The Data Engineer role operates within the MOTOR organization at AWS, focusing on building and maintaining data pipelines and infrastructure to deliver clean, actionable data for supply chain insights. This onsite position is based in Bellevue, WA, with a salary range of USD 132,100 to 178,800 per year.
Responsibilities
- Develop and maintain data infrastructure to enable data-driven analysis, applying software engineering best practices, data management fundamentals, storage principles, distributed system concepts, and operations excellence to create datasets used by analysts and scientists for actionable insights.
- Define data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, cost efficiency, and storage needs.
- Deliver high quality solutions that accelerate product and model development in a scalable format, while anticipating future requirements.
- Collaborate with Research/Applied Scientists, Data Engineers, BI Engineers, Data Scientists, Business Analysts, and Product/Program Managers to understand business and technical requirements and support smooth product and program workflows.
- Coordinate with other technology and data engineering teams to extract, transform, and load data from diverse sources using AWS data technologies.
- Lead the technical design and implementation of the data infrastructure.
- Design and manage data audit, quality, and reconciliation processes in collaboration with stakeholders.
Requirements
- 3+ years of data engineering experience
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience with CI/CD pipelines build processes
- Experience in one or more scripting languages (e.g., Python, Ruby, Perl)
- Experience working with Git or an equivalent distributed version control system
- Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases and data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience developing, deploying, and managing AI products at scale
Technologies
- Python
- Ruby
- Perl
- Git
- Redshift
- S3
- AWS Glue
- EMR
- Kinesis
- FireHose
- Lambda
- IAM
Benefits
- Health insurance (medical, dental, vision, prescription, Basic Life and AD&D, option for supplemental life plans, EAP, mental health support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement)
- 401(k) matching
- Paid time off
- Parental leave
- Sign-on payments
- Restricted stock units (RSUs)
About the Team
This team provides data engineering and business intelligence engineering services to the MOTOR organization, serving as data experts behind the scenes to ensure operational teams have accurate, timely data and actionable insights that help improve operational excellence.
Why AWS
Amazon Web Services is the world’s most comprehensive and broadly adopted cloud platform. AWS pioneered cloud computing and continues to innovate to power customers ranging from startups to Global 500 companies.
Diverse Experiences
Amazon values diverse experiences. If you do not meet all of the preferred qualifications, we encourage you to apply. Nontraditional paths or early-career candidates are welcome to apply.
Work/Life Balance
We value work-life harmony and offer flexibility as part of our working culture to support balance between professional and personal commitments.
Inclusive Team Culture
AWS fosters an inclusive culture through employee-led affinity groups and ongoing learning experiences, including events focused on race, ethnicity, and gender diversity, to celebrate differences and learning opportunities.
Mentorship and Career Growth
Continuous knowledge sharing, mentorship, and career development resources are available to help employees grow into well-rounded professionals and advance within the organization.
