Senior Data Engineer , Community Operations

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