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Data Engineer Jobs in Calgary, AB (NOW HIRING)

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L3 Data Management (GCP)

Calgary, AB · On-site +1

We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal ...

Hays

Data Scientist - Specialist

Calgary, AB · Hybrid

You will work closely with Data Engineers, domain experts, and cross-functional stakeholders to build scalable analytical products and deliver value through iterative MVP-based releases. Key ...

Takeaway

Senior Manager - Data Engineering

Calgary, AB · On-site +1

CA$120K - CA$160K/yr

Partner with the Lead Data Engineer on system design of our application databases and services, mapping the interactions critical to the warehouse. * Raise engineering standards across data and ...

Data Elephant Inc

Senior AI / ML Engineer

Calgary, AB · On-site

We are looking for a Senior AI/ML Engineers to join our team, that sit at the intersection of ... This role is ideal for someone who enjoys building end-to-end solutions - from data pipelines and ...

Targeted Talent

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

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 ...

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 ...

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 ...

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All JobsData Engineer JobsData Engineer Jobs in Calgary, AB

Data Engineer information

See Calgary, AB salary details

$60K

$122.6K

$181K

How much do data engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data engineer in Calgary, 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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 are Data Engineers?

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations 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 ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Calgary, AB? The most popular types of Data Engineer jobs in Calgary, AB are:
What are popular job titles related to Data Engineer jobs in Calgary, AB? For Data Engineer jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Calgary, AB look for? The top searched job categories for Data Engineer jobs in Calgary, AB are:
What cities near Calgary, AB are hiring for Data Engineer jobs? Cities near Calgary, AB with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Calgary, AB as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $122,622 per year, or $59 per hour.

Data Engineer (Microsoft Fabric) - Remote Contract (Canada Only) - DE 0608 KC#01

NavitasPartners

Calgary, AB • Remote

Other

Posted 9 days ago

Job description

Job Title: Data Engineer (Microsoft Fabric) - Remote Contract (Canada Only)Location: Remote (Candidates must be based in Canada)Duration: 6-Month ContractIndustry: Healthcare Technology
Role Overview

We are seeking a highly skilled Data Engineer with strong Microsoft Fabric expertise to join a leading healthcare technology client on a 6-month remote contract. This role is ideal for professionals who are passionate about building modern data platforms and delivering end-to-end data engineering solutions in a dynamic and evolving environment.

Key Responsibilities
  • Design, develop, and maintain scalable data solutions using Microsoft Fabric
  • Implement and manage Lakehouse architectures, including OneLake and DirectLake
  • Build and optimize data pipelines supporting end-to-end data engineering workflows
  • Deploy and manage solutions using Fabric deployment pipelines
  • Collaborate with cross-functional teams to deliver high-quality data products
  • Ensure data quality, governance, and performance optimization across the platform
  • Contribute to the transformation of modern data infrastructure within the organization
Required Skills & Experience
  • Proven experience working with Microsoft Fabric
  • Strong hands-on expertise in:
    • Lakehouse architecture
    • OneLake and DirectLake
    • Fabric deployment pipelines
  • Demonstrated experience delivering end-to-end data engineering solutions (beyond Synapse and Power BI)
  • Proficiency in data modeling, ETL/ELT processes, and data pipeline orchestration
  • Strong problem-solving skills and ability to work independently in a remote environment
Preferred Qualifications
  • Experience in healthcare or health-tech environments
  • Familiarity with data governance, compliance, and security standards in regulated industries
  • Exposure to modern cloud-based data ecosystems and architecture patterns

For more details reach at resumes@navitassols.com.

About Navitas Partners, LLC: It is a certified WBENC and one of the fastest-growing healthcare staffing firms in the US providing Medical, Clinical and Non-Clinical services to numerous hospitals. We offer the most competitive pay for every position we cater. We understand this is a partnership. You will not be blindsided, and your salary will be discussed upfront.

Apply