Data Engineer, Alexa Audio

Amazon; Vancouver; Hybrid; CAD 103,000 - 173,000; Full time

Job summary

A leading technology company is seeking a Data Engineer to join their Alexa Audio Data and Insights team in Vancouver. This role involves developing data pipelines, working with advanced AI technologies, and collaborating with cross-functional teams. Candidates should have over 3 years of data engineering experience, proficiency in SQL, and familiarity with AWS tools like Redshift and S3. A dynamic team culture focusing on innovative solutions awaits the right candidate.

Benefits

Competitive salary

Comprehensive benefits package

Opportunities for equity and sign-on bonuses

Qualifications

• 3+ years of data engineering experience required.
• Experience with SQL and building ETL pipelines is necessary.
• Familiarity with AWS technologies preferred.

Responsibilities

• Develop scalable data pipelines for various data sources.
• Automate data processing workflows for improved efficiency.
• Collaborate with stakeholders to produce data-driven solutions.

Skills

Data engineering experience

SQL

Data modeling

ETL pipelines

Collaboration with cross-functional teams

Tools

Spark

AWS Glue

Redshift

S3

Python

Job description

Description

Are you ready to be at the forefront of Agentic AI innovation and redefine the future of communication? Join our Alexa Audio Data and Insights team as a Data Engineer, and lead futuristic big data initiatives that will shape the next generation of intelligent, conversational experiences. In this role, you'll work at the intersection of disruptive AI technologies and real-world impact, making a difference for millions of customers. You'll collaborate with a team of passionate professionals who are as excited about innovation as you are, and together, you'll push the boundaries of what's possible with Alexa+.

As a Data Engineer, you'll drive the development of data pipelines and automation to process massive datasets for our next-generation Audio features powered by advanced AI technologies. You'll work closely with cross‑functional teams, including product management, design, engineering, Business Intelligence, and data science. You'll also lead the integration of these advanced AI systems into Alexa Audio's core capabilities, ensuring a seamless and intuitive user experience.

Key job responsibilities

• Work closely with data scientists, BI, and engineers to create robust data architectures and pipelines
• Develop and manage scalable data pipelines to extract, transform, and load data from various sources
• Collaborate with stakeholders to understand business requirements and translate them into data‑driven solutions
• Automate data processing and reporting workflows to improve efficiency and data integrity
• Implement data quality checks and monitor processes to maintain high data accuracy
• Simplify and enhance the accessibility, clarity, and usability of large and complex datasets through the development of data cubes and data sharing solutions
• Develop and manage scalable, automated, and fault‑tolerant data solutions using technologies such as Spark, EMR, Python, Redshift, Glue, and S3

About the team

AUDI consists of Business Intelligence Engineers (BIEs), Data Engineers (DEs), Data Scientists (DS's) and DS/BI Mangers, who bring with deep experience in both business analytics and data science. We cover the data needs of Music, Radio, Podcast, Books, Audio News and Ambient Sounds. AUDI supports analytical best practices across the Audio org as we drive a metric‑first mindset, measure the right success metrics, and support the launch of Remarkable Alexa and Banyan. We strive to extract and store accurate data to deliver actionable insights, inform business investment decisions, support growth of customer base and drive the success of Banyan experience. Our data products and analytical programs accelerates efforts in delivering premium and delightful experiences for Audio customers.

Basic Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non‑relational databases / data stores (object storage, document or key‑value stores, graph databases, column‑family databases)

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 for this position ranges from $103,300/year up to $172,600/year. Salary is based on a number of factors and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.