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Data Extraction Jobs in Alberta (NOW HIRING)

Spgi

Senior Data Scientist

Calgary, AB

CA$90K - CA$160K/yr

The Collection Platforms & AI team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing ...

xMentium

Senior Full Stack Developer

Calgary, AB · On-site

In addition to automation of data extraction at scale, we emphasize quality with a specialized human-in-the-loop interface, ensuring accuracy of extractions before delivering data downstream. You'll ...

Deloitte

Data Science Manager

Calgary, AB · On-site

As a key part of this process, you will make most appropriate model selection and ensure quality and delivery of statistical and AI/ML models, computations, and data ETL by the data science team, to ...

TELUS

Data Scientist

Edmonton, AB

Establish scalable ETL/ELT processes that efficiently ingest, transform, and prepare data from diverse sources for analytics and reporting. Build and manage GCP resources using Pulumi and YAML ...

TELUS

Data Scientist

Calgary, AB

Establish scalable ETL/ELT processes that efficiently ingest, transform, and prepare data from diverse sources for analytics and reporting. Build and manage GCP resources using Pulumi and YAML ...

10 Percent Recruiting Ltd.

Data Engineer

Edmonton, AB · Hybrid

Build and maintain ETL pipelines that harvest data from operational systems and load the data into the warehouse. Work with Business Analysts and Developers to ensure the warehouse contains the ...

ShyftLabs

Data Engineer

Calgary, AB

Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using cloud services such as GCP Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer . * Architect and ...

TELUS

L3 Data Management (GCP)

Calgary, AB · On-site +1

Support the development and maintenance of ETL (Extract, Transform, Load) processes and integration workflows to ingest, process, and transform data from various sources * Participate in CI/CD ...

TELUS

L3 Data Management (GCP)

Edmonton, AB · On-site +1

Support the development and maintenance of ETL (Extract, Transform, Load) processes and integration workflows to ingest, process, and transform data from various sources * Participate in CI/CD ...

Data Elephant Inc

Databricks Engineer

Calgary, AB · On-site

Lead the implementation of modern data platforms and architectures on Databricks (including ETL, workload migrations, and Unity Catalog). * Design and implement data pipelines using Azure Databricks ...

Lantern

Data Architect

Edmonton, AB

Optimizing existing ETL process and data transformations. Create technical documentation for solutions that have been built. Troubleshoot production systems, address technical issues, etc. Team ...

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All JobsData Extraction JobsData Extraction Jobs in Alberta

Data Extraction information

See Alberta salary details

$11

$28

$69

How much do data extraction jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data extraction in Alberta is $28.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $31.25 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities for someone working in Data Extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

How to become a data extractor?

To become a data extractor, you typically need strong skills in data management, familiarity with data extraction tools like SQL, Python, or specialized software, and attention to detail. Many roles require a high school diploma or higher, and some may prefer certifications in data analysis or related fields. Gaining experience through internships or entry-level positions can also help build relevant skills.

What are the key skills and qualifications needed to thrive in the Data Extraction position, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

What is a Data Extraction job?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What is a data extraction job?

A data extraction job involves retrieving specific information from various sources such as websites, databases, or documents. It often requires skills in using tools like web scrapers or data management software and may involve cleaning and organizing data for analysis or reporting.

What does a data extractor do?

A data extractor is responsible for collecting and retrieving data from various sources such as websites, databases, or documents. They often use tools like web scraping software or data management systems and need strong attention to detail and technical skills. The role involves transforming unstructured data into organized formats for analysis or storage.
What are popular job titles related to Data Extraction jobs in Alberta? For Data Extraction jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Extraction jobs in Alberta look for? The top searched job categories for Data Extraction jobs in Alberta are:
What cities in Alberta are hiring for Data Extraction jobs? Cities in Alberta with the most Data Extraction job openings:
Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Alberta as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $58,613 per year, or $28.2 per hour.
Data Engineering - Data Ingestion & Infrastructure

Data Engineering - Data Ingestion & Infrastructure

TELUS

Edmonton, AB • On-site

Other

Posted 5 days ago

TELUS rating

8.2

Company rating: 8.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

24th of 96 rated telecommunications companies

Job description

Join our team and what we'll accomplish together

Data Foundation is the managed ingestion service for TELUS - the team that gets data into the platform, keeps it flowing, and guarantees its quality before anyone downstream feels a problem. We operate multiple deployments across TELUS, Health, Digital, and Agriculture under one operating model, and we own everything from source to trusted raw data.

In this role, you will design, develop, and support data pipelines and the platform they run on. You'll build ingestion flows, contribute to the onboarding tooling every team at TELUS uses to bring data into the platform, and play an active role in the SRE practice that keeps everything running. You'll work across greenfield deployments, legacy system migrations, and the standards that define how data moves across TELUS.

You'll also mentor junior team members and lead resolution of critical operational issues. This is a role for someone who takes ownership and brings others along.

What you will do

Pipeline & Ingestion Engineering

  • Design and build data extraction, ingestion, and pipeline flows across deployments (TELUS, Health, Digital, Agriculture), both cloud and on-prem where applicable
  • Implement data contracts at the ingestion layer ensuring data arrives, flows on schedule, and meets quality standards before it becomes available as raw data
  • Contribute to the inner-source codebase; participate in solution reviews and code reviews for pipelines contributed by Health, Digital, and other teams

Site Reliability & Data Quality

  • Develop test strategies and site reliability engineering measures for data pipelines and solutions, build automated assurance in, not manual checks after
  • Lead resolution of critical operations issues including post-implementation reviews and blameless post-mortems
    Participate in on-call rotation 

Onboarding Tooling & Standards

  • Build and maintain the self-serve onboarding tooling that source teams and business units use to bring new data sources into the platform
  • Perform application impact assessments, requirements reviews, and develop work estimates for onboarding requests
  • Contribute to the onboarding standard, ensuring it stays consistent and usable across all deployments

Platform & Infrastructure

  • Apply working knowledge of infrastructure-as-code to contribute to the shared GKE cluster and deployment pipelines
  • Participate in agile development scrums and solution reviews
  • Mentor L1 and L2 Data Engineering Specialists on the team
What you bring
  • 4+ years of data engineering experience
  • 2+ years working on data solution architecture and design
  • Intermediate proficiency in Python or Java, including pipeline development
  • SQL and database proficiency
  • Familiarity with quality assurance and site reliability engineering practices for data solutions
  • Working knowledge of infrastructure-as-code (Terraform, Ansible, Pulumi, or equivalent)
  • Data modeling experience
  • Bachelor's degree in Software Engineering, Computer Science, Mathematics, or a related field (or equivalent experience)

Great-to-haves

  • Data Engineering certification
  • Experience with Kafka or streaming data movement patterns
  • GCP and BigQuery experience
  • Familiarity with Kubernetes/GKE
  • Background in a regulated industry (healthcare, telecommunications) or compliance-driven data environments
  • Experience contributing to or maintaining a shared internal platform used by multiple teams

What TELUS employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

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