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Amazon.com Services LLC

Data Engineer

Amazon.com Services LLC
Bellevue, WA $132k - $206k/yr Full time Posted 13d ago
Python Amazon Emr Amazon Web Services Analytics AWS Aws Glue Big Data Bigdata Cloud Cloud Operations Cloud Platforms Data Analysis Data Analytics Data Engineer Data Integration Data Pipeline Data Platform Data Processing Data Warehouse Database EMR ETL Firehose Java Language Node Js Scala Software Engineering Spark SQL
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Job Description

Join Amazon's PXT Central Science team in Bellevue, WA, and help build scalable data pipelines, efficient feature extraction, and production-ready analytics that drive employee sentiment insights and business outcomes. This onsite opportunity offers a competitive salary range of USD 132,100 to 205,600 per year, together with comprehensive benefits, sign-on payments, and restricted stock units. You will work in a multidisciplinary environment that blends economics, science, engineering, and UX to improve the value and experience of work across Amazon.

Responsibilities

  • Design and maintain scalable data pipelines using native AWS services (Glue, EMR, Lambda); implement monitoring and error handling for data workflows; optimize for performance, reliability, and cost efficiency
  • Productionize science models by developing APIs and data serving layers; build both batch and real-time inference pipelines for downstream consumption
  • Create scalable feature extraction and processing frameworks for diverse data types; implement robust data quality checks and validation; design flexible schemas that adapt to evolving requirements
  • Collaborate with economics, data science, and software engineering teams to translate analytical requirements 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

  • Strong foundation in professional software engineering practices covering the full software development lifecycle, including coding standards, architectures, code reviews, source control, continuous deployments, testing, and operational excellence
  • 3+ years of data engineering experience
  • Experience with at least one modern programming language such as Python, Java, Scala, or NodeJS
  • Experience with data modeling, warehousing, and building ETL pipelines
  • Hands-on experience with AWS technologies like Redshift, S3, 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, or column-family stores)
  • Bachelor's degree or foreign equivalent in computer science, engineering, mathematics, or an equivalent field

Technologies

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

Benefits

  • Sign-on payments
  • Restricted stock units (RSUs)
  • Health insurance including medical, dental, vision, prescription; Basic Life & AD&D; option for Supplemental life plans; EAP; Mental Health Support; Medical Advice Line; Flexible Spending Accounts; Adoption and Surrogacy Reimbursement
  • 401(k) matching
  • Paid time off
  • Parental leave

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 identify mechanisms and process improvements that enhance Amazon and the work lives of Amazonians. This interdisciplinary group combines science, engineering, and UX to deliver solutions that measurably improve outcomes for employees and the business.

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