Data Engineer II – Amazon – Vancouver, BC

At the cutting edge of conversational AI, Amazon’s Alexa Audio Data and Insights team is looking for a Data Engineer II to join their Vancouver, BC office. This is a rare opportunity to work directly on next-generation audio features — spanning Music, Radio, Podcasts, Books, and more — that reach millions of customers worldwide. If you’re the kind of engineer who gets energized by massive datasets and disruptive AI, this role was built for you.

Day to day, you’ll be building and managing scalable data pipelines, working alongside data scientists, BI engineers, and product teams to transform complex data into meaningful, actionable insights. The work sits squarely at the intersection of advanced AI technologies and real customer impact, contributing directly to the evolution of Alexa+.

About the Role: Data Engineer II, Alexa Audio

As a Data Engineer II on the Alexa Audio team, you’ll take ownership of designing and maintaining robust data architectures that power next-generation audio experiences. You’ll develop end-to-end ETL pipelines, automate data workflows, and implement quality controls that keep Amazon’s data ecosystem running with precision and reliability.

Collaboration is central to this role. You’ll work cross-functionally with product management, design, engineering, Business Intelligence, and data science teams to translate business requirements into data-driven solutions. You’ll also play a key role in integrating advanced AI systems into Alexa Audio’s core capabilities, ensuring a seamless experience for customers.

Benefits and Salary

The base salary for this Data Engineer II role in Vancouver, BC ranges from $103,300 to $172,600 CAD annually. As a total compensation company, Amazon’s package may also include sign-on payments and restricted stock units (RSUs), with final compensation determined by experience, qualifications, and location. Amazon offers a comprehensive benefits package that includes health insurance (medical, dental, vision, prescription, and basic life & AD&D), a Registered Retirement Savings Plan (RRSP), a Deferred Profit Sharing Plan (DPSP), paid time off, and a range of resources to support health and well-being.

Responsibilities

As a Data Engineer II on the Alexa Audio team, your work will span the full data lifecycle — from ingestion and transformation to quality assurance and delivery. These responsibilities are critical to ensuring that Amazon’s audio features are powered by accurate, timely, and accessible data at scale.

• Design and build robust data architectures and pipelines in close collaboration with data scientists, BI engineers, and software engineers
• Develop scalable ETL pipelines to extract, transform, and load data from a variety of sources
• Translate business requirements into data-driven solutions by collaborating with stakeholders across the organization
• Automate data processing and reporting workflows to improve efficiency and maintain data integrity
• Implement data quality checks and monitor pipelines to ensure consistently high data accuracy
• Develop data cubes and sharing solutions to improve the accessibility, clarity, and usability of large, complex datasets
• Build fault-tolerant, automated data solutions using technologies such as Spark, EMR, Python, Redshift, AWS Glue, and S3

Requirements / Skills

The ideal candidate brings solid hands-on experience with large-scale data engineering, a deep understanding of SQL and data modelling, and a genuine interest in working with cutting-edge AI systems. Amazon values engineers who can move between strategic thinking and precise execution, and who thrive in cross-functional, fast-moving environments.

• 3+ years of data engineering experience, with a track record of building production-grade pipelines
• 3+ years of SQL experience, with strong proficiency in querying and managing structured data
• Experience with data modelling, warehousing, and ETL pipelines is required
• AWS technologies experience (Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, IAM) is a strong asset
• Non-relational database experience — including object storage, document stores, key-value stores, graph databases, or column-family databases — is preferred

How to Apply

To apply, visit the official Amazon job posting using the link below. Make sure your resume is up to date and reflects your experience with data engineering, SQL, and relevant AWS technologies before submitting.

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