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Data Extraction Jobs in Alberta (NOW HIRING)

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 ...

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 ...

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 ...

Develop ETL/ELT workflows to ingest, transform, and prepare data for analytics and reporting while supporting the creation of curated datasets for business intelligence and data science use cases

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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Data Extraction information

See Alberta salary details

$11

$28

$69

How much do data extraction jobs pay per hour?

As of Jun 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.

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 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 7% As Needed, 7% Full Time, 73% Part Time, and 13% 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 Engineer - Spark / Databricks / Snowflake (BFSI) - DESDSAS

NavitasPartners

Edmonton, AB

CA$30/hr

Full-time

Posted 10 days ago


Job description

Job Title: Data Engineer – Spark, Databricks & Snowflake (BFSI)

Position Overview:
We are seeking a Data Engineer with strong expertise in modern data platforms to build scalable data pipelines and cloud-based data solutions for banking, financial services, and insurance clients.

Key Responsibilities:

  • Design and develop enterprise-grade data pipelines using Spark and Databricks.
  • Build and optimize Snowflake data warehouse solutions.
  • Develop ETL/ELT frameworks for structured and unstructured data.
  • Implement data quality, governance, and security controls.
  • Integrate data from core banking, payments, lending, risk, and regulatory systems.
  • Optimize data processing performance and cloud costs.

Required Skills:

  • Apache Spark (PySpark/Scala)
  • Databricks
  • Snowflake
  • SQL, Python
  • Azure/AWS/GCP Data Services
  • Data Modeling
  • ETL/ELT Development
  • CI/CD and DevOps Practices
  • Data Lake Architecture

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 5+ years of Data Engineering experience.
  • Experience implementing enterprise data platforms.

Mandatory Industry Experience:

  • Must have prior BFSI experience supporting banking, insurance, capital markets, lending, payments, wealth management, or risk management functions.

For more details reach at resumes@navitassols.com