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Manager Web Scraping Jobs in New York (NOW HIRING)

GPTZero

Investigations Engineer - NYC

New York, NY · On-site

$140K - $220K/yr

... management, ideally PostgreSQL * Data analysis and visualization to analyze results and create plots that communicate findings to stakeholders. * Experience with web scraping and search at scale ...

Hedge Fund

Data Platform Engineering Lead

Manhattan, NY · On-site

$150 - $200/hr

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

Tavily Inc

DevOps Engineer

New York, NY · On-site

$57.75 - $79/hr

About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API ... Managing Kubernetes clusters across multiple environments and regions * Owning infrastructure as ...

Willis Towers Watson

WAF Engineering Lead

Manhattan, NY · On-site

$120 - $160/hr

... scraping, Layer 7 DDoS attacks and other web-based threats. * Develop, maintain and enhance custom WAF rules, managed rule exclusions, rate-limiting policies and bot protection controls. * Support ...

Willis Towers Watson

WAF Engineering Lead

Manhattan, NY · On-site

$112K - $147K/yr

... scraping, Layer 7 DDoS attacks and other web-based threats. * Develop, maintain and enhance custom WAF rules, managed rule exclusions, rate-limiting policies and bot protection controls. * Support ...

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Manager Web Scraping information

What is a Manager Web Scraping?

A Manager Web Scraping is a professional responsible for overseeing teams and projects that extract data from websites using automated tools and scripts. They coordinate the development and maintenance of web scraping systems, ensure data quality, and handle technical challenges like site changes or anti-scraping measures. This role also involves managing compliance with legal and ethical standards related to web data extraction, as well as collaborating with data analysts and engineers to deliver actionable insights for the organization.

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

To thrive as a Manager Web Scraping, you need advanced programming skills (Python, JavaScript), a strong understanding of data extraction techniques, and experience managing data engineering projects, often supported by a computer science degree or equivalent experience. Familiarity with web scraping frameworks (like Scrapy or BeautifulSoup), headless browsers, APIs, and cloud-based solutions is essential, along with knowledge of relevant legal and ethical guidelines. Strong leadership, problem-solving abilities, and effective communication skills help in coordinating teams and addressing complex data challenges. These competencies are vital for ensuring efficient, scalable, and compliant data collection processes that drive business insights.

What are some common challenges faced by a Manager Web Scraping, and how can they be addressed?

A Manager Web Scraping often encounters challenges such as dealing with frequent website structure changes, managing large-scale data extraction efficiently, and ensuring compliance with legal and ethical standards. Addressing these requires staying updated on web technologies, implementing robust monitoring and alerting systems, and developing adaptable scraping strategies. Additionally, fostering collaboration with legal teams and data engineers can help ensure smooth operations and minimize risks. Regular training and knowledge sharing within the team can also be invaluable for overcoming evolving technical obstacles.

What is the difference between Manager Web Scraping vs Data Analyst?

AspectManager Web ScrapingData Analyst
Primary FocusOverseeing web scraping projects, managing scraping teams, ensuring data qualityAnalyzing data sets, generating reports, interpreting data insights
Skills & CertificationsWeb scraping tools, programming (Python, SQL), project managementStatistical analysis, data visualization, Excel, SQL
Work EnvironmentTech teams, data engineering, project managementBusiness units, data teams, reporting environments
Industry UsageWeb data collection, market research, e-commerceBusiness intelligence, marketing, finance

While both roles involve working with data, the Manager Web Scraping primarily oversees the technical process of extracting data from websites, managing teams, and ensuring data quality. In contrast, a Data Analyst focuses on interpreting data, creating reports, and providing insights to support business decisions. Both roles require technical skills, but their core responsibilities and work environments differ.

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

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

What cities in New York are hiring for Manager Web Scraping jobs?

Cities in New York with the most Manager Web Scraping job openings:

Manager Web Scraping jobs near you

Investigations Engineer - NYC

GPTZero

New York, NY • On-site

$140K - $220K/yr

Full-time

Posted 25 days ago

Job description

GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we're building a category-defining company at the intersection of AI and information integrity.
Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute.
What we're looking for
Ready to work at the intersection of investigative journalism and AI? We're looking for software engineers to help us find and publish groundbreaking, front-page investigations on the rise and threat of AI slop. You'll work on building and running the research engine that we used to find undisclosed hallucinations and AI-generated content on the web. Our work so far has produced widely covered reports examining published output from the world's top consulting firms, and academic publishing venues, earning front-page coverage in the Financial Times, Forbes, The Telegraph, Bloomberg, The Times of India, and other notable media. The ideal candidate is adept at building pipelines for processing web-scale content, skilled at creating polished reports and visuals, and has a strong instinct for recognizing newsworthy findings.
What you'll contribute
  • Use our AI detection and hallucination detection models to find compelling examples of AI slop on the internet and in publishing
  • Synthesize data into well-written prose, compelling visualizations and interactive user experiences (vibecoding permitted)
  • Build search engine query generators and targeted crawlers for document collection on the web.
  • Build automations to monitor social feeds and generate leads
  • Craft machine learning ranking and classification systems to detect documents that have fabrications using LLMs.
  • Create data processing pipelines that can operate robustly at scale
  • Help improve our models based on how they perform on new domains and investigations we pursue
Qualifications
  • Ability to tell creative and compelling stories using data
  • 2+ YOE in Python for developing resilient data pipelines and long-running jobs.
  • 1+ YOE in SQL for data management, ideally PostgreSQL
  • Data analysis and visualization to analyze results and create plots that communicate findings to stakeholders.
  • Experience with web scraping and search at scale, including search, LLM, OCR, and data crawling tools
  • Experience with basic cloud infrastructure (e.g. AWS)
  • Entrepreneurial spirit in being able to bootstrap different approaches of data acquisition, speaking with stakeholders and identifying newsworthy content.
  • Bonus
    • Ability to build / vibecode webpages to display results
    • Applied ML for ranking and calibration.
    • Infrastructure-as-code and container tooling experience.
    • OSINT and evidence verification experience.
    • Ability to find data when others cannot
    • Experience working with media and journalists.

Who you'll be joining
Our Team
You will be working directly with
  • Alex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in ML, won Best ML Hack at Stanford's 2019 and 2021 Hackathons
  • George (our AI research lead) PhD from University of Toronto and ex-AWS research.
  • Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the GPTZero brand.

Additionally, you will be working with an experienced (eg. ex-Google, Meta, Microsoft, Bloomberg ML, Uber, Vector, MILA), diverse (eg. an engineering team with both Y-combinator and Obama scholarship recipients, a designer with art featured in the Met), and driven (eg. an operator who has scaled a company to 100M+ revenue and is committed to doing it again) group of individuals, described by one investor as one of the strongest founding teams seen in their career.
Together, we are committed to making a permanent impact on the future of writing, and on humanity
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At GPTZero, our recruiting team is involved in every step of the hiring process. We use AI-based tools to help us to accelerate candidates at the resume review stage by marking when candidates met certain key criteria. These tools are never the final say in a hiring decision - humans are.

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