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Weekend Data Engineer Contract Jobs in Calgary, AB

Senior Manager - Data Engineering

Calgary, AB · On-site +1

CA$120K - CA$160K/yr

Lead the build-out of Canada's Gold/semantic consumption layer with data contracts and SLAs, and retire the legacy analytics warehouse. * Partner with the Lead Data Engineer on system design of our ...

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 ...

Inspect subordinates' work for compliance with the contract plans and specifications, point out ... Work overtime and weekends as required. We offer our fulltime staff employees a comprehensive ...

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.

Assembly of electrical panels and wiring harnesses according to engineering drawings and ... provider for data centers, supercomputers, and desktop computers. We design and manufacture ...

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Weekend Data Engineer Contract information

What is a Weekend Data Engineer Contract?

A Weekend Data Engineer Contract is a temporary or freelance position where a data engineer works primarily on weekends. These roles typically involve building, maintaining, or optimizing data pipelines and databases, ensuring data quality, and supporting analytics needs during weekend shifts. This setup is often used by companies that require continuous data operations or have projects with tight deadlines. Weekend contracts can provide flexibility for both the engineer and the employer, and may be ideal for those seeking additional income or balancing other commitments.

What is the difference between Weekend Data Engineer Contract vs Weekend Data Analyst Contract?

AspectWeekend Data Engineer ContractWeekend Data Analyst Contract
Required CredentialsTypically requires a degree in Computer Science, Data Engineering certifications, SQL, Python, and cloud platform knowledgeUsually requires a degree in Data Science, Statistics, or related fields, with proficiency in SQL, Excel, and data visualization tools
Work EnvironmentPrimarily technical, involving building data pipelines, ETL processes, and data infrastructureFocuses on analyzing data, generating reports, and providing insights for decision-making
Employer & Industry UsageUsed in tech companies, finance, healthcare, and industries with large data needsCommon in marketing agencies, retail, finance, and any sector requiring data reporting

Weekend Data Engineer Contracts involve building and maintaining data infrastructure, requiring technical skills and certifications. In contrast, Weekend Data Analyst Contracts focus on analyzing data and creating reports. Both roles are in demand across various industries but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Weekend Data Engineer Contractor, and why are they important?

To thrive as a Weekend Data Engineer Contractor, you need strong proficiency in data engineering principles, including ETL processes, database management, and programming languages like Python or SQL, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and relevant certifications (e.g., AWS Certified Data Analytics) is typically required. Strong problem-solving, effective communication, and the ability to work independently are crucial soft skills for this role. These skills and qualifications ensure high-quality, reliable data solutions are delivered efficiently during limited weekend hours, meeting project deadlines and client expectations.

What are some common challenges faced by Weekend Data Engineer Contractors, and how can they overcome them?

Weekend Data Engineer Contractors often encounter challenges such as limited access to stakeholders, tight turnaround times, and ensuring smooth handovers with weekday teams. To address these, clear documentation, proactive communication, and strong version control practices are essential. Working autonomously but staying aligned with the broader data engineering team helps ensure continuity and quality in deliverables.

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

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

Databricks Engineer (Contract)

Data Elephant Inc

Calgary, AB

Contractor

Posted 20 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.