ZipRecruiter

Log In

1

Data Structure Jobs in Alberta (NOW HIRING)

BuzzClan

Data Analyst

Calgary, AB · On-site

Maintain data structures, metadata, and documentation in approved data catalogues. * Support the implementation of data governance tools and workflows. * Collaborate with functional teams (Finance ...

New

Lifeworks

Data Conversion Lead

Edmonton, AB · On-site

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 ...

Lifeworks

Data Conversion Lead

Calgary, AB

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 ...

Hays

Data Governance Analyst

Calgary, AB · On-site

Maintain data structures, metadata, and documentation in approved data catalogues. * Support the implementation of data governance tools and workflows. * Collaborate with functional teams (Finance ...

Clio

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 ...

Fullscript

Senior Data Engineer

Calgary, AB · Remote

CA$11K - CA$140K/yr

Apply OCR and NLP techniques to extract structured signals from unstructured clinical documents * Implement data quality frameworks, testing, version control, and CI/CD for all ingestion and ...

Data Elephant Inc

Senior Power BI Lead

Calgary, AB

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 ...

Bird Construction

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 ...

Bird Construction

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 ...

Deloitte

Data Science Manager

Calgary, AB

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 ...

10 Percent Recruiting Ltd.

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.

emergiTEL Inc.

Data Architect - Senior

Edmonton, AB · Remote

The successful candidate will play a key role in designing and implementing enterprise data architecture, dimensional models, ETL processes, reporting structures, and data governance frameworks.

next page

Showing results 1-20

All JobsData Structure JobsData Structure Jobs in Alberta

Data Structure information

See Alberta salary details

$24K

$103.5K

$178K

How much do data structure jobs pay per year?

As of Jun 27, 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 profession makes $400,000 a year?

In the field of data structures, senior software engineers, data architects, and machine learning engineers with extensive experience and advanced skills can earn salaries around $400,000 annually, especially in high-cost living areas or large tech companies. These roles typically require strong programming skills, knowledge of algorithms, and often advanced degrees or certifications. Compensation varies based on location, company size, and individual expertise.

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 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 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 engineers make $500,000?

Senior software engineers, especially those working in high-demand areas like technology, finance, or specialized fields such as machine learning or cybersecurity, can earn $500,000 or more annually. Achieving this level typically requires extensive experience, advanced skills, and often stock options or bonuses in addition to base salary.

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 problem-solving skills to optimize data handling and performance.

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:
Data Structure jobs near you

Senior Data Architect - Data Modelling

Data Elephant Inc

Calgary, AB • On-site

Full-time

Posted 5 days ago

Job description

Data Elephant is seeking a Senior Data Architect with strong Data Modeling experience to support a client in designing and delivering scalable, high-quality data models within a modern cloud data platform. This role is critical in enabling trusted, performant, and business-aligned data for analytics, reporting, and advanced use cases.

You will work within an environment leveraging Azure, Databricks, and Power BI, collaborating with data engineers, analytics teams, and business stakeholders to define and implement best-in-class data modeling practices.


Key Responsibilities


Data Modeling & Architecture

  • Design and implement conceptual, logical, and physical data models aligned to business requirements
  • Develop dimensional models (star/snowflake schemas) for analytics and reporting use cases
  • Define and manage data structures within Databricks (Delta Lake)
  • Ensure models support scalability, performance, and reusability


Collaboration & Stakeholder Engagement

  • Partner with business stakeholders to translate requirements into robust data models
  • Work closely with data engineers to align modeling with ingestion and transformation pipelines
  • Support Power BI developers in optimizing semantic models and reporting performance


Governance & Standards

  • Establish and enforce data modeling standards, naming conventions, and best practices
  • Contribute to data governance frameworks, including lineage, metadata, and documentation
  • Ensure data models align with enterprise data architecture and security policies


Performance Optimization

  • Optimize data models for query performance and cost efficiency within Azure and Databricks
  • Support tuning of Power BI semantic models (e.g., aggregations, relationships, measures)


Documentation & Knowledge Sharing

  • Produce clear documentation for data models, definitions, and transformations
  • Mentor team members and promote data modeling best practices


Required Experience & Skills


Core Expertise

  • 7+ years of experience in data modeling and data architecture
  • Strong expertise in tools like Erwin, Hackolade, Data Vault
  • Dimensional modeling experience
  • Proven experience working in modern cloud data platforms like Azure, Databricks


Technology Stack

  • Azure Data Platform (e.g., ADLS, Azure Data Factory, Synapse - familiarity expected)
  • Databricks (Delta Lake, medallion architecture, Spark concepts)
  • Power BI (semantic modeling, DAX, dataset design)
  • Strong SQL skills and understanding of distributed data processing


Additional Capabilities

  • Experience designing models for large-scale, complex datasets
  • Strong understanding of data governance, lineage, and metadata management
  • Ability to balance business usability with technical optimization

Apply