rich web applications, leveraging both browser automation and HTTP-based extraction while ensuring accuracy, throughput, and respectful crawling practices.


• Analyze network traffic and application behavior to extract data reliably and respond quickly to upstream site changes.


• Take full ownership of data integrity end-to-end, including validation, anomaly detection, and ongoing monitoring for freshness and completeness.


• Partner with quantitative researchers to scope dataset requirements — covering content, coverage, latency, and QA standards — and deliver well-documented, reusable deliverables.


• Stay current with emerging tools and frameworks, championing targeted improvements that demonstrably enhance reliability, data quality, and long-term maintainability.


Qualifications


• Proven track record of developing and maintaining production-grade web scrapers and crawlers using tools such as Playwright, Selenium, and/or direct HTTP extraction and parsing techniques.


• Excellent Python experience.


• Hands-on experience designing robust data pipelines, including orchestration, monitoring and alerting, and automated workflows for quality assurance and failure recovery.


Location


This role is located in New York City five days a week.


Who Are They?


My client is one of the most sought-after quantitative finance firms in the world to work for. They offer many opportunities for growth, learning and career advancement. They are also well-known for stability and consistent performance in the industry.


To learn more, apply here today or email me at: Matt@Stabilesearch.com.



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