Senior Data Engineer, People Experience and Technology Central Science

Amazon • Boston, MA

8d

About The Position

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.

PXTCS is looking for a Senior Data Engineer with deep expertise in complex data
environments. You will own and drive the evolution of our data architecture to
standardize metrics and definitions, architect and deliver end-to-end data
engineering solutions for complex analytical problems, productionize science
models for downstream consumption, and lead cross-functional collaboration with
economists, data scientists, and software engineers to translate data into
actionable insights.

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.

Requirements

• 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

Nice To Haves

• 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

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

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

What This Job Offers

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