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Data Analytics Engineer Jobs in Alberta (NOW HIRING)

10 Percent Recruiting Ltd.

Data Engineer

Edmonton, AB · Hybrid

Work with Business Analysts and Developers to ensure the warehouse contains the appropriate data models to handle both analytical and system reporting needs. Ensure that data security and access to ...

United Airlines

Senior Data Engineer

Calgary, AB

CA$76K - CA$176K/yr

Job Summary We are seeking an experienced Data Engineer with strong expertise in Databricks, Apache ... AWS/GCP acceptable) Strong debugging and root cause analysis skills Familiarity with data modeling ...

Cenovus

Senior Commercial Data Advisor

Calgary, AB · On-site +1

Experience using Databricks for data engineering, analytics, and application development * Proficiency in data analytics and visualization tools (e.g., Power BI, Spotfire, R Studio, or similar)

Clio

Data Architect

Calgary, AB · Hybrid

CA$128K - CA$147K/yr

Partner with Data Engineering, RevOps, Product, and other stakeholders to set modeling standards, manage dbt access and ownership boundaries, and enable "self-service" analytics across the company.

Viridien

Machine Learning Engineer

Calgary, AB · On-site

Machine Learning Engineer Calgary, AB, Canada Full-time Company Description Viridien is a global ... Data Analytics * Quantitative Analysis * Web Scraping * Model Development Responsibilities:

360training

Data Engineer (Canada)

Calgary, AB · Remote

Data Engineer We are seeking an experienced and skilled Data Engineer to join our innovative and ... Strong analytical and problem-solving skills, with a passion for continuous learning and innovation.

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Alberta

Data Analytics Engineer information

See Alberta salary details

$65.5K

$117.1K

$197.5K

How much do data analytics engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data analytics engineer in Alberta is $117,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $132,000.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more 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 are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Alberta? The most popular types of Data Analytics Engineer jobs in Alberta are:
What are popular job titles related to Data Analytics Engineer jobs in Alberta? For Data Analytics Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Alberta look for? The top searched job categories for Data Analytics Engineer jobs in Alberta are:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Alberta as of June 2026, with employment types broken down into 58% Full Time, 35% Part Time, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $117,079 per year, or $56.3 per hour.

Data Engineer

10 Percent Recruiting Ltd.

Edmonton, AB • Hybrid

Other

Posted 5 days ago

Job description

Job Description Position Title: 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. Reporting to the Software Development Manager, for the first two years you will support their two-year program to implement a new core technology platform and following you will contribute to the overall growth of business intelligence functions. If you are passionate about the ability for technology to drive business performance and you love working various stakeholders to define and craft solutions that delights end users, this role is for you.

What You'll Do: Design and develop the enterprise analytics data warehouse (or equivalent technology). Build and maintain ETL pipelines that harvest data from operational systems and load the data into the warehouse. Work with Business Analysts and Developers to ensure the warehouse contains the appropriate data models to handle both analytical and system reporting needs.

Ensure that data security and access to data is applied as warranted. Work with 3rd party vendors to ingest and publish bulk data into and out of the warehouse as required. Administrate all aspects of the warehouse as required, including availability monitoring, performance monitoring, retention planning, user access, disaster planning, etc.

Work with development teams to ensure future data model changes in operational systems are incorporated into the warehouse. Ensure standards and best practices are incorporated into data solutions. Mandatories (must have to qualify): Post-secondary degree in business, information technology, or related field 10 years of experience working in a similar role responsible for EDW Development.

Experience in the implementation of Data Warehouse/Data Lake and ETL concepts in the cloud. Experience with SQL Server, including exceptional understanding of structured storage concepts. Exceptional understanding of big data storage concepts and applicable use of related technologies.

Exceptional communication skills across a range of forums and channels and stakeholders. Understanding and experience with unstructured data and related technologies would be considered an asset. Experience in highly regulated industries/financial services; experience in the insurance industry would be considered an asset.

If you are interested in this position and meet the above criteria, please click the 'Apply for Job' button below to send your resume securely and in confidence directly to the recruiter in charge of this position. We thank all applicants; however, only those selected for interviews will be contacted. All applicants must be legally entitled to work in Canada.

WE APPRECIATE YOUR INTEREST IN 10 PERCENT RECRUITING LTD. We invite you to become one of our satisfied candidates. 10 Percent Recruiting Ltd.

believes in transparency with our candidates and our employers; we understand that open communication and collaboration are fundamental to our success. Our professional recruiters are passionate about helping you find a fulfilling job or career and ensuring your complete satisfaction with our process. We are committed to actively building lasting relationships and building trust by listening, following through and keeping our word.

We look forward to exceeding your expectations. Learn more about 10 Percent Recruiting Ltd. and view our current job opportunities, career tips, and tools at https://10percentrecruiting.com

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