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Data Scraping Jobs in Illinois (NOW HIRING)

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Responsibilities include data mining, web scraping, cleaning and organizing the data into both SQL and NoSQL databases. Further responsibilities will include building efficient APIs to communicate ...

Senior SEO/CRO Strategist

Chicago, IL · On-site +1

$80K - $95K/yr

Experience with data scraping, spreadsheet wizardry or other productivity hacks * Samples of past campaign strategy, execution and outcomes Compensation * Salary range: $80K - $95K * Bonuses 3 times ...

Corp Data Analyst II

Downers Grove, IL · On-site

$65K - $95K/yr

Experience in web-scraping strongly preferred * Proficiency in SQL and data manipulation tools (e.g., Python, R) preferred * Self starter; intellectual curiosity * Foundational level skills in ...

Experience in web-scraping strongly preferred * Proficiency in SQL and data manipulation tools (e.g., Python, R) preferred * Self starter; intellectual curiosity * Foundational level skills in ...

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Data Scraping information

See Illinois salary details

$9

$26

$58

How much do data scraping jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data scraping in Illinois is $26.17, according to ZipRecruiter salary data. Most workers in this role earn between $16.66 and $32.06 per hour, depending on experience, location, and employer.

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 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 most commonly searched types of Data Scraping jobs in Illinois? The most popular types of Data Scraping jobs in Illinois are:
Infographic showing various Data Scraping job openings in Illinois as of August 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $54,443 per year, or $26.2 per hour.

Data Engineer

DevSelect

Chicago, IL • On-site, Remote

$118K - $141K/yr

Full-time

Re-posted 4 days ago


Job description

Title: Data Engineer
Location: Chicago, Ill
Openings: 1
Type: Permanent hire

The Client is searching for an experienced data engineer. This person will be responsible for building and managing an array of data acquisition services. The Ideal candidate will demonstrate experience with software development lifecycles, working with cloud architecture, and development within a software team.
Responsibilities include data mining, web scraping, cleaning and organizing the data into both SQL and NoSQL databases. Further responsibilities will include building efficient APIs to communicate the data and managing continual data ingestion.
Required Job Qualifications:
•At least 4 years experience with python development and database management in a Linux environment
•Expertise in relational database architecture and efficient SQL. Experience with managing databases in Azure is a plus as well as Neo4j graph databases.
•Development of RESTful APIs
•Distributed computing (Spark or similar)
•Ability to provide guidance on data security issues
•Writing and maintaining clear and reproducible documentation for all services and projects will be required.
•Strong general communication and interpersonal skill
•Capable of providing guidance to junior developers
Preferred Job Qualifications:
•Experience in machine learning and general data science
•Data visualization
•Understanding of the healthcare industry
•Azure, Google, AWS or other cloud-platform experience
•SDLC Tools & Processes: JIRA, Docker, Git-flow, Puppet, or similar
Education Requirements:
•B.Sc. in Computer Science, Engineering, or related field.