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Amazon Senior Data Engineer , Community Operations in Bellevue, Washington

Description

Are you passionate about being a part of a team where your work has a meaningful impact on communities? Do you get excited about building process in an ambiguous, greenfield environment? Are you looking for an opportunity to support Amazon’s continued ability to deliver smiles in communities? If so, come work with us at the Community Operations (CommOps) team. CommOps improves the communities where we work and live by identifying and mitigating operational issues and driving positive social impacts.

CommOps is hiring a Senior Data Engineer (Sr. DE). This role will primarily support the Community Insights team, which spans Business Intelligence (BI), Research & Applied Science functional areas. As a Data Engineer, you would own the AWS machine learning operations (MLOps) to support automated LLM modeling and data refreshes. You would have the opportunity to lead the design, creation and management of extremely large datasets working backwards from business use case. You would use your strong business and communication skills to be able to work with business engineers and scientists and will have an immediate influence on day-to-day decision making.

Key job responsibilities

  • Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight) etc.

  • Build machine learning operations (MLOps) to support automated LLM modeling and data refreshes using AWS tools (e.g., CloudFormation, ECR, SageMaker Model Registry, AWS Step Functions).

  • Develop new data models and end to end data pipelines.

  • Lead design reviews for the team.

  • Provide technical and thoughtful leadership for the Business Intelligence team within CommOps org.

  • Create and implement Data Governance strategy for mitigating privacy and security risks.

About the team

Amazon Community Operations is helping Amazon become the most in-demand company locally, by anticipating our communities’ needs and building positive net impact anywhere we operate. CommOps improves the communities where we work and live by identifying and mitigating operational issues and driving positive social impacts. Amazon’s core competency in end-to-end logistics is one of the primary reasons that communities turn to us for help.

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA

Basic Qualifications

  • 5+ years of data engineering, database engineering, business intelligence or business analytics 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

Preferred Qualifications

  • Experience mentoring team members on best practices

  • Experience operating large data warehouses

  • Experience with AWS tools (e.g., CloudFormation, ECR, SageMaker Model Registry, AWS Step Functions)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $123,700/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.

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