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Data Extraction Jobs in Alberta (NOW HIRING)

Data Architect

Calgary, AB · Hybrid

CA$128K - CA$147K/yr

Familiarity with cloud warehouses (Snowflake, BigQuery, Databricks) and reverse-ETL patterns. * Experience owning or contributing to data governance frameworks and enabling broad dbt access across ...

... ELT/ETL patterns. * Hands-on experience troubleshooting Snowflake workloads, including SQL queries, warehouses, schemas, roles, permissions, performance, data loads, and operational failures.

... ELT/ETL patterns. * Hands-on experience troubleshooting Snowflake workloads, including SQL queries, warehouses, schemas, roles, permissions, performance, data loads, and operational failures.

Familiarity with data handling concepts such as data extraction, cleaning, transformation, and validation across multiple sources and formats * Ability to manage multiple priorities in a fast-paced ...

Experience with ETL development and data integration from a range of sources including SQL, DB2, Mysql, Azure Blob, and APIs. * Expertise in dimensional modeling, with practical knowledge of Kimbal ...

Strong experience working with both batch and real-time ETL involving large data sets * Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL ...

Apply Early

Strong experience working with both batch and real-time ETL involving large data sets * Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL ...

Apply Early

Strong experience working with both batch and real-time ETL involving large data sets * Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL ...

Apply Early

Strong experience working with both batch and real-time ETL involving large data sets * Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL ...

Apply Early

Strong experience working with both batch and real-time ETL involving large data sets * Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL ...

Apply Early

Strong experience working with both batch and real-time ETL involving large data sets * Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL ...

Apply Early

Strong experience working with both batch and real-time ETL involving large data sets * Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL ...

Apply Early

Strong experience working with both batch and real-time ETL involving large data sets * Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL ...

Apply Early

Catastrophe Risk Specialist

Edmonton, AB · Hybrid

CA$85K - CA$115K/yr

This includes data extraction and manipulation for the purpose of modeling, reporting, and exposure accumulation. The role will collaborate with various pricing and underwriting teams to assist in ...

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Data Extraction information

See Alberta salary details

$11

$28

$69

How much do data extraction jobs pay per hour?

As of Jul 5, 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:
Infographic showing various Data Extraction job openings in Alberta as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $58,613 per year, or $28.2 per hour.

Application Support Analyst - Maternity Leave Coverage

LaPrairie Group

Calgary, AB • On-site

Other

Posted 6 days ago

Be an early applicant


Job description

Salary:

LaPrairie Group of Companiesis a family-owned, diverse group of construction companies that have been in business for over 40 years in Western Canada.We are one of Canadas largest independently owned mobile-crane companies, experts in oilfield trucking, heavy-hauling and picker truck services, specialists in proppant mining and production, and a major road construction and maintenance contractor.


We are accelerating our digital transformation efforts and seeking and are seeking a motivated, analytical, and customer-focused Application Support Analyst to join our IT team. This is a maternity leave coverage, 18-month, fixed term position. This role will help improve the way our business systems, data, and processes work together supporting our commitment to efficiency, modernization, and growth.


Role Overview


In this role, you will ensure our core business applications are reliable and easy to use. Beyond daily troubleshooting, youll work to improve system workflows, enhance our data reporting, and help lead the transition toward a more modern application landscape.


Key Responsibilities


  • Manage the day-to-day health and user support for all internal business applications.
  • Act as the technical expert for complex issues, leveraging logs and database queries to resolve problems quickly.
  • Identify and fix the root cause of recurring problems to prevent future occurrences.
  • Work with the IT Infrastructure team to keep our main systems efficient and reliable.
  • Ensure support processes are consistent, documented, and easy to replicate.
  • Support business reporting needs using SQL, Excel, or BI tools.
  • Manage the data lifecycle, including cleaning up and moving old data during system upgrades.
  • Handle data validation, corrections, and regular integrity checks to keep information accurate.
  • Maintain clear standards for how data is handled and governed across the company.
  • Act as the bridge between business units and tech teams to ensure software meets actual work goals.
  • Work closely with Finance, Operations, and Field teams to understand and improve their workflows.
  • Translate business needs into clear technical requirements for developers.
  • Assist with software testing (UAT), user training, and creating simple how-to guides and SOPs.
  • Lead efforts to automate manual tasks and improve overall system efficiency.


Qualifications & Skills


  • Diploma or Degree in Information Technology, Computer Science, Business Administration, or a related field, or equivalent experience.
  • 3 6 years of experience in application support or IT support roles.
  • 2 - 4 years of proven experience supporting ERP or operational systems.
  • Excellent problem-solving, trouble shooting and analytical skills with strong attention to detail.
  • Proficiency in writing complex SQL queries for data extraction, transformation, and troubleshooting.
  • Familiarity with business intelligence tools such as Power BI, Tableau, or similar platforms.
  • Strong understanding of business process improvement and system optimization.
  • Experience in documenting business and technical requirements, user guides, and training materials.
  • Ability to communicate clearly and effectively with both technical and non-technical users.
  • Familiarity with the Software Development Life Cycle and Agile methodologies
  • Basic understanding of APIs and web services (REST/SOAP) to troubleshoot data flow between integrated systems.
  • Self-driven, organized, and capable of managing multiple priorities.
  • Actively seeks out opportunities to learn and develop knowledge.


Interested candidates are invited to submit their application, including a resume and cover letter. Only shortlisted candidates will be contacted for further steps in the selection process.