Senior Data Engineer , Amazon Customer Service

Amazon • Seattle, WA

3d • $154,600 - $209,100 • Onsite

About The Position

As a Senior Data Engineer on the Amazon Customer Service Data Intelligence team, you will design and implement robust data pipelines and infrastructure that power our organization's data-driven decisions and AI capabilities. This role is critical in developing and maintaining our enterprise-scale data processing systems that handle high-volume transactions while ensuring data security, privacy compliance, and optimal performance. You'll be part of a dynamic team that designs and implements comprehensive data solutions, from real-time processing architectures to secure storage solutions and privacy-compliant data access layers. The role involves close collaboration with cross-functional teams, including software development engineers, product managers and scientists, to create data products that power critical business capabilities. You'll have the opportunity to work with leading technologies in cloud computing, big data processing, and machine learning infrastructure, while contributing to the development of robust data governance frameworks. If you're passionate about solving complex technical challenges in high-scale environments, thrive in a collaborative team setting, and want to make a lasting impact on our organization's data infrastructure, this role offers an exciting opportunity to shape the future of our data and AI capabilities.

Requirements

• 5+ years of data engineering 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
• Experience mentoring team members on best practices
• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline

Nice To Haves

• Proven track record of tackling highly ambiguous, complex data challenges and delivering impactful solutions.
• Advanced degree (Master's) in Computer Science, Computer Engineering, or a quantitative field preferred
• Hands-on experience working with large language models, including understanding of data infrastructure requirements for AI model training.
• Experience in leading and architecting Data solutions using AWS data services (Redshift, S3, Glue, EMR, Kinesis, Lambda, RDS, Bedrock) and understanding of IAM security frameworks.

Responsibilities

• Architect and drive adoption of enterprise-scale data platforms and frameworks, establishing technical standards for data products
• Design data security and compliance frameworks, automated enforcement mechanisms that scale across multiple data stores while meeting regulatory requirements.
• Lead strategic technical initiatives for next-generation data platforms, designing highly available distributed systems that support both real-time processing and batch operations at enterprise scale, with particular focus on enabling advanced AI/ML capabilities.
• Lead technical design reviews that impact multiple teams, mentoring senior engineers, and establishing engineering excellence programs that elevate organizational capabilities.
• Develop enterprise-wide data governance frameworks, implementing automated testing strategies, monitoring quality, and self-healing capabilities that ensure data reliability across data products.
• Drive innovation in data engineering practices by evaluating emerging technologies, creating technical roadmaps, and architecting solutions that improve system scalability, performance, and cost-efficiency while positioning the organization for future growth.
• Partner with senior leadership to translate business strategy into technical direction, influence product roadmaps, and make architectural decisions that fundamentally shape the organization's data landscape.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior