ZipRecruiter

Log In

1

Data Jobs in Alberta (NOW HIRING)

ShyftLabs

Data Engineer

Calgary, AB · On-site

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies . We deliver digital solutions built to help accelerate the growth of ...

10 Percent Recruiting Ltd.

Data Engineer

Edmonton, AB · Hybrid

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.

Deloitte

Data Science Manager

Calgary, AB · On-site

As a Data Science Manager, you will play a key role in leading the delivery, building capabilities, and pursuing new data science opportunities in high-growth areas including retail analytics ...

Canadian Natural

Data Science Student

Calgary, AB

Join our team as you dive into the world of data science and industrial operations! As part of our Control Systems team, you'll support a team accountable for the reliability and availability of all ...

Canadian Natural

Data Science Student

Calgary, AB

Join our team as you dive into the world of data science and industrial operations! As part of our Control Systems team, you'll support a team accountable for the reliability and availability of all ...

PCL Construction

Data Science Student

Edmonton, AB · On-site

We are seeking a Data Science Student for our Canadian Industrial Division district office in Edmonton, AB, that is availablefor 4, 8, or 12 months starting in January, 2027 , Year.This position ...

PCL Construction

Data Science Student

Edmonton, AB

We are seeking a Data Science Student for our Canadian Industrial Division district office in Edmonton, AB, that is available for 4, 8, or 12 months starting in January, 2027 , Year. This ...

PCL Construction

Data Science Student

Edmonton, AB · On-site

We are seeking a Data Science Student for our Canadian Industrial Division district office in Edmonton, AB, that is available for 4, 8, or 12 months starting in January, 2027 , Year. This ...

Aurora Cannabis

Data Engineer Division: IT Job location: Remote (Canada) Hours: 40 hours per week, Monday to Friday Employment type: Temporary (12-month contract) Salary: $86,000 - $106,000 A little about us Aurora ...

Bits In Glass

Sr. Data Engineer

Edmonton, AB · On-site

Our portfolio spans 10+ top technologies across business applications, data, process, cloud, and AI. At Bits In Glass, you'll do meaningful work with a supportive, driven team that loves to ...

Chandos

Financial Data Analyst

Edmonton, AB

Job Summary The Financial Data Analyst plays a key role in supporting financial and operational decision-making by developing reporting solutions, analyzing data, and improving reporting processes ...

Bits In Glass

Sr. Data Engineer

Calgary, AB · On-site

Our portfolio spans 10+ top technologies across business applications, data, process, cloud, and AI. At Bits In Glass, you'll do meaningful work with a supportive, driven team that loves to ...

Seequent

Senior Data Scientist

Calgary, AB · Hybrid

As a Senior Data Scientist, you will contribute to a multi-disciplinary team with your expertise in generative AI, agentic AI, machine learning and data though novel and creative applications in ...

Targeted Talent

Senior Data Scientist

Edmonton, AB · Remote

We are looking for an experienced Senior Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - ...

previous pagenext page

Showing results 21-40

All JobsData JobsData Jobs in Alberta

Data information

See Alberta salary details

$9

$33

$78

How much do data jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for data in Alberta is $33.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $47.36 per hour, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.
More about Data jobs

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

The most popular types of Data jobs in Alberta are:

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

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

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

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

What cities in Alberta are hiring for Data jobs?

Cities in Alberta with the most Data job openings:

Data jobs near you
Infographic showing various Data job openings in Alberta as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 20% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $69,346 per year, or $33.3 per hour.

Data Engineer

Calgary, AB • On-site

ShyftLabs
See more jobs at ShyftLabsexternal

Full-time

Medical, Dental, Vision

Re-posted yesterday

Job description

Position Overview

We are looking for an experienced and versatile Data Engineer to join our dynamic and fast-growing team. If you are passionate about data, solving complex problems, and working directly with enterprise stakeholders to translate business needs into scalable technical solutions, this role could be the perfect fit.

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses across various industries by focusing on creating value through innovation.

In addition to strong technical expertise, we are seeking someone with strong business awareness and the ability to lead client and stakeholder communication. The ideal candidate will be comfortable collaborating with enterprise-level clients, translating complex technical concepts into business outcomes, and ensuring alignment between engineering execution and strategic objectives.

Job Responsibilities

  • Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using cloud services such as GCP Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer.

  • Architect and implement robust data infrastructure capable of handling high-volume data ingestion and processing.

  • Develop and manage our central data warehouse in Google BigQuery.

  • 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 to transform raw data into curated, analysis-ready datasets.

  • Build reliable transformation workflows that support analytics, reporting, and data science initiatives.

  • Monitor, troubleshoot, and optimize data infrastructure to ensure high performance, reliability, and cost efficiency.

  • Implement BigQuery best practices, including partitioning, clustering, query optimization, and materialized views.

  • Build and maintain curated data models that serve as the "source of truth" for business intelligence and reporting.

  • Ensure data is optimized and readily accessible for BI tools such as Looker and other analytics platforms.

  • Implement automated data quality checks, validation rules, and monitoring frameworks to ensure the integrity and reliability of data pipelines and warehouse systems.

  • Establish processes for data governance, observability, and lineage tracking.

  • Work closely with software engineers, data analysts, and data scientists to understand their data requirements and provide the necessary infrastructure and data products.

  • Lead and support client and stakeholder communication, working with enterprise clients to translate business needs into scalable data solutions.

  • Partner with product teams and leadership to ensure that technical data solutions align with business strategy and client expectations.

  • Take ownership of data platforms and architecture decisions, helping shape the future direction of our analytics and data infrastructure.

  • Identify opportunities to improve data reliability, automate workflows, and generate new insights through data.

  • Contribute to a collaborative, high-performing engineering culture with strong communication and teamwork.

Basic Qualifications

  • 5+ years of hands-on experience in data engineering, data integration, or data platform development.

  • Degree in Computer Science, Engineering, Mathematics, or related STEM discipline.

  • Strong programming and query skills in SQL and Python.

  • Experience working with distributed version control systems such as Git in an Agile/Scrum environment.

  • Experience designing and orchestrating ETL pipelines, particularly with Databricks.

  • Experience working within cloud environments (GCP, AWS, or Azure).

  • Experience with database systems such as MongoDB and Elasticsearch.

  • Strong understanding of data warehousing and dimensional modeling methodologies.

  • Hands-on experience with Airflow and Hadoop.

  • Experience using Docker for containerized workflows and reproducible environments.

  • Ability to identify opportunities to improve data quality, reliability, and automation.

  • Strong business awareness and communication skills, with the ability to collaborate with both technical teams and business stakeholders.

  • Experience within the retail industry is a plus.

Preferred Qualifications

  • Master's degree in Computer Science, Engineering, or related discipline.

  • Experience working with enterprise-scale data platforms and Fortune 500 clients.

  • Familiarity with Druid and its Python API, including Kafka integrations.

  • Strong experience using Apache Spark for large-scale data processing.

  • Experience designing real-time streaming data architectures.

  • Experience working with AI-driven platforms, data infrastructure supporting AI/ML systems, or agentic AI workflows

Why You'll Love Working at ShyftLabs
 
At ShyftLabs, your work matters. We're a growing data product company making a big impact with Fortune 500 clients and as we scale, you'll have the chance to shape solutions, influence strategy, and grow your career alongside us.
 
Here's what you can expect when you join our team:
-Work Arrangement: This role is currently fully remote, providing flexibility to work from home. As the team and organization continue to grow, there may be an opportunity for the role to transition into a hybrid work model in the future, with occasional in-office collaboration.
-Comprehensive Benefits: We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs. Eligibility starts from day one itself.
-Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.
 
Inclusion at ShyftLabs
 
We're building something big, and we want you on the journey with us. If you're ready to use data and innovation to make an impact, apply today and let's grow together.
 
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we'll be happy to support you.
apply for this job

Apply