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Web Scraping Engineer Jobs in Illinois (NOW HIRING)

DevSelect

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Title: Data Engineer Location: Chicago, Ill Openings: 1 Type: Permanent hire The Client is ... Responsibilities include data mining, web scraping, cleaning and organizing the data into both SQL ...

Jorie AI

Software Engineer

Oak Brook, IL · On-site

$90K - $120K/yr

Software Engineer Job Overview: We are seeking a Python Senior Software Engineers to build and ... Automate web-based tasks (e.g., web scraping, form submissions, browser interactions) using ...

Jorie AI

Software Engineer

Oak Brook, IL · Remote

Software Engineer Job Overview: We are seeking a Python Senior Software Engineers to build and ... Automate web-based tasks (e.g., web scraping, form submissions, browser interactions) using ...

Varsity Tutors

Python Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Normal, IL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Schaumburg, IL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Evanston, IL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Chicago, IL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Web Scraping Engineer information

What does a web scraping engineer do?

A Web Scraping Engineer designs and develops software tools or scripts to automatically extract data from websites. They work with programming languages like Python and use libraries such as BeautifulSoup or Scrapy to gather and process web data efficiently. In addition to building scrapers, they also handle challenges such as dealing with website restrictions, CAPTCHAs, and ensuring compliance with legal and ethical guidelines. Their work is often used for market research, data analysis, or feeding information into business applications.

What are some common challenges faced by web scraping engineers when extracting data from dynamic websites?

Web Scraping Engineers often encounter challenges such as navigating websites that use JavaScript to load content dynamically, dealing with anti-bot measures like CAPTCHAs or IP blocking, and ensuring data accuracy as website structures frequently change. To address these issues, engineers typically use headless browsers, rotating proxies, and robust error handling strategies. Staying up-to-date with the latest web technologies and adapting scripts proactively are essential for long-term success in this role.

What are the key skills and qualifications needed to thrive as a web scraping engineer, and why are they important?

To thrive as a Web Scraping Engineer, you need strong programming skills (especially in Python), knowledge of data extraction techniques, and familiarity with web protocols and HTML structure. Expertise with tools like Scrapy, BeautifulSoup, Selenium, and experience with APIs or anti-bot evasion techniques is typically required. Attention to detail, problem-solving, and strong analytical thinking are essential soft skills in this field. These skills ensure efficient, ethical, and reliable extraction of data from diverse web sources while navigating technical and legal complexities.

What is the difference between Web Scraping Engineer vs Data Engineer?

AspectWeb Scraping EngineerData Engineer
Primary FocusDeveloping and maintaining web scraping tools to extract data from websitesBuilding and managing data pipelines and infrastructure for data storage and processing
Skills & CertificationsPython, APIs, HTML, CSS, web scraping libraries (BeautifulSoup, Scrapy)SQL, ETL tools, cloud platforms, programming (Python, Java)
Work EnvironmentTech companies, data-driven startups, research projectsLarge enterprises, data warehouses, cloud environments
Industry UsageData collection for analytics, research, competitive analysisData integration, analytics, machine learning pipelines

While both roles involve working with data, a Web Scraping Engineer specializes in extracting data from websites using scraping tools, whereas a Data Engineer focuses on building data pipelines and infrastructure for storing and processing large datasets. The roles often overlap in skills like Python programming but serve different core functions within data ecosystems.

What are popular job titles related to Web Scraping Engineer jobs in Illinois?

For Web Scraping Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Web Scraping Engineer jobs in Illinois look for?

The top searched job categories for Web Scraping Engineer jobs in Illinois are:

What cities in Illinois are hiring for Web Scraping Engineer jobs?

Cities in Illinois with the most Web Scraping Engineer job openings:

Web Scraping Engineer jobs near you

Python AI Engineer (Local to Chicago Only)

Solution Partners, Inc.

Chicago, IL • On-site

Other

Re-posted 2 days ago

Job description

We are only considering candidates based in Chicago. First interview will be on site in the Chicago office with a technical assessment. Please do not apply if this first phase is not possible.

We are looking for an AI Engineer to design, develop, and deploy an intelligent, multilingual chatbot that helps users track their parcels seamlessly. The chatbot will integrate with Snowflake for data retrieval, leverage APIs or web scraping to fetch tracking updates from external systems and run as a containerized solution on Azure. We are seeking to hire an engineer who is passionate about building scalable, AI-powered applications. You’ll work at the intersection of backend development and AI integration, leveraging modern tools like LLMs, MongoDB, Docker, and best coding practices. You’ll be responsible for writing clean, efficient, and maintainable code while working closely product teams to deploy intelligent systems. We need a proactive, self-motivated leader who thrives in a dynamic environment.

Key Responsibilities

  • Design, develop, and maintain an AI-powered chatbot capable of handling multi-lingual conversations.
  • Implement Retrieval-Augmented Generation (RAG) workflows to improve response accuracy and reduce unnecessary LLM calls
  • Integrate AI and LLM tools (e.g., OpenAI, LangChain, Hugging Face) into real-world applications
  • Integrate chatbot with Snowflake to fetch tracking data using tracking IDs.
  • Develop web scraping and API connectors to external parcel tracking systems
  • Deploy and manage chatbot services on Azure using Docker containers.
  • Implement vector databases (e.g., Pinecone, FAISS, Chroma) for efficient context management and response caching.
  • Ensure code quality through best practices: clean code, testing, and code reviews.

Must-Have Skills

  • Programming: Strong proficiency in Python and relevant libraries (e.g., LangChain, FastAPI, BeautifulSoup, Requests
  • AI Tools & Frameworks: Experience with OpenAI, Hugging Face, or similar AI APIs
  • RAG Implementation: Hands-on experience integrating LLMs with vector databases and retrieval pipelines
  • NLP: Strong understanding of prompt design, token usage, embeddings, and language model
  • Data Integration: Experience connecting with Snowflake or similar dataware houses.
  • Deployment: Knowledge of Docker and Azure container deployments.
  • Web Scraping & APIs: Experience building scrapers or integrating with third-party APIs
  • Version Control: Familiarity with Git and CI/CD pipelines
  • Strong communication skills — able to explain complex AI concepts in simple terms
  • Collaborative attitude and openness to feedback

Nice-to-Have Skills

  • Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex)
  • Exposure to multi-lingual NLP models or translation APIs

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