Translate finalized data model designs into engineering specifications (e.g., schemas, ingestion contracts, transformation expectations, and data quality rules)for the data engineering team, provide ...
Quick apply
Translate finalized data model designs into engineering specifications (e.g., schemas, ingestion contracts, transformation expectations, and data quality rules)for the data engineering team, provide ...
Senior Data Analyst
Edmonton, AB · Hybrid
Collaborate with Data Engineering and IT teams to ensure analytics solutions align with data Lakehouse architecture and enterprise platforms. * Demonstrate a strong understanding of Data Lakehouse ...
Senior Data Analyst
Edmonton, AB · Hybrid
Collaborate with Data Engineering and IT teams to ensure analytics solutions align with data Lakehouse architecture and enterprise platforms. * Demonstrate a strong understanding of Data Lakehouse ...
Senior Database Developer
Edmonton, AB · Remote
$95K - $110K/yr
We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...
Quick apply
Senior Database Developer
Edmonton, AB · Remote
$95K - $110K/yr
We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...
Senior Database Developer
Edmonton, AB · Remote
$95K - $110K/yr
We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...
Quick apply
Senior Database Developer
Edmonton, AB · Remote
$95K - $110K/yr
We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...
Sales Engineer, Data Centers
Edmonton, AB · On-site
HPC-Industrial, powered by Clean Harbors, is looking for a Data Center Sales Engineer to join their safety conscious team! The Sales Engineer has direct responsibility for profitable revenue growth ...
Sales Engineer, Data Centers
Edmonton, AB · On-site
HPC-Industrial, powered by Clean Harbors, is looking for a Data Center Sales Engineer to join their safety conscious team! The Sales Engineer has direct responsibility for profitable revenue growth ...
Sales Engineer, Data Centers
Edmonton, AB · On-site
HPC-Industrial, powered by Clean Harbors, is looking for a Data Center Sales Engineer to join their safety conscious team! The Sales Engineer has direct responsibility for profitable revenue growth ...
Sales Engineer, Data Centers
Edmonton, AB · On-site
HPC-Industrial, powered by Clean Harbors, is looking for a Data Center Sales Engineer to join their safety conscious team! The Sales Engineer has direct responsibility for profitable revenue growth ...
Collaborate with data engineers, data scientists, and other stakeholders to support their workflows and optimize platform usage, including Power BI and dashboard administration. * Partner with cloud ...
Collaborate with data engineers, data scientists, and other stakeholders to support their workflows and optimize platform usage, including Power BI and dashboard administration. * Partner with cloud ...
R Developer
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 ...
Quick apply
R Developer
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 ...
Consultant, Data & Analytics - New Grad
CA$60K - CA$92K/yr
Work with other engineers to enhance data models and improve data query efficiency; create complex data queries tofacilitatead hoc and exploratory analytics * Build real-time data capture and ...
New
Consultant, Data & Analytics - New Grad
CA$60K - CA$92K/yr
Work with other engineers to enhance data models and improve data query efficiency; create complex data queries tofacilitatead hoc and exploratory analytics * Build real-time data capture and ...
New
R Developer
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 ...
Quick apply
R Developer
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 ...
Document all tests, defects, and resolutions in coordination with the Cx Program & Data Engineer. What We Are Looking For Deep experience with data centre or missioncritical electrical systems ...
Document all tests, defects, and resolutions in coordination with the Cx Program & Data Engineer. What We Are Looking For Deep experience with data centre or missioncritical electrical systems ...
Prior exposure to a statistical or scientific programming environment is helpful. If you don't have ... data pipeline tools. Excellent oral and written communication skills will help. You'll work with ...
Prior exposure to a statistical or scientific programming environment is helpful. If you don't have ... data pipeline tools. Excellent oral and written communication skills will help. You'll work with ...
Data Science Student
Edmonton, AB · On-site
... engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we'd like to hear why you'll be a good ...
Data Science Student
Edmonton, AB · On-site
... engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we'd like to hear why you'll be a good ...
... engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we'd like to hear why you'll be a good ...
... engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we'd like to hear why you'll be a good ...
As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our ... In collaboration with the Data Science team, you will ensure that models are deployed seamlessly ...
As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our ... In collaboration with the Data Science team, you will ensure that models are deployed seamlessly ...
Solutions Engineer
Edmonton, AB · On-site
CA$99K - CA$149K/yr
Qualify customer requirements for data center solutions including power, cooling, racks, containment, modular systems, and prefabricated data centers Solution Design & Engineering * Develop ...
Solutions Engineer
Edmonton, AB · On-site
CA$99K - CA$149K/yr
Qualify customer requirements for data center solutions including power, cooling, racks, containment, modular systems, and prefabricated data centers Solution Design & Engineering * Develop ...
Mechanical Engineer
Edmonton, AB · On-site
Join Silent-Aire - Powering the World's Data Centers Silent-Aire, a division of Johnson Controls ... Demonstrating your extensive knowledge of engineering principles, you will design, develop ...
Mechanical Engineer
Edmonton, AB · On-site
Join Silent-Aire - Powering the World's Data Centers Silent-Aire, a division of Johnson Controls ... Demonstrating your extensive knowledge of engineering principles, you will design, develop ...
Electrical Engineer
Edmonton, AB · On-site
Electrical Engineer About Us: Silent-Aire, a division of Johnson Controls, is a global leader in ... Design custom data center air handling units (AHU), liquid cooling equipment (CDU, pump skids), and ...
Electrical Engineer
Edmonton, AB · On-site
Electrical Engineer About Us: Silent-Aire, a division of Johnson Controls, is a global leader in ... Design custom data center air handling units (AHU), liquid cooling equipment (CDU, pump skids), and ...
... Engineer to bridge the gap between advanced data science, experimental machine learning, and ... Support connected data and intelligence capabilities aligned to the broader Total Assurance ...
... Engineer to bridge the gap between advanced data science, experimental machine learning, and ... Support connected data and intelligence capabilities aligned to the broader Total Assurance ...
Electrical Engineer
Edmonton, AB · On-site
We are seeking an electrical engineer to join our team. You will be part of the North American ... Design custom data center air handling units (AHU), liquid cooling equipment (CDU, pump skids), and ...
Electrical Engineer
Edmonton, AB · On-site
We are seeking an electrical engineer to join our team. You will be part of the North American ... Design custom data center air handling units (AHU), liquid cooling equipment (CDU, pump skids), and ...
Data Engineer information
See Edmonton, AB salary details
$60K - $71K
2% of jobs
$71K - $82K
6% of jobs
$82K - $93K
11% of jobs
$98K is the 25th percentile. Wages below this are outliers.
$93K - $104K
13% of jobs
$104K - $115K
14% of jobs
The median wage is $118.4K / yr.
$115K - $126K
14% of jobs
$126K - $137K
14% of jobs
$138.7K is the 75th percentile. Wages above this are outliers.
$137K - $148K
11% of jobs
$148K - $159K
7% of jobs
$159K - $170K
5% of jobs
$170K - $181K
3% of jobs
$60K
$122.6K
$181K
How much do data engineer jobs pay per year?
As of Jul 19, 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.
Is a data engineer a difficult job?
A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.
What is the difference between Data Engineer vs Data Scientist?
| Aspect | Data Engineer | Data Scientist |
|---|---|---|
| Primary Focus | Building and maintaining data pipelines and infrastructure | Analyzing data to extract insights and create models |
| Skills | SQL, ETL, programming (Python, Java), database management | Statistics, machine learning, data analysis, programming (Python, R) |
| Work Environment | Data warehouses, cloud platforms, backend systems | Data analysis environments, research labs, visualization tools |
| Common Tools | Apache Spark, Hadoop, Airflow, SQL | Jupyter, 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 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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.
What engineer makes $500,000 a year?
Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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 cities near Edmonton, AB are hiring for Data Engineer jobs? Cities near Edmonton, AB with the most Data Engineer job openings:
Full-time
Re-posted 19 hours ago
Job description
This position will play a key role in enhancing EPAs Digital Regulatory Assurance System. The position is in a high performing team, working in a fast-paced, agile environment.
A. Reducing duplication in EPEA and WA Monitoring Report Templates
Identify overlapping parameters, metrics, and calculations across monitoring and reporting templates across programs and regulatory regimes.
Define and maintain canonical data elements (e.g., facility, authorization, activity, parameter, time, location) to support consistent interpretation and reuse.
Rationalize template designs to reduce redundancy and prepare them for ingestion into standardized data structures.
B. Designing Streamlined Data Structures
Translate manual, upload oriented reporting templates into analytics ready data structures, including:
Object / fact tables (e.g., sample observations, measurements, monitoring events)
Dimension tables (e.g., facility, source, program, parameter, geography, time)
Lead and steward the Unified Business Object model for EPEA Approvals and related regulatory domains by defining:
Core business objects
Attributes and relationships
Authoritative definitions shared across DRAS and the DMP
Define structural standards, including:
Row level grain
Column and attribute consistency
Versioning, corrections, and historical traceability
Document and maintain a traceable record of architectural decisions and their rationale.
Translate finalized data model designs into engineering specifications (e.g., schemas, ingestion contracts, transformation expectations, and data quality rules)for the data engineering team, provide design guidance during pipeline build, review platform implementations for structural conformance and surface any deviation from canonical model intent before data reaches analytical layers.
C. Preparing Data for Advanced Analytics (Databricks)
Design data structures that support advanced analytical use cases, including:
Aggregation and roll ups
Trend analysis
Anomaly and outlier detection
Future machine learning and predictive use cases
Ensure data structures are:
Normalized where semantic clarity and governance are required
Denormalized where performance and analytical usability matter
Establish and maintain a structured model feedback loop with the data analysts, including regular review of validation findings, edge case reports, and prototyping results to inform schema evolution decisions.
Plan for schema evolution, enabling future environmental monitoring and reporting needs to be accommodated with minimal disruption while preserving analytical continuity.