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Senior Data Engineer Jobs in Alberta (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

Developer, Senior Associate

Calgary, AB ยท On-site

CA$87K - CA$137K/yr

The Opportunity As aDeveloper, Senior Associate,unlock your potential and embrace the chance to ... Bridge Cloud, Data, and AI delivery teams by providing software engineering depth, AI application ...

From high-performance data centers driving the future of AI to dynamic commercial environments ... The Sr Electrical Engineer may be involved in construction contract administration, site reviews on ...

From high-performance data centers driving the future of AI to dynamic commercial environments ... The Sr Mechanical Engineer may be involved in construction contract administration, site reviews on ...

From high-performance data centers driving the future of AI to dynamic commercial environments ... The Sr Mechanical Engineer may be involved in construction contract administration, site reviews on ...

Showing results 41-60

Senior Data Engineer information

See Alberta salary details

$77K

$137.9K

$187K

How much do senior data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior data engineer in Alberta is $137,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $156,000.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Alberta?

The most popular types of Data Engineer jobs in Alberta are:

What are popular job titles related to Senior Data Engineer jobs in Alberta?

For Senior Data Engineer jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in Alberta look for?

The top searched job categories for Senior Data Engineer jobs in Alberta are:

What cities in Alberta are hiring for Senior Data Engineer jobs?

Cities in Alberta with the most Senior Data Engineer job openings:

What are popular job titles related to Senior Data Engineer jobs in AB?

For Senior Data Engineer jobs in AB, the most frequently searched job titles are:

Infographic showing various Senior Data Engineer job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $137,866 per year, or $66.3 per hour.

Data Analytics Specialist (REMOTE) JP973

P@thlion Staffing Careers

Edmonton, AB โ€ข On-site, Remote

Full-time

Re-posted 5 days ago


Job description

Project Name:
Data Projects
Scope:
The Data and Content Management Division uses a one-government approach to information and privacy governance, decision-making, and service delivery across the Government of Alberta (GoA) balanced with individual client needs. This facilitates enhanced data access, collaboration, reduction in data duplication, and innovation to ensure effective and efficient services across the government to provide better services to Albertans.
The Data Centre of Excellence requires a resource to support the design and development of analytical data products & services to enable the GoA to better leverage its data assets support implementation of the GoA Data Strategy. Working within a team, this resource is an expert, and plays a key role in ensuring high-quality data modeling, applying algorithms, de-identification, synthetic data creation, visualizations and development of evidence for use across ministries and with external stakeholders. This role will enact the pillars of the Data Strategy by using data to benefit Albertans
The successful candidate will be a Data Analytics Specialist / Data Scientist with a diverse range of analytical skills and experience in working in multi-faceted roles. The role may have aspects of any or all the following: data analysis, data science, data modelling, statistical analysis, artificial intelligence (AI) & machine learning (ML), strategizing, advising, data product design and delivery. There may be aspects of data engineering, technical analysis, and business analysis.
Duties:
Provides hands-on support, leadership, advice and direction on the strategic data initiatives that are being undertaken as part of the Data Strategy. A critical responsibility is to coordinate with various internal and external clients to understand their analytics needs and how to use the data to best meet these needs. This resource is an expert in anticipating, identifying and responding to diverse and complex data analytic requirements across GoA departments and from external organizations, while also aligning with other areas of branch and broader department. Services and project deliverables should evolve as the work progresses, in response to emerging user and business needs, as well as design and technical opportunities. Works with Manager Analytics Capability Centre to:

Develop and share analytical models and products.
Provide continuous improvement of analytics capacities.
Design and support development of analytic service offerings.
Analyze and organize raw data, preparing it for prescriptive and predictive modeling, while building algorithms that deliver business value.
Support in development of full-stack data analytics or AI applications as required.
Provide expertise and leadership in the design and competition of analytic projects.
Evaluating business needs, enhancing data quality, and designing analytical tools to support our data services.
Conducting complex data analysis and collaborating with data engineers and analysts on various projects.
Coaching and mentorship team members, fostering a client-centric approach and encouraging innovative solutions.
Working closely with senior management to support a cultural shift toward data as a strategic asset and maintain effective relationships with internal and external stakeholders.
Create and present options, roadmaps, frameworks, models, and briefings for senior executives with regards to analytics services, based on best and emerging practices and principles.
Facilitate strategic conversations to develop shared understanding and generate options for decision-making to align diverse stakeholder interests and goals.
Develop baseline and ongoing outcomes, key results, metrics, and other indicators.
Work as part of a team responsible for the generalizable extraction of knowledge from data by applying various techniques and methodologies including probability models, machine learning, computer programming, statistics, data engineering, pattern recognition and learning, and data visualizations
Apply skills to provide insights, support decision-making and facilitate strategic business planning across the department.
Requires a focus on understanding predictive analytics and needs-based analytics strategies to simplify, consistently produce and re-use analytical models and assets to drive measurable value.
Provide executives and decision-makers with a deeper understanding of their operations, transactions, services and information required for them to identify new opportunities that can be uncovered through analytics.
Provide depth and insights on GoA's data assets and transform them into meaningful analytics for decision making
Bring knowledge of statistical classification techniques such as k-means and hierarchical clustering, partition trees, and logistic regression.
Integrate both quantitative and qualitative data to create business insights.
Design and create dashboards and custom reporting with various data sources and inputs.
Analyze data and prepare results.
Gather and document client requirements.
Capture business and technical metadata for analytical products.
Escalate issues and risks, as appropriate.
Work within a multi-vendor/staff environment.