Data Engineer, PXT Central Science

Data Engineer role on Amazon's PXT Central Science team, focused on building data pipelines, productionizing models, and delivering analytics to influence employee sentiment and business outcomes.

Responsibilities

• Data pipeline engineering: design and maintain scalable pipelines using native AWS services (Glue, EMR, Lambda); implement monitoring and error handling for data workflows; optimize for performance, reliability, and cost efficiency
• Model productionization and API development: build APIs and data serving layers to productionize science models for downstream use; create batch and real time inference pipelines
• Data integration and quality: develop scalable feature extraction and processing frameworks for diverse data types; implement robust data quality checks and validation; design flexible schemas to support evolving requirements
• Cross team collaboration: work with economics, data science, and software engineering teams to translate analytical requirements into production-ready solutions; participate in technical design reviews and architecture discussions
• Analytics and infrastructure: maintain layered data systems used by economists and scientists; develop automated reporting solutions; operate across multiple interconnected AWS accounts with security best practices

Requirements

• Strong foundation in professional software engineering and SDLC best practices, including coding standards, architectures, code reviews, source control, CI/CD, testing, and operational excellence
• 3+ years of data engineering experience
• Experience with at least one modern language such as Python, Java, Scala, or NodeJS
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases or data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Bachelor's degree or foreign equivalent in computer science, engineering, mathematics, or an equivalent field

Technologies

• Python
• Java
• Scala
• NodeJS
• AWS Glue
• EMR
• Lambda
• Redshift
• S3
• Kinesis
• FireHose
• IAM
• Hadoop
• Hive
• Spark

Benefits

• Health insurance
• 401(k) matching
• Paid time off
• Parental leave
• Sign-on payments
• Restricted stock units (RSUs)
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement
• Employee Assistance Program (EAP)
• Mental Health Support

About the Team

The Central Science Team within Amazon's People Experience and Technology organization (PXTCS) applies economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements that enhance Amazon and the lives, well-being, and value of work for Amazonians. The team blends science, engineering, and UX to deliver solutions with measurable impact.