Data Engineer II
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
High value role due to strong demand for data engineers, competitive salary, and focus on advanced data technologies.
- Competitive salary: CAD $85,000–CAD $166,800/year
- Engage with advanced data processing technologies
- Growth potential in cloud and analytics fields
Pros
- Attractive salary range (CAD $85,000–CAD $166,800/year)
- Involvement with large-scale data systems and analytics
- Opportunities for skill enhancement in cloud and big data technologies
Cons
- High expectations for technical proficiency
- Possibility of tight deadlines on data projects
- Limited senior guidance available initially
Who it's for
Mid-Level • Hybrid, with 3 days in-office
Good fit
- Mid-level data engineers with big data skills
- Individuals eager to work at Microsoft
- Tech-savvy professionals passionate about data solutions
Not recommended for
- Entry-level professionals without data engineering experience
- Those who favor strictly remote work
- Candidates uninterested in hands-on data tasks
Motivation fit
Key skills
About the job
Data Engineer II
Vancouver, British Columbia, Canada
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Overview
We are looking for a Data Engineer II to join our Data Engineering team in Vancouver, Canada. You will grow your skills working on highly scalable systems and latest technologies, processing petabytes of data daily with Microsoft Fabric, Azure Data Lake and Azure Data Explorer. You will collaborate closely with data science to derive actionable insights and influence our product and growth strategy.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Qualifications
Required Qualifications:
- Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering
- OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling, or data engineering
- OR equivalent experience.
- 2+ years of big data experience with Apache Spark.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Experience in any of the following languages or equivalent language: Scala, C#, Java, Python, Rust.
- Experience with Azure cloud.
- Experience in other big data technologies.
- Data driven, customer focused, and organized.
- Experience operationalizing and supporting services.
Data Engineering IC3 - The typical base pay range for this role across Canada is CAD $85,000 - CAD $166,800 per year.
Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html
Microsoft will accept applications for the role until November 21st, 2025.
Responsibilities
- With guidance, you’ll implement basic code to extra raw data, validate its quality, and ensure the correct data is ingested across multiple areas of work. You’ll also apply standard modification techniques to transform raw data into forms compatible with downstream data sources.
- You will design and maintain assigned data tools that are used to transform, manage, and access data. You’ll also write code to validate the storage and availability of data platforms so that they’re more resilient.
- You will follow existing documentation to implement performance monitoring protocols across a data pipeline, building basic visualizations and aggregations to monitor pipeline health. You’ll also implement solutions and improvements that minimize points of failure across a product feature.
- You will follow data modeling and handling procedures to maintain compliance with all applicable laws and policies across your assigned workstreams. You’ll also govern data accessibility within your assigned pipelines and models.
