Company Overview
Join a pioneering team at Amazon.com Services LLC, working on the forefront of technology innovation. Amazon’s Customer Engagement Technology (CET) team is dedicated to revolutionizing customer service solutions through automation and cutting-edge technology. They are committed to empowering customers worldwide to resolve issues efficiently, utilizing the power of Generative AI. As an industry leader, Amazon offers a dynamic work environment and numerous opportunities for professional growth and development.
Location: Dallas, TX, USA | Austin, TX, USA | Seattle, WA, USA
Job Type: Full-time
Salary Range: $105,700/yr – $205,600/yr
About the Role
Amazon’s Customer Engagement Technology (CET) team is seeking a skilled Data Engineer (L5) to join their Self-Service Automation division. In this role, the candidate will play a pivotal role in designing and implementing data storage platforms for Large Language Models (LLMs). The ideal candidate thrives in a data-driven environment, possesses expertise in data modeling and ETL design, and is passionate about leveraging data to drive business insights and innovation.
Key Responsibilities
- Design, develop, and maintain product data pipelines while ensuring compliance with data and privacy standards.
- Create robust and scalable data and insight platforms using SQL and Spark technologies.
- Support analytical research efforts and provide strategic recommendations to address business challenges.
- Continuously improve data quality and operational efficiency through automation and the development of CI/CD data pipelines.
- Collaborate with business stakeholders to develop and influence the team’s data strategy and storage roadmap.
Basic Qualifications
- Bachelor’s degree in Computer Science, Engineering, Analytics, Mathematics, Statistics, IT, or related field.
- 3+ years of experience in data engineering, with a proven track record in data modeling, warehousing, and ETL pipeline development.
- Proficiency in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
- Strong expertise in SQL and experience with relational databases.
Preferred Qualifications
- Experience with AWS technologies, including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Familiarity with non-relational databases/data stores (e.g., object storage, document stores, key-value stores, graph databases).
- Master’s degree in relevant field or equivalent work experience.
- Knowledge of big data technologies such as Hadoop, Hive, Spark, and EMR.
Benefits
Amazon offers a comprehensive benefits package, including:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
At Amazon, diversity and inclusion are core values. They are an equal opportunity employer and do not discriminate based on race, gender, sexual orientation, disability, or other legally protected status.
How to Apply
If you are passionate about leveraging data to drive innovation and want to make an impact on a global scale, they encourage you to apply. For more information and to apply for this position, please visit their career site.
Note: This position will remain open until filled. Applicants should apply via this link.
Job ID: A2620101
Disclaimer: The base salary for this position ranges from $105,700/yr to $205,600/yr and may vary based on factors such as geographic location, job-related experience, and skills. Additional compensation, including equity and sign-on bonuses, may be offered as part of a total compensation package.
