Senior Data Engineer, People Experience and Technology Central Science

About the Role

As a Senior Data Engineer on the PXT Central Science team at Amazon, you will be part of the Data team that builds the foundational data infrastructure and analytics tools powering PXTCS. We create secure, scalable solutions that enable teams across PXTCS to access and analyze data effectively while maintaining data integrity. In this role, you will design, build, and maintain scalable data pipelines and infrastructure that drive our people analytics capabilities. You will collaborate with data scientists, software engineering teams, business intelligence engineers, and HR business partners to transform complex HR data into actionable insights that shape Amazon's people strategy. Your technical expertise will help enable data‑driven decisions that enhance the employee experience across Amazon's global workforce.

Key Job Responsibilities

• Design, develop, and maintain efficient ETL processes and data pipelines to collect, process, and integrate data from multiple HR systems and sources using native AWS services (Glue, EMR, Lambda)
• Build and optimize data models that support advanced analytics, reporting, and machine learning applications
• Implement data quality controls and monitoring systems to ensure accuracy and reliability of people data across pipelines and production endpoints
• Partner with data scientists and software engineering teams to productionize machine learning models that solve complex workforce challenges, including owning API architecture and data serving layers for downstream consumption
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions
• Mentor junior engineers and contribute to establishing best practices for data engineering
• Define and drive data architecture decisions to enhance performance, scalability, and security across multiple interconnected AWS accounts
• Own and lead technical design reviews, setting technical direction and influencing org‑wide data strategy and modeling approaches
• Define and maintain SLAs for data pipelines and production systems, driving operational excellence across the team's data infrastructure
• Implement security best practices for cross‑account data access and design solutions that scale across multiple regions and business units

About the Team

The People eXperience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. PXTCS is an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.

Basic Qualifications

• 5+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience mentoring team members on best practices
• Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

Preferred Qualifications

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience operating large data warehouses
• 7+ years of workflow experience
• Master's degree in Computer Science, Computer Engineering, Information Technology or related fields
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy

Additional Information

• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

• Los Angeles County applicants: Job duties include working safely and cooperatively with others, adhering to standards of excellence, communicating effectively, and following all applicable laws and company policies. Criminal history may affect certain duties. Pursuant to the Los Angeles County Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered.

• San Francisco Fair Chance Ordinance: Qualified applicants with arrest and conviction records will be considered.

• Accommodations: If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations.

• Compensation: Base salary ranges (USD annually)

  • USA, CA, San Francisco – $177,800 – $240,500
  • USA, MA, Boston – $154,600 – $209,100
  • USA, VA, Arlington – $154,600 – $209,100
  • USA, WA, Bellevue – $154,600 – $209,100
  • USA, WA, Seattle – $154,600 – $209,100
    Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location.

• Benefits: Comprehensive benefits include health insurance (medical, dental, vision, prescription, Basic Life & AD&D, supplemental life options), EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave. Learn more at https://amazon.jobs/en/benefits.