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Data Engineer Jobs in Calgary, AB (NOW HIRING)

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 ...

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 ...

Data Scientist

Calgary, AB ยท On-site

  • Retirement

As the discipline of data science continues to converge with AI engineering, we want someone who can move fluidly across both. You will operate as a senior individual contributor and a generalist ...

New

Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+ years of experience as a data analytics developer or engineer * 5+ years of experience in developing data ...

Data Architect

Calgary, AB ยท On-site +1

Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+years of experienceas a data analyticsdeveloperor engineer * 5+ years of experience in developing dataarchitecture ...

Bachelors Degree (Computer Science, Technology, Engineering, or related field) * 10+years of experienceas a data analyticsdeveloperor engineer * 5+ years of experience in developing dataarchitecture ...

This role requires strong data engineering skills and leadership, effective written and verbal communication skills, a strong work ethic and a demonstrated capability to multi-task effectively as a ...

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 ...

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 ...

Senior Oracle Data Analyst - Contract We are seeking a senior Oracle Data Analyst to support a ... Support developers during remediation and validate that implemented fixes resolve the underlying ...

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree; * Strong database proficiency (e.g ...

Design and own the SRE function for Level 1 data ingestion across all GCP deployments: alert policy design, SLO definition, incident management, and on-call operations * Eliminate manual data quality ...

Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g., forecasting, classification, recommendation, anomaly detection) using tech stack such ...

Showing results 21-40

Data Engineer information

See Calgary, 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 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.

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.
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 cities near Calgary, AB are hiring for Data Engineer jobs? Cities near Calgary, AB with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Calgary, 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.

Manager, Data Platform(s) Architect, Data & AI

KPMG

Calgary, AB โ€ข On-site

Full-time

Re-posted 17 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canadaโ€™s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

Our Data & AI team is one of our fastestgrowing practices, with strong client demand across sectors to modernize data platforms and operationalize AI. Our mission is to help clients harness the full potential of the lakehouse paradigm centered on Databricks - to unlock the power of their data and drive business transformation with trustworthy, secure, and scalable AI. As a member of our team, youโ€™ll work with cuttingedge technology, tackle complex data challenges, grow your skills, and contribute to business growth and innovation in a dynamic and inclusive environment.


What you will do
  • Work with cross functional engagement teams to translate business and analytics requirements into a data, analytics and AI strategy and requirement for the engagement.
  • Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft Fabric, Databricks and Snowflake (with a focus on the first two) on Azure, AWS and GCP (with a focus on the first) and lead the deployment and delivery of the solution.
  • Analyze, implement, and resolve issues with existing modern data platforms
  • Provide mentorship to a team of data engineers, software developers, and data scientists with a focus is on modern data analytics platform.
  • Lead the design and implementation of CI/CD pipelines for application, data, and AI workloads across environments, ensuring robust automation and operational stability.
  • Design modern data foundations including streaming/batch pipelines, medallion architecture, semantic layer, and data products.
  • Lead delivery teams through design, build, testing, and deployment, ensuring quality and operational excellence.
  • Drive presales, partner collaboration, proposal writing, responding to RFPs, solution demos, PoCs, and technical storytelling.
  • Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
  • Own scoping, estimation, and task planning for assigned projects.
  • Embed data management leading practices, including data architecture design and data modeling, master data/metadata/data security/privacy/data quality management, data operations, data integration and interoperability
  • Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
  • Own delivery outcomes for client engagements, including timelines, quality, and operational stability
  • Remaining up to date in new and emerging technologies

What you bring to the role
  • 8+ years consulting experience leading data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application architectures that are scalable and repeatable) initiatives.
  • Handson Databricks and Fabric expertise across the whole data and analytics continuum.
  • Cloud proficiency in Azure/AWS/GCP including identity, networking, security, and integration with data services.
  • Expert skills in SQL, Python, and distributed data processing.
  • Deep understanding of data management including architecture, data engineering, governance, and data quality.
  • Strong delivery leadership including estimation, planning, and stakeholder communication.
  • Ability to translate business needs into technical solutions.
  • Relevant certifications (Databricks, Fabric or cloud architect).
  • You have fine-tuned your leadership skills and are comfortable leading diverse teams, overseeing a variety of engagements, as well as managing and coordinating expectations of stakeholders.
  • You see the big picture both as a consultant and as an internal contributor. You are motivated to create solutions that are practical and cost-effective solutions that are relevant to your clientsโ€™ objectives and challenges.
  • You have developed a reputation as a knowledgeable professional in your area, possess a solution orientated and analytical mindset, and enjoy guiding others through complex and at times ambiguous challenges.
  • Youโ€™re a self-starter that takes initiative to constantly improve your skillset and contribute to the overall performance and success of the practice.
  • You are an exceptional communicator, both verbally and written, with the ability to deliver professional communications, presentations, reports, and documentation.
  • You have developed a strong professional brand and presence in the community and enjoy contributing to and participating in events.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $117,000 to $152,000 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Informationย ย ย 

The expected base salary range for this position isย $117,000 to $152,500ย and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.ย 

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right |ย Excellence, we never stop learning and improving |ย Courage, we think and act boldly | Together, we respect each other and draw strength from our differences |ย For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMGโ€™s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMGโ€™s Trusted AI framework.

We believe technology should empower human judgment, not replace it. Itโ€™s one of the many ways weโ€™re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • 8+ years consulting experience leading data engineering, analytics, and AI (data/data platform architecture, design, implementation, and/or support of complex data and application architectures that are scalable and repeatable) initiatives.
  • Handson Databricks and Fabric expertise across the whole data and analytics continuum.
  • Cloud proficiency in Azure/AWS/GCP including identity, networking, security, and integration with data services.
  • Expert skills in SQL, Python, and distributed data processing.
  • Deep understanding of data management including architecture, data engineering, governance, and data quality.
  • Strong delivery leadership including estimation, planning, and stakeholder communication.
  • Ability to translate business needs into technical solutions.
  • Relevant certifications (Databricks, Fabric or cloud architect).
  • You have fine-tuned your leadership skills and are comfortable leading diverse teams, overseeing a variety of engagements, as well as managing and coordinating expectations of stakeholders.
  • You see the big picture both as a consultant and as an internal contributor. You are motivated to create solutions that are practical and cost-effective solutions that are relevant to your clientsโ€™ objectives and challenges.
  • You have developed a reputation as a knowledgeable professional in your area, possess a solution orientated and analytical mindset, and enjoy guiding others through complex and at times ambiguous challenges.
  • Youโ€™re a self-starter that takes initiative to constantly improve your skillset and contribute to the overall performance and success of the practice.
  • You are an exceptional communicator, both verbally and written, with the ability to deliver professional communications, presentations, reports, and documentation.
  • You have developed a strong professional brand and presence in the community and enjoy contributing to and participating in events.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $117,000 to $152,000 and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Informationย ย ย 

The expected base salary range for this position isย $117,000 to $152,500ย and may be eligible for bonus awards. The determination of an applicantโ€™s base salary within this range is based on the individualโ€™s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.ย 

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME