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Data Scraping Jobs in New York (NOW HIRING)

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Role: Data Engineer Location- New York, NY JD- Must have finance (investment/capital markets ... Experience with web-scraping. Strong problem-solving skills and the ability to work independently ...

Staff Data Engineer

Manhattan, NY · On-site

$130 - $160/hr

As the first dedicated data engineering hire, you'll own the entire data architecture--from ingestion and scraping infrastructure to enrichment pipelines, data warehousing, and the datasets that feed ...

New

Deep expertise in web crawling technologies and advanced scraping (Scrapy or similar). * Experience in extracting structured/unstructured web data and SERP extraction. * Knowledge of proxy ...

Databricks Workflows, Airflow, managed connectors, web scraping * Data Quality & Observability: dbt tests, Elementary, Datadog * CI/CD & Version Control: Bitbucket Pipelines, contract and data ...

New

Identify and evaluate novel data sources, to develop unique and proprietary insights for institutional research teams and clients - including web scraping, geolocation data, satellite imagery, NLP on ...

You will act as a subject matter expert in prospecting techniques and tools used for information retrieval, data extraction, web-scraping, continuous process improvement, process automation, and ...

Lead Python Developer

New York, NY · On-site

$153K - $188K/yr

... scraping, data engineering, and automation using Selenium, BeautifulSoup, Scrapy, and Requests. - Schedule and optimize data workflows with Apache Airflow; integrate AI/ML models for advanced ...

Showing results 21-40

Data Scraping information

See New York salary details

$12

$32

$73

How much do data scraping jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data scraping in New York is $32.61, according to ZipRecruiter salary data. Most workers in this role earn between $20.76 and $39.95 per hour, depending on experience, location, and employer.

What is a data scraping?

A Data Scraping job involves extracting structured data from websites or online sources using automated tools or scripts. This data is then used for various purposes, such as market research, competitive analysis, or business intelligence. Professionals in this field typically use programming languages like Python or tools like Scrapy and BeautifulSoup to collect and organize data efficiently. However, ethical considerations and legal guidelines must be followed to ensure compliance with website policies and data protection laws.

What are the key skills and qualifications needed to thrive in data scraping, and why are they important?

To excel in Data Scraping, proficiency in programming languages such as Python or JavaScript, familiarity with web protocols, and understanding of data extraction methodologies are essential, often supported by a degree in computer science or a related field. Experience with web scraping tools like BeautifulSoup, Scrapy, or Selenium, and knowledge of APIs are commonly required; relevant certifications in data analysis or automation can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help professionals successfully tackle complex data challenges and collaborate with teams. These competencies are vital to reliably gather, process, and deliver valuable data while adhering to legal and ethical standards.

What are the typical challenges faced in data scraping, and how are they addressed?

Data Scraping professionals often encounter challenges such as dealing with anti-scraping measures, frequent changes to website structures, and managing large volumes of unstructured data. These obstacles require adaptability and creative problem-solving, as well as continuous learning to update scripts and leverage the latest tools. Team collaboration is common—data scrapers may work closely with data analysts, engineers, or business stakeholders to ensure the data collected meets the project's needs. Proactively communicating and staying current with industry best practices helps data scraping specialists efficiently navigate these challenges and deliver high-quality results.

What are the most commonly searched types of Data Scraping jobs in New York?

The most popular types of Data Scraping jobs in New York are:

Infographic showing various Data Scraping job openings in New York as of August 2026, with employment types broken down into 4% Internship, 75% Full Time, 8% Part Time, and 13% Contract. Highlights an 67% In-person, 4% Hybrid, and 29% Remote job distribution, with an average salary of $67,832 per year, or $32.6 per hour.

Director of Product, Web Protections (New York)

McAfee

Manhattan, NY • On-site

$256K - $269K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Role Summary

McAfee is seeking a visionary and customer-obsessed Director of Product Management, Web Protection & Browser Security to lead the strategy, roadmap, and execution of our Web Protections portfolio, including Web Advisor and other browser-based security experiences. This leader will define how McAfee protects consumers from evolving online threats across browsers, web platforms, and emerging AI-powered environments while creating seamless, trusted experiences that help people stay safe online without disruption.

Reporting into Product leadership, this role sits at the intersection of cybersecurity, consumer experience, browser technologies, artificial intelligence, and platform strategy.

This is a Hybrid role based in one of our hub locations i.e. San Jose, CA; New York, NY; Frisco, TX; Newport Beach, CA. We are only considering candidates who are currently in a commutable distance to these locations at this time and are not offering relocation assistance.

Position DetailsAbout The RoleOwn the Web Protections Portfolio
  • Set the vision, strategy, roadmap, and operating priorities for McAfee’s Web Protections product portfolio, including Web Advisor and related browser-based protection experiences.
Create a Better-Together Companion Experience
  • Define how the McAfee app and browser extensions work together across state, signals, data, and UX patterns to create a frictionless, unified customer journey.
Translate Web Threats Into Trusted UX
  • Partner with Design, Content, Research, and Engineering to convert complex and invisible web risks into calm, clear, non-intrusive experiences that help consumers understand what is happening and what to do next.
Lead Browser And Platform Strategy
  • Navigate the evolving browser ecosystem—including Chromium, WebExtensions APIs, Safari and Firefox architectures, web protocols, content filtering mechanics, and privacy policy changes to guide durable product strategy.
Protect Users From Emerging AI And Agentic Risks
  • Anticipate how consumers will use generative AI and autonomous agents through the browser, then shape protections against emerging risks such as prompt injection, malicious autonomous agents, data scraping, automated scams, and other AI-driven web threats.
Turn R&D Into Consumer-Ready Products
  • Partner deeply with Advanced R&D, threat research, data science, and engineering teams to translate technical security research and behavioral model data into a prioritized roadmap that delivers customer value.
Evaluate Strategic Partnerships
  • Identify, evaluate, and help execute technology partnerships and integrations with browser vendors, platform operators, data providers, or protection ecosystem partners that extend McAfee’s reach and differentiation.
Communicate Strategy With Executive Clarity
  • Present ecosystem strategies, technical frameworks, trade-offs, product roadmaps, and measurable business/customer outcomes to executive leadership and cross-functional stakeholders.
About You
  • 10+ years of product management experience, including leadership responsibility for consumer technology, cybersecurity, SaaS, browser-based products, or related technology platforms.
  • Deep understanding of web technologies, browser ecosystems, extension platforms, web protocols, privacy frameworks, and online security trends.
  • Proven success defining product vision, strategy, roadmaps, and execution for large-scale products that deliver measurable customer and business outcomes.
  • Experience translating complex technical capabilities, security risks, and research innovations into intuitive, customer-centric product experiences.
  • Demonstrated ability to partner effectively across Engineering, Design, Research, Data Science, Threat Research, and other cross-functional teams in a highly matrixed environment.
  • Proven people leader with experience building, developing, and inspiring high-performing product teams, establishing a culture of accountability, innovation, and results.
  • Demonstrated success launching and scaling innovative 0-to-1 products or platform capabilities that delivered significant, measurable business impact, customer value, and market differentiation.
  • Strong understanding of AI technologies and practical experience leveraging AI tools to accelerate product development, improve decision-making, increase team effectiveness, and drive productivity across the product lifecycle.
  • Highly data-fluent leader who is comfortable operating at both the strategic and detailed levels, using analytics, customer insights, experimentation, and business metrics to make informed decisions and drive specific, measurable outcomes.
Company Overview

McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.

Company Benefits And Perks
  • Bonus Program
  • 401k Retirement
  • Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
  • Paid Parental Leave
  • Support and Community Involvement
  • 14 Paid Company Holidays
  • Unlimited Paid Time Off for Exempt Employees
  • 96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year

We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Pay Range

The anticipated compensation for this position is USD $141,680.00/Yr. - USD $232,760.00/Yr. depending on experience and qualifications.

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