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Data Extraction Jobs in Alberta (NOW HIRING)

Extract data from clientprovided PDFs using AIdriven tools and other technical solutions, converting unstructured and semistructured content into clean, structured data files. * Data Transformation:

Support consultants will work as part of the CDST to assist clients facing teams with data extraction, transformation, and load capabilities into our various audit tools. In addition, they provide ...

Support consultants will work as part of the CDST to assist clients facing teams with data extraction, transformation, and load capabilities into our various audit tools. In addition, they provide ...

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 ...

Senior Data Scientist

Calgary, AB · On-site

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 ...

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 ...

Experience with document intelligence, PDF processing, and structured data extraction from engineering records and drawings. * Experience with Microsoft Graph API, SharePoint REST API, and enterprise ...

Execute hands-on ELT/ETL and BI development delivery tasks, specifically; ETL job development, technical data model design, and development of deployment pipelines from dev/UAT environment to ...

Good understanding of ETL processes, relational databases, data warehousing, and data integration. * Experience translating technical findings into clear, business-friendly language. * Strong ...

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 ...

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 ...

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 ...

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 ...

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Showing results 1-20

Data Extraction information

See Alberta salary details

$11

$28

$69

How much do data extraction jobs pay per hour?

As of Aug 22, 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 is a data extraction?

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 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.

What are the key skills and qualifications needed to thrive in data extraction, 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.

How to become a data extraction?

To become a data extraction specialist, develop skills in data management, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects, and understanding data privacy and security is also beneficial.

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:

Infographic showing various Data Extraction job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $58,613 per year, or $28.2 per hour.

Data Specialist - 26327D

Enverus

Calgary, AB • Remote

Full-time

Medical, Dental, Vision, Life

Posted 8 days ago


Job description

Data Specialist

Why YOU want this position

At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.

We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.

The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.

Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.

We are currently recruiting for a Data Specialist to join our organization; this is a remote position based in the Canada. The Data Specialist plays a critical role in ensuring highquality data ingestion, transformation, and configuration within the MineralSoft platform. This role requires strong analytical skills, attention to detail, and comfort working with AIenabled tools, structured data formats, and mineral management systems.

Performance Objectives

  • Data Extraction & Structuring: Extract data from clientprovided PDFs using AIdriven tools and other technical solutions, converting unstructured and semistructured content into clean, structured data files.
  • Data Transformation: Transform clientprovided or Enverusgenerated structured data files into MineralSoftcompatible upload formats, ensuring accuracy, consistency, and completeness across all transformed datasets.
  • Data Loading & System Configuration: Load, map, and configure datasets in MineralSoft, performing data validations and quality checks to ensure a successful ingestion process.
  • Querying & Reporting: Create and run report queries to extract data from MineralSoft for internal and client use, presenting outputs in clear, wellstructured formats.
  • Troubleshooting & Integration Management: Diagnose and resolve data integration issues between MineralSoft and EnergyLink, collaborating with technical and product teams to address systemlevel data concerns.

Competitive Candidate Profile

  • Proficiency with structured data formats (e.g., Excel, CSV, JSON).
  • Experience using AIbased document extraction tools and data processing technologies.
  • Familiarity with MineralSoft and EnergyLink platforms (preferred).
  • Strong understanding of data mapping, transformation, and validation processes.
  • Ability to assess data quality, identify discrepancies, and implement corrective actions.
  • Strong troubleshooting skills related to data integrations and system behavior.
  • High attention to detail and accuracy.
  • Strong organizational and timemanagement abilities.
  • Clear written and verbal communication skills.
  • Ability to collaborate with crossfunctional teams and manage multiple priorities
  • Bachelor's degree in Data Science, Information Systems, Business Analytics, Computer Science, or a related field (preferred).
  • Equivalent work experience will be considered in lieu of a degree.
  • 1-3 years of experience in data management, data analysis, or a similar technical role.
  • Experience working with mineral management systems, land data, or energy industry data (preferred).
  • Prior experience with data extraction tools, ETL processes, or system integrations is a plus.

Enverus offers comprehensive benefits to our employees to include:

  • Medical
  • Dental
  • Vision
  • Income Protection (disability, life/AD&D, critical illness, accident)
  • Employee Assistance Program (EAP)
  • Healthcare Spending Account (HSA), Commuter
  • Lifestyle & Wellbeing Program
  • Pet Insurance
Employment Type: Full-Time