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Python Scraping Jobs in New York (NOW HIRING)

talentpluto

Senior Full Stack Engineer

New York, NY · On-site

$250K - $260K/yr

The stack is modern and intentionally lean (TypeScript and React, some Python, Postgres, Temporal ... Bonus: experience with ETL / data movement, browser automation or scraping, AWS, or agentic ...

talentpluto

Senior Full Stack Engineer

New York, NY · On-site

$250K - $260K/yr

The stack is modern and intentionally lean (TypeScript and React, some Python, Postgres, Temporal ... Bonus: experience with ETL / data movement, browser automation or scraping, AWS, or agentic ...

talentpluto

Senior Full Stack Engineer

New York, NY · On-site

$250K - $260K/yr

The stack is modern and intentionally lean (TypeScript and React, some Python, Postgres, Temporal ... Bonus: experience with ETL / data movement, browser automation or scraping, AWS, or agentic ...

talentpluto

Senior Full Stack Engineer

New York, NY · On-site

$250K - $260K/yr

The stack is modern and intentionally lean (TypeScript and React, some Python, Postgres, Temporal ... Bonus: experience with ETL / data movement, browser automation or scraping, AWS, or agentic ...

Royal Bank of Canada

Sr. Data Scientist

New York, NY · On-site

... teams and clients - including web scraping, geolocation data, satellite imagery, NLP on ... Expert working knowledge of Python and R , with strong overall coding abilities. * Expert-level ...

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Python Scraping information

What are some common challenges faced by Python Scraping professionals, and how can they be addressed?

Python Scraping professionals often encounter obstacles such as website anti-scraping measures, dynamic content loading with JavaScript, and frequent changes in website structures. Overcoming these challenges typically involves using tools like Selenium or Playwright for dynamic pages, rotating proxies and user agents to avoid detection, and writing adaptable, modular code to quickly update scrapers when site layouts change. Staying up to date with the latest libraries and best practices is vital for efficiency and compliance with legal and ethical standards.

What are the key skills and qualifications needed to thrive as a Python Scraping Specialist, and why are they important?

To thrive as a Python Scraping Specialist, you need strong proficiency in Python programming, understanding of web protocols (HTTP, HTML, CSS), and experience with libraries such as BeautifulSoup, Scrapy, or Selenium. Familiarity with version control systems like Git and knowledge of data storage formats (JSON, CSV, SQL) are also commonly required. Problem-solving, attention to detail, and effective communication are valuable soft skills in this role. These skills ensure efficient data extraction, compliance with website policies, and the ability to deliver actionable insights from web data.

What is the difference between Python Scraping vs Data Analyst?

AspectPython ScrapingData Analyst
Required SkillsPython programming, web scraping libraries (BeautifulSoup, Scrapy)Data analysis, SQL, Excel, statistical skills
Work EnvironmentTechnical, coding-focused, often remoteBusiness-focused, reporting, presentations
Industry UsageWeb data extraction, research projectsBusiness insights, decision-making
CertificationsPython certifications, web scraping coursesData analysis certifications (e.g., CAP, Microsoft Certified)

Python Scraping involves writing code to extract data from websites, focusing on programming skills and technical tools. Data Analysts interpret and visualize data for business insights, requiring analytical and statistical skills. While both roles work with data, Python Scraping is more technical and coding-intensive, whereas Data Analysts focus on analyzing and presenting data for decision-making.

What is Python scraping?

Python scraping refers to the process of using the Python programming language to extract data from websites or online sources. It typically involves sending HTTP requests to webpages, parsing the HTML or other content, and collecting specific information for analysis or storage. Popular Python libraries for web scraping include BeautifulSoup, Scrapy, and Requests. This technique is widely used in data analysis, research, and business intelligence, but it's important to respect website terms of service and legal guidelines when scraping data.
What are popular job titles related to Python Scraping jobs in New York? For Python Scraping jobs in New York, the most frequently searched job titles are:
What job categories do people searching Python Scraping jobs in New York look for? The top searched job categories for Python Scraping jobs in New York are:
Python Scraping jobs near you
Infographic showing various Python Scraping job openings in New York as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior Full Stack Engineer

talentpluto

New York, NY • On-site

$250K - $260K/yr

Full-time

Posted 18 days ago

Job description

Location: New York, NY
Work Model: Hybrid
Industry: B2B SaaS / AI-powered data and automation software
Compensation: $210K base, ~$250K-$260K total compensation including equity
About the Company
Our partner is an early-stage, venture-backed B2B software startup building AI-powered products that move and transform data and automate complex workflows. The company recently closed its Series A (roughly $15M raised to date) and grew revenue nearly 4x in the first half of the year. It is a fast-moving environment with plenty of greenfield problems to solve and real influence over the product.
The Opportunity
As a Senior Full Stack Engineer, you will work across the stack, spanning frontend, backend, and the data pipelines and agentic/AI workflows at the core of the product. This is a backend-leaning, product-focused role: you will take customer feedback, help shape product direction, and ship features end to end rather than simply working through a ticket queue. The stack is modern and intentionally lean (TypeScript and React, some Python, Postgres, Temporal for durable workflows, a monorepo with no microservices), so you can move quickly on genuinely hard problems.
You will join a small, senior engineering team during a period of rapid growth, with meaningful equity and a direct line to the founders. Occasional customer conversations come with the early stage, but the role is primarily focused on building.
Responsibilities
  • Build and ship features across the full stack, with an emphasis on backend systems
  • Design and maintain data pipelines and data-movement workflows
  • Contribute to agentic and AI-driven product capabilities
  • Take customer feedback and help shape product direction, not just execute tickets
  • Collaborate closely with a small, senior team in a fast-moving codebase
Requirements
  • 5-7 years of full stack engineering experience (4+ considered on the lower end)
  • Strong proficiency in TypeScript and React, with some Python
  • Product-minded engineer who can form opinions and contribute to product direction
  • Demonstrable use of AI tools in your day-to-day workflow, with the ability to speak specifically to how you apply them
  • Startup experience preferred; candidates from later-stage startups are welcome if they can articulate why they want an early-stage environment
  • Able to work onsite in New York City five days per week
  • Bonus: experience with ETL / data movement, browser automation or scraping, AWS, or agentic infrastructure

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