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

This is an initial 4-6-month contract focused on analyzing and resolving significant data ... Support developers during remediation and validate that implemented fixes resolve the underlying ...

From high-performance data centers driving the future of AI to dynamic commercial environments ... The Sr Electrical Engineer may be involved in construction contract administration, site reviews on ...

From high-performance data centers driving the future of AI to dynamic commercial environments ... The Sr Mechanical Engineer may be involved in construction contract administration, site reviews on ...

From high-performance data centers driving the future of AI to dynamic commercial environments ... The Sr Mechanical Engineer may be involved in construction contract administration, site reviews on ...

Perform construction contract administration. * Prepare documentation for design projects and ... Gathers and correlates basic engineering data using established and well-defined procedures.

Work closely with the Contracts Lead to ensure engineering inputs align with commercial and ... We connect people, data and technology to transform the world's infrastructure and energy systems.

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Contract Ibm Data Engineer information

What is the difference between Contract Ibm Data Engineer vs Contract Spark Data Engineer?

AspectContract Ibm Data EngineerContract Spark Data Engineer
Required CredentialsTypically requires IBM certifications, SQL, Python, and data engineering skillsRequires Spark certifications, SQL, Python/Scala, and data processing skills
Work EnvironmentOften in enterprise settings using IBM Cloud, Watson, or IBM DataStageCommonly in big data environments using Apache Spark on cloud or on-premises
Employer & Industry UsageUsed by organizations leveraging IBM data platforms in finance, healthcare, and enterprise sectorsUsed by companies focusing on big data analytics, AI, and scalable data processing

The main difference between a Contract Ibm Data Engineer and a Contract Spark Data Engineer lies in the technology stack and platform focus. IBM Data Engineers work primarily with IBM-specific tools and cloud services, while Spark Data Engineers focus on big data processing with Apache Spark. Both roles require strong data engineering skills, but their platform expertise and typical industry applications differ.

What are the most commonly searched types of Ibm Data Engineer jobs in Calgary, AB?

The most popular types of Ibm Data Engineer jobs in Calgary, AB are:

What job categories do people searching Contract Ibm Data Engineer jobs in Calgary, AB look for?

The top searched job categories for Contract Ibm Data Engineer jobs in Calgary, AB are:

Infographic showing various Contract Ibm Data Engineer job openings in Calgary, AB as of July 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Databricks Engineer (Contract)

Data Elephant Inc

Calgary, AB

Contractor

Posted 29 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.