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Analytic Engineer Jobs in Alberta (NOW HIRING)

Go Auto

Jr. Analytics Developer

Edmonton, AB

Jr. Analytics Developer - Go Auto Corporate (Mayfield) The Opportunity We strive to stay at the forefront of data-driven decision-making and are seeking a curious and enthusiastic Jr. Analytics ...

Go Auto

Jr. Analytics Developer

Edmonton, AB

Jr. Analytics Developer - Go Auto Corporate (Mayfield) The Opportunity We strive to stay at the forefront of data-driven decision-making and are seeking a curious and enthusiastic Jr. Analytics ...

Go Auto

Jr. Analytics Developer

Edmonton, AB · On-site

Jr. Analytics Developer - Go Auto Corporate (Mayfield) The Opportunity We strive to stay at the forefront of data-driven decision-making and are seeking a curious and enthusiastic Jr. Analytics ...

Egis Group

Senior Bridge Engineer

Calgary, AB · On-site

The position involves structural analysis, engineering design, technical review, stakeholder coordination, and project management for transportation structures. Responsibilities include preparation ...

Egis Group

Senior Bridge Engineer

Edmonton, AB

The position involves structural analysis, engineering design, technical review, stakeholder coordination, and project management for transportation structures. Responsibilities include preparation ...

Egis Group

Senior Bridge Engineer

Grande Prairie, AB · On-site

The position involves structural analysis, engineering design, technical review, stakeholder coordination, and project management for transportation structures. Responsibilities include preparation ...

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Showing results 1-20

All JobsAnalytic Engineer JobsAnalytic Engineer Jobs in Alberta

Analytic Engineer information

What is the difference between Analytic Engineer vs Data Engineer?

AspectAnalytic EngineerData Engineer
CredentialsTypically requires a degree in data science, statistics, or related fields; often certifications in SQL, Python, or cloud platformsRequires a degree in computer science, software engineering, or related fields; certifications in cloud services, SQL, and data pipeline tools
Work EnvironmentFocuses on analyzing data, building data models, and creating dashboards; collaborates with data scientists and business teamsBuilds and maintains data pipelines, databases, and infrastructure; works closely with data engineers and software developers
Industry UsageCommonly found in analytics teams, business intelligence, and data-driven decision-making rolesPrimarily in data infrastructure, big data projects, and data platform development

In summary, Analytic Engineers focus on transforming data into insights through analysis and modeling, while Data Engineers build the infrastructure to support data collection and storage. Both roles are essential in data teams but serve different functions within the data ecosystem.

Are analytic engineers in demand?

Analytic engineers are in high demand due to the increasing reliance on data-driven decision making across industries. They often require skills in SQL, data modeling, and tools like Python or Spark, and employment opportunities are expected to grow as organizations prioritize analytics and data infrastructure.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like dbt or Looker, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What does an analytic engineer do?

An analytic engineer designs, develops, and maintains data pipelines and systems to collect, process, and analyze large datasets. They often work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for business insights and decision-making.
Analytic Engineer jobs near you
Infographic showing various Analytic Engineer job openings in Alberta as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.

Databricks Engineer (Contract)

Data Elephant Inc

Calgary, AB • On-site

Contractor

Re-posted 10 days ago

Job description

We are seeking an experienced Databricks Engineer to join our delivery team on a contract basis to design, build, and optimize modern data platforms on Azure Databricks. In this strategic role, you will work directly with both Data Elephant and client data and analytics teams, helping them migrate, modernize, and scale their data workloads while applying best practices in data engineering, security, ML, AI and data governance. This is a hands-on engineering role with strong exposure to architecture decisions, client interaction, and end-to-end delivery.


Responsibilities

  • Play an integral project team role in the implementation of modern data platforms and architectures on Databricks (including ETL, workload migrations, and Unity Catalog).
  • Design and implement data pipelines using Azure Databricks (PySpark, SQL)
  • Build and optimize batch and streaming data workloads
  • Migrate legacy data workloads to Azure + Databricks
  • Implement Delta Lake patterns (medallion architecture, CDC, data quality)
  • Integrate Databricks with Azure services such as ADLS, ADF, Azure Key Vault and DevOps/Github
  • Optimize performance and cost (cluster sizing, job orchestration, query tuning)
  • Collaborate with solution architects, analytics engineers, and client stakeholders
  • Contribute to reusable accelerators, standards, and internal best practices
  • Support client enablement through knowledge transfer and documentation
  • Provide hands-on solution delivery, including guiding and working closely with client engineers and ensuring best practices.
  • Implement governance models and Unity Catalog including data access, lineage, and security frameworks.


QUALIFICATIONS

  • 7+ years of experience in data engineering.
  • 4+ years of recent, hands-on experience building production solutions with Databricks, including advanced features such as Delta Lake, Unity Catalog, and MLflow.
  • Strong experience developing data pipelines using PySpark and SQL.
  • Proven experience leading large-scale data migrations, including ETL workloads and cloud platform migrations.
  • Strong expertise with Microsoft Azure and experience working with Azure data services, including ADLS, Azure Data Factory (ADF), Synapse Analytics, Azure Key Vault, and Azure DevOps.
  • Strong understanding of modern data architectures, including lakehouse, medallion architecture, and ELT/ETL.
  • Experience implementing CI/CD practices for data workloads.
  • Strong understanding of enterprise data governance, security, and compliance best practices.
  • Excellent communication skills with experience working directly with client teams.
  • Previous consulting or professional services experience is strongly preferred.
  • Databricks and Microsoft Azure certifications are considered an asset.


Be part of Canada's leading boutique consulting firm focused on Databricks and modern data platforms.

  • Work on challenging, high-impact projects with mid-sized and enterprise clients across industries
  • Collaborate with a senior, high-performing team that values speed, pragmatism, and client success.


This role requires regular onsite work at a client location in Calgary.

Apply