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Telecommute Python Web Scraping Jobs in Queens, NY

... 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 ...

SEO Engineer

Brooklyn, NY ยท On-site

$122K/yr

Role permits full-time telecommuting from anywhere in the U.S. Position requires less than 5% (i.e ... including Python or PHP; * 3 Years of experience using Relational Databases including MySQL or ...

Research Crawling Engineer

New York, NY ยท On-site +1

$100K/yr

This role encompasses distributed systems, scraping infrastructure, and data pipelines, focusing on ... Go, Rust, Python, Java, or C++ . * Proven experience in building web crawlers or large-scale data ...

This role encompasses distributed systems, scraping infrastructure, and data pipelines, focusing on ... Go, Rust, Python, Java, or C++ . * Proven experience in building web crawlers or large-scale data ...

Sr Software Engineer

New York, NY ยท On-site

$134K - $176K/yr

Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Master ... Python frameworks like Flask and Apache Spark (2 years) 4. Apache Spark - Large-scale data ...

Showing results 41-60

Telecommute Python Web Scraping information

See Queens, NY salary details

$46

$60

$67

How much do telecommute python web scraping jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for telecommute python web scraping in Queens, NY is $60.40, according to ZipRecruiter salary data. Most workers in this role earn between $55.19 and $65.19 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a telecommute Python web scraping specialist?

To thrive as a Telecommute Python Web Scraping Specialist, you need strong Python programming skills, experience with web scraping libraries like BeautifulSoup and Scrapy, and a solid understanding of HTML, CSS, and data formats such as JSON and CSV. Familiarity with version control systems like Git, cloud platforms, and knowledge of handling CAPTCHAs or anti-bot systems are typically required. Attention to detail, problem-solving abilities, and effective remote communication are crucial soft skills for this role. These competencies ensure efficient data extraction, compliance with legal and ethical standards, and smooth collaboration in a remote work environment.

What are common challenges faced when working remotely as a Python web scraping specialist, and how can they be addressed?

Remote Python web scraping specialists often encounter challenges like managing asynchronous communication with team members, handling inconsistent website structures, and ensuring compliance with website terms of service. To address these, it's important to establish clear communication channels (such as Slack or regular video calls), maintain detailed documentation, and use robust scraping frameworks that handle website changes gracefully. Additionally, staying updated on legal and ethical guidelines for web scraping is crucial to avoid potential pitfalls.

What is the difference between Telecommute Python Web Scraping vs Telecommute Data Analyst?

AspectTelecommute Python Web ScrapingTelecommute Data Analyst
Required SkillsPython, web scraping libraries, data extractionData analysis, SQL, Excel, visualization tools
Work EnvironmentRemote, independent, technicalRemote, collaborative, analytical
Industry UsageWeb data collection, research, market analysisBusiness insights, reporting, decision-making

While both roles often work remotely and require analytical skills, Telecommute Python Web Scraping focuses on extracting data from websites using Python, whereas Telecommute Data Analysts interpret and visualize data to support business decisions. The roles complement each other but serve different primary functions in data workflows.

What is a telecommute Python web scraping job?

Telecommute Python Web Scraping jobs involve working remotely to develop and maintain scripts or applications that extract data from websites using the Python programming language. Professionals in these roles use libraries such as BeautifulSoup, Scrapy, or Selenium to automate the collection of web data for analysis, business intelligence, or research purposes. The remote aspect allows workers to perform their tasks from any location with internet access, collaborating with teams or clients online. These jobs typically require knowledge of web protocols, HTML, and ethical scraping practices.
What cities near Queens, NY are hiring for Telecommute Python Web Scraping jobs? Cities near Queens, NY with the most Telecommute Python Web Scraping job openings:

Director, AI Engineering & Automation

Nasdaq

New York, NY โ€ข Hybrid

$134K - $248K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Job description

As a Director, AI Engineering & Automation, you will be accountable for leading the execution of the AI strategy within our Corporate Finance Division. This role requires a proven ability to set direction, drive end-to-end delivery, and deliver measurable business impact in complex, regulated environments.


You'll thrive in this position if you bring executive presence, strategic clarity, and the ability to mobilize diverse teams towards a common vision-combining deep expertise in AI and financial systems with a passion for transformative innovation.

Key Responsibilities

  • Design and implement solutions EAD the execution of the AI strategy for Corporate Finance, , ensuring alignment with Nasdaq's global objectives and delivering significant business value.

  • Inspire, develop, and empower a team of AI professionals to deliver excellence at scale, providing leadership, mentorship, and accountability for outcomes and measurable impact.

  • Drive operational discipline and end-to-end delivery execution by overseeing the development of Generative AI solutions and AI-powered automations that enhance decision-making and efficiency, ensuring code quality, performance, and reliability.

  • Be a thought leader in the team's adoption of best practices in software development.

  • Collaborate with senior stakeholders across finance and technology to identify opportunities for AI-driven transformation and ensure alignment on strategic priorities.

  • Collaborate effectively within geographically dispersed teams

  • Champion innovation and best practices in AI/ML, staying at the forefront of industry developments and guiding technical direction for model development, data curation, and scalable solution delivery.

  • Lead large, cross-functional delivery teams with persuasive communication, resource allocation expertise, and the ability to manage complex risks that impact long-term departmental success.


Required Qualifications

  • Extensive leadership experience in AI solution delivery, technology execution, or a comparable role within finance or fintech organizations.

  • Strong proficiency in Python, with a good understanding of its ecosystem and best practices.

  • Proficiency with AWS and cloud technologies.

  • Experience of infrastructure-as-code tools like Terraform

  • Knowledge with Visual Studio Code and other modern development environments

  • Deep understanding of Generative AI concepts, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and their practical applications to deliver solutions to real-world business challenges.

  • Proficiency with version control systems, particularly Git.

  • Strong executive presence with exceptional communication skills and the ability to influence senior stakeholders, translating complex technical concepts for diverse audiences.

  • Track record of building, and leading high-performing delivery teams across functions delivering impactful AI solutions on time and at scale.

  • In-depth knowledge of finance-related processes, financial data, accounting systems, and regulatory landscapes.

  • Proficiency in Python and agile software development methodologies, with superior delivery management and strategic thinking abilities.


Preferred Qualifications

  • Bachelor's degree in Data Science, Computer Science, or related field; advanced degree (e.g., MBA) or equivalent senior leadership training a plus.

  • 10+ years of experience in development, AI/ML solution delivery, or software development, with experience utilizing LLMs, RAG, RPA, or web-scraping valued.

  • Prior experience working within or supporting Corporate Finance organizations in capital markets or regulated industries.

  • Familiarity with Spec-Driven Development Methodologies

  • Experience with RPA (e.g., Automation Anywhere, Blue Prism) a plus.


This position will be located in New York and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.

What We Offer

We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success.

The base pay range for this role is $134,000 - $248,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.

Nasdaq's programs and rewards are intended to allow our employees to:

  • Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
  • Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
  • Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
  • Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
  • Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities

For more information, visit Nasdaq Benefits & Rewards Career page.