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Data Extraction Jobs in Calgary, AB (NOW HIRING)

Krux Analytics Inc.

Data Architect

Calgary, AB · On-site +1

Understandingof modern data development technologies (data engineering, pipeline, ETL) * Strong attention to detail, critical thinking, and problem-solving skills. Work Location: Calgary, AB (Office ...

Targeted Talent

2 - Senior Data Engineer

Calgary, AB · On-site

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 ...

Targeted Talent

2 - Senior Data Engineer

Calgary, AB · On-site

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 ...

Targeted Talent

Senior Data Engineer

Calgary, AB · Remote

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 ...

Targeted Talent

Senior Data Engineer

Calgary, AB · Remote

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 ...

Wawanesa Insurance

Catastrophe Risk Specialist

Calgary, 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 ...

YO AI Labs

Mental Health Expert - Remote

Calgary, AB · Remote

$200 - $350/hr

Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and SDK integrations . * Collaborate with product, security ...

YO AI Labs

AI/ML Engineer - Remote

Calgary, AB · Remote

$200 - $350/hr

Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference. * Develop and maintain REST APIs and SDK integrations . * Collaborate with product, security ...

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Showing results 21-40

All JobsData Extraction JobsData Extraction Jobs in Calgary, AB

Data Extraction information

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 are popular job titles related to Data Extraction jobs in Calgary, AB?

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

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

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

Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Calgary, AB as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

Databricks Engineer (Contract)

Data Elephant Inc

Calgary, AB • On-site

Contractor

Re-posted 9 days ago

Job description

We are seeking an experienced Databricks Engineer to join our delivery team on a contract basis to design, build, and optimize modern data platforms on Azure Databricks. In this strategic role, you will work directly with both Data Elephant and client data and analytics teams, helping them migrate, modernize, and scale their data workloads while applying best practices in data engineering, security, ML, AI and data governance. This is a hands-on engineering role with strong exposure to architecture decisions, client interaction, and end-to-end delivery.


Responsibilities

  • Play an integral project team role in 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 (PySpark, SQL)
  • Build and optimize batch and streaming data workloads
  • Migrate legacy data workloads to Azure + Databricks
  • Implement Delta Lake patterns (medallion architecture, CDC, data quality)
  • Integrate Databricks with Azure services such as ADLS, ADF, Azure Key Vault and DevOps/Github
  • Optimize performance and cost (cluster sizing, job orchestration, query tuning)
  • Collaborate with solution architects, analytics engineers, and client stakeholders
  • Contribute to reusable accelerators, standards, and internal best practices
  • Support client enablement through knowledge transfer and documentation
  • Provide hands-on solution delivery, including guiding and working closely with client engineers and ensuring best practices.
  • Implement governance models and Unity Catalog including data access, lineage, and security frameworks.


QUALIFICATIONS

  • 7+ years of experience in data engineering.
  • 4+ years of recent, hands-on experience building production solutions with Databricks, including advanced features such as Delta Lake, Unity Catalog, and MLflow.
  • Strong experience developing data pipelines using PySpark and SQL.
  • Proven experience leading large-scale data migrations, including ETL workloads and cloud platform migrations.
  • Strong expertise with Microsoft Azure and experience working with Azure data services, including ADLS, Azure Data Factory (ADF), Synapse Analytics, Azure Key Vault, and Azure DevOps.
  • Strong understanding of modern data architectures, including lakehouse, medallion architecture, and ELT/ETL.
  • Experience implementing CI/CD practices for data workloads.
  • Strong understanding of enterprise data governance, security, and compliance best practices.
  • Excellent communication skills with experience working directly with client teams.
  • Previous consulting or professional services experience is strongly preferred.
  • Databricks and Microsoft Azure certifications are considered an asset.


Be part of Canada's leading boutique consulting firm focused on Databricks and modern data platforms.

  • Work on challenging, high-impact projects with mid-sized and enterprise clients across industries
  • Collaborate with a senior, high-performing team that values speed, pragmatism, and client success.


This role requires regular onsite work at a client location in Calgary.

Apply