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How much do night shift python scrapy jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for night shift python scrapy in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Night Shift Python Scrapy vs Night Shift Data Engineer?

AspectNight Shift Python ScrapyNight Shift Data Engineer
Required SkillsPython, Scrapy framework, web scraping, data extractionPython, SQL, data pipeline development, cloud platforms
Work EnvironmentWeb scraping teams, data collection projects, remote or on-siteData infrastructure teams, cloud environments, on-site or remote
Industry UsageWeb data collection, e-commerce, researchData warehousing, analytics, big data projects

Night Shift Python Scrapy focuses on web scraping and data extraction using Python, often in research or e-commerce contexts. Night Shift Data Engineer involves building and maintaining data pipelines and infrastructure. While both roles require Python, Scrapy is specific to scraping, whereas data engineers work with broader data systems. The roles may overlap in data collection but differ in scope and technical focus.

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Night Shift Python Scrapy jobs near you

Technical Operations Engineer Night Shift (US) Remote

Roy Talman and Associates, Inc.

Chicago, IL • On-site, Remote

Full-time, Other

Posted 23 days ago

Job description

TECHNICAL OPERATIONS ENGINEER NIGHT SHIFT (US) - REMOTE
Fully Remote • United States
Job Type
Full-time
Job Function & Responsibilities
We are seeking a talented and self-motivated Technical Operations Engineer (Night Shift) to join our growing technology team.
The position is part of a globally distributed team responsible for supporting our low-latency electronic trading systems and will include interactions with all functional areas within the firm
Bring passion for all things systems-related, from hardware and networking to software build, deployment, automation and tooling
Hours for this position are 11:00 pm - 7:00 am CST
Location
Employee must be an US citizen
Work location in the US is generally flexible and subject to approval
Education
Bachelor's degree in a technical area such as computer science, engineering or information science
Required Experience & Skills
Strong understanding of Linux
Ability to triage, prioritize and troubleshoot complex network and systems issues, ranging from low-level hardware to in-house software applications
Understanding of networking concepts such as DNS, HTTP, TCP, UDP, etc
Can demonstrate a high level of initiative and the ability to quickly build trust with trading and technology
Exceptional communication and collaboration skills
Experience building process management and monitoring toolkits leveraging scripting languages (python preferred)
Experience working with development to improve the operational stability and functionality of existing and new trading systems
Experience in configuring and managing low-latency, high-availability trading systems, working closely alongside developers, quants and traders
Experience coordinating, planning, and executing firm-wide changes within a global change management framework

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