1

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

You will work closely with Data Engineers, domain experts, and cross-functional stakeholders to build scalable analytical products and deliver value through iterative MVP-based releases. Key ...

We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Senior Manager - Data Engineering

Calgary, AB ยท On-site +1

CA$120K - CA$160K/yr

Partner with the Lead Data Engineer on system design of our application databases and services, mapping the interactions critical to the warehouse. * Raise engineering standards across data and ...

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree; * Strong database proficiency (e.g ...

Data Architect

Calgary, AB ยท Hybrid

CA$128K - CA$147K/yr

This is a hands-on senior engineering role that blends deep SQL and modeling expertise with product ... Translate raw data into well-tested, performant datasets and reusable building blocks for ...

next page

Showing results 1-20

Data Engineer Data information

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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 solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.

Data Engineer (Microsoft Fabric) - Remote Contract (Canada Only) - DE 0608 KC#01

NavitasPartners

Calgary, AB โ€ข Remote

Other

Posted 8 days ago


Job description

Job Title: Data Engineer (Microsoft Fabric) - Remote Contract (Canada Only)Location: Remote (Candidates must be based in Canada)Duration: 6-Month ContractIndustry: Healthcare Technology
Role Overview

We are seeking a highly skilled Data Engineer with strong Microsoft Fabric expertise to join a leading healthcare technology client on a 6-month remote contract. This role is ideal for professionals who are passionate about building modern data platforms and delivering end-to-end data engineering solutions in a dynamic and evolving environment.


Key Responsibilities
  • Design, develop, and maintain scalable data solutions using Microsoft Fabric
  • Implement and manage Lakehouse architectures, including OneLake and DirectLake
  • Build and optimize data pipelines supporting end-to-end data engineering workflows
  • Deploy and manage solutions using Fabric deployment pipelines
  • Collaborate with cross-functional teams to deliver high-quality data products
  • Ensure data quality, governance, and performance optimization across the platform
  • Contribute to the transformation of modern data infrastructure within the organization

Required Skills & Experience
  • Proven experience working with Microsoft Fabric
  • Strong hands-on expertise in:
    • Lakehouse architecture
    • OneLake and DirectLake
    • Fabric deployment pipelines
  • Demonstrated experience delivering end-to-end data engineering solutions (beyond Synapse and Power BI)
  • Proficiency in data modeling, ETL/ELT processes, and data pipeline orchestration
  • Strong problem-solving skills and ability to work independently in a remote environment

Preferred Qualifications
  • Experience in healthcare or health-tech environments
  • Familiarity with data governance, compliance, and security standards in regulated industries
  • Exposure to modern cloud-based data ecosystems and architecture patterns

For more details reach at resumes@navitassols.com.

About Navitas Partners, LLC: It is a certified WBENC and one of the fastest-growing healthcare staffing firms in the US providing Medical, Clinical and Non-Clinical services to numerous hospitals. We offer the most competitive pay for every position we cater. We understand this is a partnership. You will not be blindsided, and your salary will be discussed upfront.