Data Engineer, Amazon Prime
AmazonLocation: Vancouver, British Columbia, CANOpen for: 7 days
- Pay: $103k to $173k a year CAD
Checking today's postings…
AmazonLocation: Vancouver, British Columbia, CANOpen for: 7 days
MastercardLocation: Toronto, CanadaOpen for: 18+ days
AmazonLocation: Vancouver, British Columbia, CANOpen for: 18+ days
LoopioLocation: Toronto, ON HubOpen for: 12+ days
Open 7 days
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age.
Last checked Nov 5, 2026.
See how much of this posting your resume shows, and what it's missing.
Upload your resumeCAN, BC, Vancouver - 103,300.00 - 172,600.00 CAD annually (quoted from the posting)
Not stated: Real vacancy, AI screening.
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Amazon Prime's Member Experience organization leads Research & Development for Amazon Prime. The program serves over 300 million members across 25 countries and is key to Amazon's customer growth and engagement. We build algorithms and systems for automated marketing, personalization, targeting, and decisioning using Artificial Intelligence and Economics. Within the engineering group, we develop world-class solutions to complex scientific and engineering problems at Amazon scale. You will work alongside world-class scientists to build a suite of fully automated, scalable, and robust products driven by the data systems you develop.
As Prime expands its science-driven capabilities globally, we are growing the engineering team to meet increasing demand for reliable, high-throughput data infrastructure. Do you want to work with Amazon's best engineers on hard problems at massive scale? Do you want to impact over 300 million Prime members worldwide? Are you someone who likes using big data to drive high-impact business decisions? If so, come join our team!
Build and maintain big data pipelines for machine learning applications at Amazon scale, ensuring stability and performance across terabyte-sized datasets
Advance data engineering infrastructure using tools such as AWS Glue, Spark, Amazon EMR, and EMR Serverless to support science and analytics workloads
Design and implement proactive data quality monitoring and alerting (e.g., anomaly detection) across production pipelines to safeguard downstream models
Collaborate with scientists and analysts to create coherent data models and analysis-ready datasets that improve the customer experience for over 300 million members worldwide
Evaluate and integrate generative AI tools where appropriate to automate data workflows and improve team productivity
You will collaborate closely with Prime business leaders, scientists (economists, research scientists, applied scientists), and engineering leaders to build data solutions. You will work with AWS technologies such as Amazon EMR, Amazon S3, AWS Glue, AWS Lambda, and Amazon DynamoDB to process terabyte-scale data and support real-time access and orchestration across multiple systems. Your work will directly enhance scientific models and data applications that shape the Prime member experience globally. You will also participate in code reviews, design discussions, and team planning alongside both technical and business stakeholders.
The Prime Member Experience engineering team sits at the intersection of large-scale engineering systems and applied science ,econometrics, machine learning, and AI delivering applications that reach over 300 million customers. Our team includes data engineers, software engineers, and scientists who partner closely to build and operate real-time science products. We are focused on enabling Prime Science adoption worldwide across Amazon, and the growing complexity of our real-time data products creates data engineering challenges that give you hands-on experience with problems the broader industry will face in the years ahead. - 3+ years of data engineering experience
Something wrong with this posting?
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, BC, Vancouver - 103,300.00 - 172,600.00 CAD annually