Data Engineer, Devices Economic Value

Amazon's Devices Economic Value team enables measurement and optimization of Amazon Devices long-term value to help Amazon build better products for their customers. Delivering lasting value to customers is in Amazon's DNA and we are at the core of how the Devices business prioritizes its investments in innovation and optimization on behalf of customers.

Join us to be a part of the team that is at the core of understanding how Amazon Devices drive deeper customer engagement and helps the business make decisions about how to optimize and balance between short term monetization and long term value creation for Amazon Device users. We are seeking a skilled Data Engineer to build the future of long-term Marketing Measurement for Devices and Services to help the business optimize how it spends its marketing budgets across programs.


Key job responsibilities
We are looking for a talented Data Engineer to design, build and maintain complex data solutions for Amazon Devices' new Marketing Mix Models. The Data Engineer will be responsible for evolving the MMM data infrastructure with a focus on scalable, maintainable and efficient solutions. In addition, the Data Engineer:
- Actively participates in the code review process, design discussions, planning and operational excellence
- Makes appropriate tradeoffs, re-use when possible and will be judicious about introducing dependencies
- Knows about recent advances in distributed systems (MapReduce, MPP Architectures, External Partitioning, etc.)
- Asks correct questions when data model and requirements are not well defined and comes up with designs which are scalable, maintainable and efficient
- Makes enhancements that improve team’s data architecture, making it better and easier to maintain (e.g., data auditing solutions, automating, ad-hoc or manual operation steps)
- Owns the data quality of important datasets and any new changes/enhancements

A day in the life
You are a curious engineer looking for a career where you'll be able to innovate fast, deliver, and influence. You love delivering high-quality software products and services at large scale. You have expertise solving problems using software systems, AWS tools, and working together as a team to constantly improve.

About the team
DEV Science team’s mission is to drive measurement and optimization of long term economic value of the devices business that balances short term and long term tradeoffs across product lifecycle, and drive clear value for Amazon shoppers. We leverage science advancements across causal inference, structural modeling and machine learning, to solve challenging business problems in Amazon Devices.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/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.