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Data Structure Jobs in Alberta (NOW HIRING)

Data Modeling & Dimensional Modeling - Strong experience with data modeling, Fact & Dimension design, dimensional models, data structures, business rules, and mapping specifications. * ETL & Data ...

This position plays a key role in improving vendor data quality, consistency, and structure by reviewing, matching, and maintaining vendor records within the organization's Master Data Management ...

New

Data Extraction & Structuring: Extract data from clientprovided PDFs using AIdriven tools and other technical solutions, converting unstructured and semistructured content into clean, structured data ...

Translate ambiguous business questions from leadership into structured analytical problems, choose ... Data Access and Transformation: * Extract, join, and transform data from HCW's data warehouse ...

Translate ambiguous business questions from leadership into structured analytical problems, choose ... Data Access and Transformation: * Extract, join, and transform data from HCW's data warehouse ...

Translate ambiguous business questions from leadership into structured analytical problems, choose ... Data Access and Transformation: * Extract, join, and transform data from HCW's data warehouse ...

You and your team will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will ...

Analyze and design pole and support structures constructed of wood, tubular steel, lattice steel ... Review and interpret geotechnical reports, survey data, mapping, and materials testing results to ...

Data Specialist

Calgary, AB · On-site

CA$60K/yr

Maintain clean, consistent, and well-organized data structures across all systems * Provide troubleshooting support and basic training to staff using these systems * Create and maintain simple ...

Analyze and design pole and support structures constructed of wood, tubular steel, lattice steel ... Review and interpret geotechnical reports, survey data, mapping, and materials testing results to ...

Experience with SQL Server, including exceptional understanding of structured storage concepts. Exceptional understanding of big data storage concepts and applicable use of related technologies.

Design dimensional and relational structures optimized for reporting and analytics. Data Modelling Understand and gather data and business requirements from various departments and division at MRU ...

Design and implement data models, schemas, and table structures optimized for performance, scalability, and long-term maintainability. * Write clean, efficient, and maintainable SQL and Python code ...

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Showing results 1-20

Data Structure information

See Alberta salary details

$24K

$103.5K

$178K

How much do data structure jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data structure in Alberta is $103,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $147,500.00 per year, depending on experience, location, and employer.

What is a data structure?

A Data Structure job typically involves designing, implementing, and optimizing data storage and retrieval mechanisms in software applications. Professionals in this role work with different data structures like arrays, linked lists, trees, and graphs to improve the efficiency of algorithms. They are often employed in software development, data engineering, or system architecture roles, ensuring that data is managed efficiently for various applications. Strong problem-solving skills and proficiency in programming languages like Python, Java, or C++ are essential for success in this field.

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

To thrive as a Data Structures Engineer, you need a solid understanding of algorithms, programming languages (such as Java, C++, or Python), and a formal education in computer science or a related field. Familiarity with version control systems like Git, debugging tools, and experience with relevant libraries or frameworks are typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you design efficient solutions and collaborate with other developers. These skills ensure robust, scalable software that meets performance requirements and supports business objectives.

What are some common challenges faced by professionals working with data structures in software development?

Professionals working with data structures often encounter challenges such as selecting the most efficient data structure for a specific application, optimizing memory usage, and ensuring code scalability as data volume grows. Collaboration with other team members, such as developers and data engineers, is essential to design robust solutions that balance performance and maintainability. Additionally, staying current with evolving algorithms and best practices helps address complex data manipulation tasks in real-world projects.

What is the difference between Data Structure vs Data Analyst?

AspectData StructureData Analyst
Required CredentialsComputer Science degree, programming skillsStatistics, data analysis certifications, degree in related fields
Work EnvironmentSoftware development, programming, algorithm designBusiness, finance, marketing, data interpretation
Industry UsageSoftware engineering, computer scienceBusiness intelligence, marketing, finance

Data Structures focus on organizing and storing data efficiently within software applications, requiring programming skills and technical knowledge. Data Analysts interpret data to provide insights, often using statistical tools and working closely with business teams. While Data Structures are foundational for software development, Data Analysts apply data to solve business problems. Both roles are essential in data-driven industries but serve different purposes and skill sets.

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

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

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

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

Infographic showing various Data Structure job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $103,455 per year, or $49.7 per hour.

Senior Data & Reporting Analyst

Calgary, AB • On-site, Remote

Alberta Health Services
Hospitals • 10K+ employees

CA$31.64 - CA$54.36/hr

Full-time

Posted 6 days ago


Job description

Your Opportunity:

The Contract Performance Monitoring Office (CPMO) works to ensure Albertans receive the right health care services, at the right time, in the right place, provided by the right health care providers and teams. This is achieved by supporting Provincial Health Agencies and Provincial Health Corporations by monitoring contractor compliance with the terms and conditions of their service agreement(s). The Senior Data & Reporting Analyst plays a crucial role in the CPMO by gathering information from various sources and transforming raw data into meaningful insights thereby helping the division make informed decisions. Focusing on report design and visualization, coupled with extensive experience in statistics and data analysis, the Senior Data and Reporting Analyst will show their expertise in transforming data into information. They will also support the development of business intelligence systems to store reporting data through their familiarity with business analysis and data warehousing concepts and tools.

Description:

Creating Reports and Visualizations: Uses business intelligence (BI) tools and software (in particular Tableau and Tableau Prep) to plan, design, build, and implement unique reports and data visualizations for contracted service industries. Data Analysis and Interpretation: Uses raw data to create reports for management teams. Pulls data from various sources, organizes and analyzes it, and identifies trends, inconsistencies, and areas for improvement. Data Integrity Auditing: Performs regular audits to ensure the accuracy, consistency, security, and quality of data across platforms and databases. Advisory: Uses expertise and recommendations to guide the design and data structure for automated reporting systems and tools. Identifies areas of opportunity / enhancements for current data gathering, data modeling, data management, data storage, and reporting processes. Makes recommendations for automation functions to streamline manual processes. Participates in process improvement activities, identifies current and future requirements for continual improvement. Planning & Development: Collaborates with stakeholders to design, develop, implement and continuously improve the existing contracted service provider performance management program to provide consistent and effective service excellence to stakeholders and end users and contracted service providers.

  • Transition Company: Health Shared Services
  • Classification: Advisor
  • Union: Exempt
  • Unit and Program: Contracting, Procurement and Supply Management
  • Primary Location: East Lake Centre
  • Location Details: Eligible to work remotely within Alberta
  • Employee Class: Regular Full Time
  • FTE: 1.00
  • Posting End Date: 28-AUG-2026
  • Date Available: 08-SEP-2026
  • Hours per Shift: 7.75
  • Length of Shift in weeks: 2
  • Shifts per cycle: 10
  • Shift Pattern: Days
  • Days Off: Saturday/Sunday
  • Minimum Salary: $31.64
  • Maximum Salary: $54.36
  • Vehicle Requirement: Not Applicable
Required Qualifications:

A degree in one or more of the following: Information Technology, Information Systems, Computer Sciences, or a related field (statistics, math, engineering). Extensive experience with Tableau and/or Power BI. Proven experience in designing and implementing dashboards using data visualization tools. Proven experience with data administration, automation, and data management. Solid understanding of basic programming languages. In-depth knowledge of data management software, data operations, and analytical tools.


Additional Required Qualifications:

Exceptional data analysis and research skills. Strong communication and teamwork skills. Attention to detail and the ability to maintain data accuracy. Excellent organizational skills. Continuous learning through workshops or seminars on the latest data management practices is common, ensuring Senior Data & Reporting Analysts stay updated on industry standards and technologies.


Preferred Qualifications:

As Required.