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Data Extraction Jobs in Alberta (NOW HIRING)

Aston Carter

Senior Financial Analyst

Calgary, AB · Hybrid

CA$100K - CA$110K/yr

Report and data extraction, including reconciliation to various sources. * Create reports to highlight issues, remediation actions and aging of non- remediation. * Respond to internal & external ...

Ansell

You will work closely with Data Engineers and business stakeholders to ensure the highest quality of data pipelines, ETL processes, and analytics deliverables. Key Responsibilities * Design Solutions:

Fleetworthy

Software Engineer

Edmonton, AB

Implement scalable ETL/data transformation workflows using Databricks or similar platforms * Write efficient and well-structured SQL, and manage PostgreSQL database schemas * Develop and execute unit ...

HollisWealth

Senior BI Developer

Calgary, AB

Implement, build and extract data in warehouse/data lake using SQL Server (on-prem) and Azure cloud technologies, in collaboration with IT. * Collaborate and assist in new data acquisition and ...

HollisWealth

Senior BI Developer

Edmonton, AB

Implement, build and extract data in warehouse/data lake using SQL Server (on-prem) and Azure cloud technologies, in collaboration with IT. * Collaborate and assist in new data acquisition and ...

ALS

Laboratory Assistant

Calgary, AB

CA$20.74/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data-driven insights to build a healthier future. About the Position: This position is responsible for performing preparations, extractions and analysis on soil and water samples. Specific ...

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Showing results 41-60

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 Aug 14, 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 extraction?

To become a data extraction specialist, develop skills in data analysis, 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 in this field.

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.

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 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 August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $58,613 per year, or $28.2 per hour.

Senior DBX AI/ML Engineer

Data Elephant Inc

Calgary, AB

Full-time

Re-posted 25 days ago

Job description

We are looking for a Senior AI/ML Engineers to join our team, that sit at the intersection of software engineering, data engineering, and applied AI.


This role is ideal for someone who enjoys building end-to-end solutions - from data pipelines and backend systems to AI-powered applications - and wants to work on real-world industrial use cases.


You will play a key role in designing and delivering modern AI-enabled solutions that help our clients transform legacy workflows into intelligent, scalable systems.


In this position, you'll contribute to a variety of impactful client projects, including:


  • Building AI-powered anomaly detection systems for operational and industrial data
  • Modernizing asset management workflows
  • Developing natural language interfaces for querying enterprise and operational data
  • Designing and implementing AI agents and copilots for business users
  • Creating scalable data pipelines and ML workflows in cloud environments
  • Enabling real-time and batch data processing for analytics and AI use cases


Responsibilities:


  • Design, build, and deploy end-to-end AI/ML solutions in production environments
  • Develop robust backend systems and APIs to support AI-driven applications
  • Build and maintain data pipelines and feature engineering workflows
  • Implement and operationalize machine learning models (training, deployment, monitoring)
  • Work with modern AI tooling (LLMs, agents, orchestration frameworks)
  • Collaborate with clients to translate business problems into technical solutions
  • Contribute to architecture decisions and best practices across projects
  • Mentor client team members and contribute to internal capability building


Required Skills & Experience


  • 5+ years of experience in software engineering, data engineering, or ML engineering
  • Strong programming and querying skills (Python, SQL, PySpark)
  • Experience building production-grade systems (APIs, microservices, pipelines)
  • Hands-on experience with AI/ML workflows and model deployment
  • Familiarity with modern AI/GenAI tooling and concepts
  • Experience with cloud platforms (Azure, AWS, Databricks)
  • Strong understanding of data engineering concepts (ETL, data modeling, pipelines)
  • Strong familiarity with the Databricks ecosystem (including AgentBricks, Genie - Databricks certifications strongy preferred)
  • Experience with LLM frameworks and agent-based architectures
  • Modern developer tooling (Cursor, AI-assisted development, Langraph, "vibe coding")
  • Experience working with industrial, utilities, or energy sector data


This role presents an exciting opportunity to work on practical, high-impact AI use cases - not just prototypes, shape how AI is applied to client environments, and change the game on traditional processes and platforms.Come join a growing organization helping clients take a new, lean and value-driven approach to data and engineering!

Apply