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Data Engineering Jobs in Alberta (NOW HIRING)

Syndio

Staff Data Engineer

Calgary, AB · On-site

Deep experience in data engineering, data platform, or distributed systems roles * Proven track record designing and scaling data pipelines across teams or organizations * Experience solving ...

Lantern

Senior Data & AI Consultant

Edmonton, AB · On-site

Lead and mentor cross-functional teams, promoting best practices in data engineering, solution architecture, and Microsoft platform adoption. * Act as a subject matter expert on the Microsoft Cloud ...

Targeted Talent

Senior Data Scientist

Calgary, AB · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Targeted Talent

Senior Data Scientist

Edmonton, AB · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Targeted Talent

Senior Data Scientist

Calgary, AB · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Targeted Talent

Senior Data Scientist

Edmonton, AB · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Syndio

Staff Data Engineer

Calgary, AB · Remote

CA$180/hr

Deep experience in data engineering, data platform, or distributed systems roles * Proven track record designing and scaling data pipelines across teams or organizations * Experience solving ...

Data Elephant Inc

Senior Power BI Lead

Calgary, AB

You will act as a key bridge between business intelligence and data engineering, ensuring reporting requirements are translated into scalable, well-modeled data solutions. This is a highly ...

10 Percent Recruiting Ltd.

Data Engineer

Edmonton, AB · Hybrid

Data Engineer Location: Edmonton, AB - hybrid Type: Permanent We currently recruiting for a Full-time Data Engineer for our downtown Edmonton-headquartered client's Information Technology Department.

Clio

Data Architect

Calgary, AB · Hybrid

CA$128K - CA$147K/yr

This is a hands-on senior engineering role that blends deep SQL and modeling expertise with product ... Translate raw data into well-tested, performant datasets and reusable building blocks for ...

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Data Engineering information

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Alberta? The most popular types of Data Engineering jobs in Alberta are:
What are popular job titles related to Data Engineering jobs in Alberta? For Data Engineering jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Alberta look for? The top searched job categories for Data Engineering jobs in Alberta are:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Alberta as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.

Senior Data Architect - Data Modelling

Data Elephant Inc

Calgary, AB

Full-time

Re-posted 15 days ago

Job description

Data Elephant is seeking a Senior Data Architect with strong Data Modeling experience to support a client in designing and delivering scalable, high-quality data models within a modern cloud data platform. This role is critical in enabling trusted, performant, and business-aligned data for analytics, reporting, and advanced use cases.

You will work within an environment leveraging Azure, Databricks, and Power BI, collaborating with data engineers, analytics teams, and business stakeholders to define and implement best-in-class data modeling practices.


Key Responsibilities


Data Modeling & Architecture

  • Design and implement conceptual, logical, and physical data models aligned to business requirements
  • Develop dimensional models (star/snowflake schemas) for analytics and reporting use cases
  • Define and manage data structures within Databricks (Delta Lake)
  • Ensure models support scalability, performance, and reusability


Collaboration & Stakeholder Engagement

  • Partner with business stakeholders to translate requirements into robust data models
  • Work closely with data engineers to align modeling with ingestion and transformation pipelines
  • Support Power BI developers in optimizing semantic models and reporting performance


Governance & Standards

  • Establish and enforce data modeling standards, naming conventions, and best practices
  • Contribute to data governance frameworks, including lineage, metadata, and documentation
  • Ensure data models align with enterprise data architecture and security policies


Performance Optimization

  • Optimize data models for query performance and cost efficiency within Azure and Databricks
  • Support tuning of Power BI semantic models (e.g., aggregations, relationships, measures)


Documentation & Knowledge Sharing

  • Produce clear documentation for data models, definitions, and transformations
  • Mentor team members and promote data modeling best practices


Required Experience & Skills


Core Expertise

  • 7+ years of experience in data modeling and data architecture
  • Strong expertise in tools like Erwin, Hackolade, Data Vault
  • Dimensional modeling experience
  • Proven experience working in modern cloud data platforms like Azure, Databricks


Technology Stack

  • Azure Data Platform (e.g., ADLS, Azure Data Factory, Synapse - familiarity expected)
  • Databricks (Delta Lake, medallion architecture, Spark concepts)
  • Power BI (semantic modeling, DAX, dataset design)
  • Strong SQL skills and understanding of distributed data processing


Additional Capabilities

  • Experience designing models for large-scale, complex datasets
  • Strong understanding of data governance, lineage, and metadata management
  • Ability to balance business usability with technical optimization

Apply