Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required.
Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.
Join Amazon's Prime Video Ads-Data Measurements and Insights team as a Senior Data Engineer, where you'll be at the forefront of revolutionizing how we understand and leverage advertising data. This isn't just another data engineering role – it's an opportunity to shape the future of video advertising analytics at one of the world's most innovative companies.
What makes this position unique is its direct impact on Prime Video's advertising ecosystem. You'll be the architect behind the sophisticated data infrastructure that powers critical business decisions, working with AWS technologies and Amazon's proprietary tools. Unlike traditional data engineering roles, you'll have the freedom to innovate and implement solutions that directly influence how millions of viewers experience advertising on Prime Video.
Your expertise will solve crucial challenges in data processing and analytics. Imagine building the pipelines that transform raw advertising data into actionable insights, enabling the team to optimize ad placement, improve viewer experience, and maximize advertising effectiveness. You'll tackle complex problems like real-time data processing, ensuring data accuracy across multiple platforms, and creating scalable solutions that can handle exponential growth in data volume.
As the bridge between raw data and meaningful insights, you'll work with a diverse array of technologies, including Python, EMR, Spark, Iceberg, and Airflow, along with AWS services like Glue, Athena, and Redshift. But what truly sets this role apart is the opportunity to collaborate with cross-functional teams – from Data Scientists to Product Managers – ensuring that your technical solutions align perfectly with business needs.
Your contribution will extend beyond just building data pipelines. You'll be a key player in maintaining data governance and compliance, implementing sophisticated access controls, and ensuring data security through encryption and audit mechanisms. This role demands not just technical expertise, but also the ability to think strategically about data architecture and its impact on business outcomes.
Key job responsibilities
• Drive the backbone of our data systems by building robust pipelines that turn complex data into actionable insights using AWS and Amazon's internal tools
• Be the bridge between teams - you'll work closely with business, science, and engineering folks to turn their data needs into reality
• Make life easier for everyone by automating our infrastructure and creating smooth deployment processes
• Play data detective by ensuring our data is clean, accurate, and trustworthy
• Keep our data fortress secure by implementing smart governance and security measures that protect sensitive information
• Stay ahead of the curve by optimizing our systems and bringing modern solutions to solve data challenges
• Create user-friendly data products that help teams make better decisions through analytics and experimentation
• Write clean, efficient code that handles massive amounts of unstructured data like a pro
• Work with cool tech like Python, Spark, Airflow, and various AWS services to build end-to-end data solutions that bring different systems together
About the team
As a member of Prime Video Advertising's Data, Measurement and Insights team, you'll be at the forefront of transforming how Amazon harnesses its vast advertising data.
What makes this role unique is your direct influence on strategic decision-making through the development of innovative measurement solutions and analytical frameworks.
You'll tackle complex challenges in video advertising analytics, helping advertisers understand and optimize their campaigns across Amazon's global streaming platform. By designing intuitive dashboards and reporting tools, you'll empower stakeholders to make data-driven decisions that shape the future of streaming advertising. - 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location 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. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
