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Data Engineer Jobs in Edmonton, AB (NOW HIRING)

Lifeworks

Data Conversion Lead

Edmonton, AB · On-site

The Data Conversion Lead is responsible for coordinating all activities related to the integration ... Experience with Azure DevOps, Microsoft Office, Visual Studio * Experience with pension plan and ...

Johnson Controls

Automation Engineer

Edmonton, AB · On-site

... Engineering, and cross-functional partners to implement improvements on schedule and within budget ... Design of connected systems, data acquisition tools, and real-time monitoring solutions * Spec out ...

HollisWealth

Senior BI Developer

Edmonton, AB · On-site

Senior BI Developer: We are seeking a mid-senior to senior-level BI Developer who will play a ... Data Architecture & Development * Collaborate with data analysts to understand data needs and ...

Forum Canada, ULC

Manufacturing Engineer

Leduc, AB

Oversee engineering systems, workflows, and data structures to support team efficiency and compliance. * Perform additional duties as required Skills/Knowledge * Strong computer skills including ...

Fleetworthy

Software Engineer

Edmonton, AB

Implement scalable ETL/data transformation workflows using Databricks or similar platforms * Write ... Familiarity with build pipelines, e.g., GitActions, GitLab, BitBucket, Azure DevOps, ... * ...

Johnson Controls

Sr. Manufacturing Engineer

Nisku, AB · On-site

Senior Manufacturing Engineer (Silent-Aire) Build your best future with the Johnson Controls team ... Our product line includes large-scale equipment such as air handling units and modular data centers.

Procore

Software Engineer 2

Edmonton, AB · On-site

You'll help us build reliable, well-tested ingestion and workflow capabilities that keep customers' materials data accurate and auditable at scale. As a Software Engineer 2 , you'll partner with your ...

Procore

Software Engineer 2

Edmonton, AB

You'll help us build reliable, well-tested ingestion and workflow capabilities that keep customers' materials data accurate and auditable at scale. As a Software Engineer 2 , you'll partner with your ...

Johnson Controls

Manufacturing Engineer

Nisku, AB · On-site

CA$62K - CA$106K/yr

Since May 2021, Silent-Aire has been a part of Johnson Controls' Data Center Solutions group. To ... This role requires close collaboration with engineering teams and other departments to ensure ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Edmonton, AB

Data Engineer information

See Edmonton, AB salary details

$60K

$122.6K

$181K

How much do data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer in Edmonton, AB is $122,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $142,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Edmonton, AB? The most popular types of Data Engineer jobs in Edmonton, AB are:
What are popular job titles related to Data Engineer jobs in Edmonton, AB? For Data Engineer jobs in Edmonton, AB, the most frequently searched job titles are:
What cities near Edmonton, AB are hiring for Data Engineer jobs? Cities near Edmonton, AB with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Edmonton, AB as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,622 per year, or $59 per hour.

Sr Business Intelligence Consultant

Dura Digital

Edmonton, AB • On-site

Contractor

Re-posted 16 days ago

Job description

Dura Digital is looking for a Business Intelligence consultant who knows that great analytics starts with strong data models. You care deeply about semantic consistency, performance, and usability; and you're passionate about helping organizations deliver effective BI platforms.


As a Senior Business Intelligence Developer and consultant, you'll play a key role in working with our clients designing and maintaining Power BI data models , supporting the migration of Power BI reports from SQL Server to Snowflake. You'll work closely with data engineers, analytics partners, and project stakeholders to ensure trusted, scalable, and high-performing analytics solutions.

WHAT MOVES YOU

  • You enjoy translating complex project requirements into intuitive, performant BI solutions.
  • You're analytical, curious, and thoughtful about how data models impact downstream reporting and decision-making.
  • You're a strong communicator who can explain technical concepts to non-technical audiences.
  • You take pride in clean, well-documented models and reports that others can easily understand and reuse.
  • You enjoy mentoring others and raising the overall maturity of BI practices.
  • You stay calm and focused when navigating ambiguity, change, or platform migrations.


WHAT YOU'LL DO

  • Design, develop, and maintain Power BI data models using best practices for performance, scalability, and usability.
  • Lead and support the migration of Power BI reports and data models from SQL Server to Snowflake.
  • Partner with data engineering teams to align Power BI models with Snowflake data structures and transformation logic.
  • Work with project stakeholders to understand requirements and translate them into clear, actionable reporting solutions.
  • Optimize DAX measures, calculated columns, and model relationships for performance and clarity.
  • Ensure consistency in metrics, dimensions, and definitions across reports and subject areas.
  • Identify opportunities to simplify, standardize, and reduce technical debt in existing Power BI content.
  • Support data validation and reconciliation efforts during platform migrations.
  • Promote BI best practices including version control, documentation, and deployment workflows.
  • Assist in establishing standards for Power BI development, governance, and lifecycle management.
  • Provide production support for critical BI assets, ensuring reliability and trust in reporting.


WHAT YOU'VE DONE

  • You have a university degree in Computer Science, Information Systems, or a related field. or equivalent experience.
  • You bring 5+ years of experience in Business Intelligence, Analytics Engineering, or Data Analytics roles.
  • You have deep hands-on experience with Power BI, including:
    • Data modeling
    • DAX
    • Performance optimization
    • Data design for self-service analytics
  • You have strong SQL skills and experience working with SQL Server.
  • You have experience supporting or leading BI migrations (on-prem to cloud and/or platform-to-platform).
  • You've worked with cloud data warehouses, with Snowflake experience strongly preferred.
  • You understand dimensional modeling concepts (e.g., Kimball) and how they apply to BI semantic layers.
  • You're comfortable collaborating with data engineers and analysts.
  • You have experience working in Agile or iterative delivery environments


SKILLS

  • Business Intelligence & Analytics
    • Power BI (data models, reports, dashboards)
    • DAX optimization and modeling best practices
    • Semantic layer design
  • Data Platforms
    • SQL Server
    • Snowflake / cloud data warehouses
  • Data Modeling
    • Dimensional modeling (Kimball)
    • Metrics standardization
  • Languages & Tools
    • SQL
    • DAX
    • Version control (Git)
  • Practices
    • BI governance and lifecycle management
    • Data quality validation
    • Performance tuning
    • Documentation and knowledge sharing

Location: Edmonton, Alberta

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