Data Engineer

Data Engineer to join Amazon's PXT Central Science team onsite in Arlington, VA, building and maintaining data pipelines and analytics that illuminate factors influencing employee sentiment, actions, and business outcomes.

Responsibilities

• Design and maintain scalable data pipelines leveraging native AWS services (AWS Glue, EMR, Lambda); implement monitoring, error handling, and fault tolerance; optimize for performance, reliability, and cost efficiency
• Develop APIs and data serving layers to productionize analytics models; build batch and real time inference pipelines
• Create scalable feature extraction and processing frameworks for diverse data types; implement robust data quality checks and validation; design flexible schemas to support evolving requirements
• Partner with economics, data science, and software engineering teams to translate analytical needs into production ready solutions; participate in technical design reviews and architecture discussions
• Maintain layered data systems used by economists and scientists; develop automated reporting solutions; work across multiple interconnected AWS accounts with security best practices

Requirements

• Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• 3+ years of data engineering experience
• Experience in at least one modern scripting or programming 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, Kinesis Data Firehose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / 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 equivalent

Technologies

• Python
• Java
• Scala
• NodeJS
• AWS Glue
• AWS EMR
• AWS Lambda
• Redshift
• S3
• Kinesis
• Kinesis Data Firehose
• IAM
• Hadoop
• Hive
• Spark
• Generative AI

Benefits

• Health insurance (medical, dental, vision, prescription)
• 401(k) matching
• Paid time off
• Parental leave
• Sign-on payments
• Restricted stock units (RSUs)
• Adoption and Surrogacy Reimbursement coverage
• Employee Assistance Program (EAP) and Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts (FSA)
• Basic Life & AD&D insurance
• Optional supplemental life plans

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 simultaneously enhance Amazon and the lives, well being, and value of work for Amazonians. We are an interdisciplinary group blending science, engineering, and UX to develop and deliver solutions with measurable impact.