Designing Streamlined Data Structures Translate manual, upload oriented reporting templates into analytics ready data structures, including: Object / fact tables (e.g., sample observations ...
Quick apply
Designing Streamlined Data Structures Translate manual, upload oriented reporting templates into analytics ready data structures, including: Object / fact tables (e.g., sample observations ...
Define and manage data structures within Databricks (Delta Lake) * Ensure models support scalability, performance, and reusability Collaboration & Stakeholder Engagement * Partner with business ...
Define and manage data structures within Databricks (Delta Lake) * Ensure models support scalability, performance, and reusability Collaboration & Stakeholder Engagement * Partner with business ...
Explain the TELUS Health data structure and business rules to the client. * Identify and track data gaps. * Propose changes to the TELUS Health conversion processes. * Review data quality and ...
Explain the TELUS Health data structure and business rules to the client. * Identify and track data gaps. * Propose changes to the TELUS Health conversion processes. * Review data quality and ...
Explain the TELUS Health data structure and business rules to the client. * Identify and track data gaps. * Propose changes to the TELUS Health conversion processes. * Review data quality and ...
Explain the TELUS Health data structure and business rules to the client. * Identify and track data gaps. * Propose changes to the TELUS Health conversion processes. * Review data quality and ...
Data Architect
Calgary, AB · Hybrid
CA$128K - CA$147K/yr
You'll turn raw product and business data (structured and unstructured) into high-quality, documented, and governed datasets and a semantic layer that enables analysts, data scientists, and AI agents ...
Data Architect
Calgary, AB · Hybrid
CA$128K - CA$147K/yr
You'll turn raw product and business data (structured and unstructured) into high-quality, documented, and governed datasets and a semantic layer that enables analysts, data scientists, and AI agents ...
Strong knowledge of algorithms and data structures, plus systems engineering fundamentals, reliability, performance, and debugging. * Hands on experience with data engineering platforms and tools ...
Strong knowledge of algorithms and data structures, plus systems engineering fundamentals, reliability, performance, and debugging. * Hands on experience with data engineering platforms and tools ...
Key Responsibilities Analyze, validate, and structure data from multiple sources. Identify data gaps and support data governance initiatives. Build and maintain SharePoint-based data solutions and ...
Key Responsibilities Analyze, validate, and structure data from multiple sources. Identify data gaps and support data governance initiatives. Build and maintain SharePoint-based data solutions and ...
Advocate for clean, reusable, and governed data structures DevOps & Deployment * Support and improve DevOps practices for Power BI, including version control, deployment pipelines, and lifecycle ...
Advocate for clean, reusable, and governed data structures DevOps & Deployment * Support and improve DevOps practices for Power BI, including version control, deployment pipelines, and lifecycle ...
Senior Data Analyst
Edmonton, AB · Hybrid
Senior Data Analyst Reporting to the Manager, Business Intelligence & Analytics, the Senior Data ... Manage multiple priorities simultaneously while maintaining quality, structure, and stakeholder ...
Senior Data Analyst
Edmonton, AB · Hybrid
Senior Data Analyst Reporting to the Manager, Business Intelligence & Analytics, the Senior Data ... Manage multiple priorities simultaneously while maintaining quality, structure, and stakeholder ...
Senior Data Analyst
Calgary, AB · Hybrid
Senior Data Analyst Reporting to the Manager, Business Intelligence & Analytics, the Senior Data ... Manage multiple priorities simultaneously while maintaining quality, structure, and stakeholder ...
Senior Data Analyst
Calgary, AB · Hybrid
Senior Data Analyst Reporting to the Manager, Business Intelligence & Analytics, the Senior Data ... Manage multiple priorities simultaneously while maintaining quality, structure, and stakeholder ...
Confirm that every dataset is structured and formatted for Spatial Cloud compatibility before it enters the platform. Data Preparation and Transformation Clean, transform, and organize spatial ...
Confirm that every dataset is structured and formatted for Spatial Cloud compatibility before it enters the platform. Data Preparation and Transformation Clean, transform, and organize spatial ...
Data Analyst (Remote) JP927
Edmonton, AB · Remote
Work with the Data Architect and manage data lakes and structured storage solutions using Azure Data Lake Storage Gen2, ensuring efficient access and governance. Integrate data from diverse source ...
Quick apply
Data Analyst (Remote) JP927
Edmonton, AB · Remote
Work with the Data Architect and manage data lakes and structured storage solutions using Azure Data Lake Storage Gen2, ensuring efficient access and governance. Integrate data from diverse source ...
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 ...
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 ...
CAL 3 Data Center Manager - Relocation Assistance Possible | Responsable du centre de donnes - Possi
Rocky View County, AB · On-site
Strong knowledge of structured cabling, networking, and connectivity standards. * Experience with CMMS, DCIM, and power metering systems. * Understanding of industry data center standards, policies ...
Quick apply
CAL 3 Data Center Manager - Relocation Assistance Possible | Responsable du centre de donnes - Possi
Rocky View County, AB · On-site
Strong knowledge of structured cabling, networking, and connectivity standards. * Experience with CMMS, DCIM, and power metering systems. * Understanding of industry data center standards, policies ...
Data Architect
Edmonton, AB · Remote
Manage current and future needs concerning data design, structure, content, and inventory. * Analyze, design, and support implementation for complex service requests. * Research business issues and ...
Data Architect
Edmonton, AB · Remote
Manage current and future needs concerning data design, structure, content, and inventory. * Analyze, design, and support implementation for complex service requests. * Research business issues and ...
The work is structured, repetitive, and detail-focused, requiring someone who can maintain accuracy ... Working closely with data, business, and technology teams, you will help identify, investigate ...
New
The work is structured, repetitive, and detail-focused, requiring someone who can maintain accuracy ... Working closely with data, business, and technology teams, you will help identify, investigate ...
New
The work is structured, repetitive, and detail-focused, requiring someone who can maintain accuracy ... Working closely with data, business, and technology teams, you will help identify, investigate ...
New
The work is structured, repetitive, and detail-focused, requiring someone who can maintain accuracy ... Working closely with data, business, and technology teams, you will help identify, investigate ...
New
Data Engineer
Edmonton, AB · Hybrid
Experience with SQL Server, including exceptional understanding of structured storage concepts. Exceptional understanding of big data storage concepts and applicable use of related technologies.
Data Engineer
Edmonton, AB · Hybrid
Experience with SQL Server, including exceptional understanding of structured storage concepts. Exceptional understanding of big data storage concepts and applicable use of related technologies.
Data Scientist
Calgary, AB · Hybrid
CA$131K - CA$150K/yr
Ability to write structured SQL queries for answering questions and manipulating data. * Demonstrate a keen interest in improving your craft by using AI Serious bonus points if you have:
Data Scientist
Calgary, AB · Hybrid
CA$131K - CA$150K/yr
Ability to write structured SQL queries for answering questions and manipulating data. * Demonstrate a keen interest in improving your craft by using AI Serious bonus points if you have:
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 ...
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 ...
Data Structure information
See Alberta salary details
$24K - $38K
11% of jobs
$38K - $52K
10% of jobs
$63.9K is the 25th percentile. Wages below this are outliers.
$52K - $66K
5% of jobs
$66K - $80K
5% of jobs
$80K - $94K
14% of jobs
The median wage is $98.8K / yr.
$94K - $108K
14% of jobs
$108K - $122K
9% of jobs
$122K - $136K
5% of jobs
$138.7K is the 75th percentile. Wages above this are outliers.
$136K - $150K
10% of jobs
$150K - $164K
12% of jobs
$164K - $178K
5% of jobs
$24K
$103.5K
$178K
How much do data structure jobs pay per year?
As of Jul 19, 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 are data structures?
Data structures are specialized formats for organizing, processing, and storing data in computers so that it can be accessed and modified efficiently. Common types include arrays, linked lists, stacks, queues, trees, and graphs. Each data structure is designed to solve specific types of problems and optimize certain operations such as searching, sorting, or inserting data. Understanding data structures is fundamental for programming and software development, as they directly impact the performance and scalability of applications.
What is the salary of a data structure?
A data structure is a fundamental concept in computer science and not a job role, so it does not have a salary. However, professionals skilled in data structures, such as software developers and data engineers, typically earn salaries ranging from $60,000 to over $120,000 annually depending on experience, location, and industry. Proficiency in algorithms, programming languages, and tools like Python or Java can influence earning potential.
What is the difference between Data Structure vs Data Analyst?
| Aspect | Data Structure | Data Analyst |
|---|---|---|
| Required Credentials | Computer Science degree, programming skills | Statistics, data analysis certifications, degree in related fields |
| Work Environment | Software development, programming, algorithm design | Business, finance, marketing, data interpretation |
| Industry Usage | Software engineering, computer science | Business 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 is a Data Structure job?
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 jobs use data structures?
Data structures are fundamental in many jobs related to software development, such as software engineers, data analysts, and database administrators. These roles require understanding and implementing data structures like arrays, trees, and graphs to optimize algorithms and manage data efficiently.
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 is a data structure job?
A data structure job involves designing, implementing, and maintaining data structures that organize and store data efficiently for software applications. These roles often require knowledge of algorithms, programming languages like Python or C++, and understanding of how data structures impact system performance.
What engineer makes $500,000 a year?
Senior software engineers, especially those working in high-demand areas like technology companies or specializing in fields such as machine learning or cloud computing, can earn $500,000 or more annually. Achieving this level typically requires extensive experience, advanced skills, and often stock options or bonuses as part of compensation packages.
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 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:
Full-time
Re-posted 15 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.