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Data Engineer Jobs in Jobs Calgary, AB (NOW HIRING)

Data Theorem

iOS Engineer, App Analysis

Calgary, AB · Remote

Data Theorem is an exciting company focused on creating a more secure world for data. Rooted in a strong engineer first culture, every employee has an impact on product and direction. We are ...

Targeted Talent

Senior Database Developer

Calgary, AB · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...

Targeted Talent

Senior Database Developer

Calgary, AB · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...

E Source

AI / ML Engineer

Calgary, AB · Remote

... Engineer to help shape how that impact shows up in the world ... E Source is a research, data/analytics, and technology focused professional services firm focused ...

Patch & Permasearch

Java Developer

Calgary, AB · Hybrid

Java Developer Hiring Type: Fulltime Permanent Position Location: Montreal, QC / Calgary, AB ... Data & SQL Optimization: Architect and fine-tune complex database queries, schema designs, joins ...

BigGeo

Spatial AI Engineer

Calgary, AB · On-site

... programmable, and actionable. Our platform removes the complexity that has kept spatial data locked ... They know what their data says, but not where or when things actually happen. That gap costs real ...

BigGeo

Platform Engineer (Software)

Calgary, AB · On-site

They know what their data says, but not where or when things actually happen. That gap costs real money, creates real risk, and limits what AI can actually do in the physical world.BigGeo exists to ...

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 ... developers, information designers, and business/industry leaders. You will be responsible for ...

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All JobsData Engineer JobsData Engineer Jobs in Jobs Calgary, AB

Data Engineer information

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What cities near Jobs Calgary, AB are hiring for Data Engineer jobs?

Cities near Jobs Calgary, AB with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Jobs Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Azure Databricks Engineer (4 days onsite - Calgary)

Hire DigITalent

Calgary, AB • Hybrid

Full-time

Re-posted 6 days ago

Key responsibilities

  • Design and develop Azure Databricks solutions using PySpark and SQL

  • Build and optimize batch and streaming data pipelines

  • Migrate legacy workloads from Synapse and other platforms into Databricks

Job description

Senior Azure Databricks Engineer (Contract)

Location: Calgary, AB (Onsite 4 days/week – downtown)

Term: 3–6 months

Engagement: Contract through a consulting firm delivering data engineering projects for multiple enterprise clients Industry: Oil & Gas (experience a plus, not required)

A leading Canadian consulting firm is seeking an experienced Databricks Engineer to support several high-impact client initiatives. This is a hands-on engineering role focused on designing, building, and optimizing data workloads on Azure Databricks, including large-scale migrations, platform modernization, and AI/ML enablement.

You will work directly with consulting delivery teams and enterprise client stakeholders in a fast-moving, collaborative environment. This role requires Calgary-based candidates who are comfortable being onsite 4 days per week.

Key Responsibilities

  • Design and develop Azure Databricks solutions using PySpark and SQL
  • Build and optimize batch and streaming data pipelines
  • Migrate legacy workloads from Synapse and other platforms into Databricks
  • Implement Delta Lake patterns (medallion architecture, CDC, data quality)
  • Integrate Databricks with Azure services such as ADLS, ADF, Azure Key Vault, and Azure DevOps/GitHub
  • Optimize performance and cost (cluster sizing, job orchestration, query tuning)
  • Collaborate with architects, analytics engineers, and client teams
  • Contribute to reusable accelerators, internal standards, and best practices
  • Support client enablement through documentation and knowledge transfer
  • Implement governance models and Unity Catalog (access controls, lineage, security frameworks)

Required Skills & Experience

  • 7+ years of data engineering experience
  • 4+ years of recent, hands-on Databricks engineering (Delta Lake, Unity Catalog, MLflow)
  • Strong experience building production pipelines using PySpark and SQL
  • Proven experience with Azure data services: ADLS, ADF, Synapse, Key Vault, Azure DevOps
  • Experience leading large-scale data migrations and ETL/ELT workload modernization
  • Strong understanding of lakehouse architecture, medallion patterns, and modern ELT/ETL approaches
  • Experience implementing CI/CD for data workloads
  • Strong understanding of enterprise data governance, security, and compliance
  • Excellent communication skills with comfort working directly with client teams
  • Previous consulting or professional services experience strongly preferred
  • Databricks and Azure certifications considered an asset

Ideal Candidate Profile

A strong, hands-on Azure Databricks engineer who:

  • Delivers high-quality, production-ready code
  • Understands modern data architecture and platform design
  • Communicates clearly with technical and non-technical stakeholders
  • Thrives in collaborative, client-facing environments
  • Is comfortable being onsite 4 days/week
  • Can contribute immediately to high-impact migration and modernization projects

Why This Role Stands Out

  • Contract through a delivery-focused consulting firm supporting multiple enterprise clients
  • Work on high-impact Oil & Gas data initiatives (migration, modernization, AI/ML enablement)
  • Exposure to advanced Databricks features and architecture patterns

Only qualified candidates will be contacted for next steps. Thank you in advance for your interest.