ZipRecruiter

Log In

1

Scraping Jobs in Calgary, AB (NOW HIRING)

Viridien

Machine Learning Engineer

Calgary, AB · On-site

Web Scraping * Model Development Responsibilities: * Design machine learning systems * Collaborate with stakeholders and technology team to efficiently develop AI solutions. * Research and implement ...

WinSport

Ice Technician

Calgary, AB · On-site

Perform daily edging, chipping, scraping, flooding, and patch repairs. * Monitor and maintain proper ice temperature, humidity, and refrigeration settings. * Adjust ice conditions based on sport ...

All JobsScraping JobsScraping Jobs in Calgary, AB

Scraping information

See Calgary, AB salary details

$30K

$70.1K

$145.5K

How much do scraping jobs pay per year?

As of Aug 21, 2026, the average yearly pay for scraping in Calgary, AB is $70,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $78,000.00 per year, depending on experience, location, and employer.

What is the difference between Scraping vs Data Analyst?

AspectScrapingData Analyst
Required CredentialsBasic programming skills, knowledge of web technologiesDegree in statistics, mathematics, or related field; analytical skills
Work EnvironmentPrimarily technical, focused on coding and data extractionBusiness or corporate setting, analyzing data for insights
Employer & Industry UsageUsed across tech, marketing, research industries for data collectionUsed in finance, marketing, healthcare for data interpretation
Search & Comparison IntentUnderstanding data extraction methods, tools, and techniquesInterpreting data, generating reports, making data-driven decisions

While both roles involve working with data, Scraping focuses on extracting data from websites using programming skills, whereas Data Analysts interpret and analyze data to support business decisions. Scraping is more technical and coding-oriented, while Data Analysts require analytical and statistical expertise.

What is job scraping?

Job scraping involves using automated tools or scripts to collect job postings and related data from websites. It requires knowledge of programming languages like Python and familiarity with web scraping libraries such as BeautifulSoup or Scrapy, often to analyze market trends or compile job listings efficiently.

What are popular job titles related to Scraping jobs in Calgary, AB?

For Scraping jobs in Calgary, AB, the most frequently searched job titles are:

What job categories do people searching Scraping jobs in Calgary, AB look for?

The top searched job categories for Scraping jobs in Calgary, AB are:

What cities near Calgary, AB are hiring for Scraping jobs?

Cities near Calgary, AB with the most Scraping job openings:

Scraping jobs near you
Infographic showing various Scraping job openings in Calgary, AB as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, 2% Contract, 1% Nights, and 6% Summer. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $70,079 per year, or $33.7 per hour.

Machine Learning Engineer

CGG Services (Canada) Inc.

Calgary, AB • On-site

$90 - $120/hr

Other

Re-posted 15 days ago

Job description

Machine Learning Engineer

Location: Calgary, AB, Canada. Full-time.

Company Description

Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.

Job Description

Viridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. You will develop machine learning models and retrain systems, contributing ideas and driving innovation to maintain our outstanding leadership position.

Preferred Education
  • Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.
Key Skills & Competencies
  • Passion and aptitude for programming and technology
  • Enthusiasm for analytical and problem-solving challenges
  • Strong enterprise project experience with Machine Learning and AI
  • Strong programming skills in C, C++, R, Java, Python
  • Good experience with Large Language Model technologies
  • Experience within Data Engineering/Data Structuring
  • Experience creating Machine Learning Algorithms and/or Libraries
  • Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
  • Proficiency to design, build, test, and support innovative solutions
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects
  • Effective communication skills to keep all stakeholders regularly informed on progress
  • Drive to innovate and have fun through collaboration and generation of ideas which lead to enhancements of our workflows
  • Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction
Other Skills/Experience
  • Data Visualization
  • Predictive Analysis
  • Statistical Modeling
  • Data Mining
  • Clustering & Classification
  • Data Analytics
  • Quantitative Analysis
  • Web Scraping
  • Model Development
Responsibilities
  • Design machine learning systems
  • Collaborate with stakeholders and technology team to efficiently develop AI solutions
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Provide support to achieve successfully deployed models at conclusion of projects
  • Plan and manage data analysis workflows
  • Create charts, graphs, maps, and data visualization tools to provide an accessible way to see/understand trends, patterns, outliers, in data
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experimentsTrain and retrain systems when necessary
  • Extend existing ML libraries and frameworks
Equal Employment Opportunity

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

#J-18808-Ljbffr

Apply