Data Engineer, Amazon Prime

Amazon.com Services LLC is hiring a Data Engineer for Amazon Prime's Member Experience organization. The role builds and maintains scalable data infrastructure and pipelines that support machine learning, science, analytics, and improved Prime member experiences.

Responsibilities

Build and maintain big data pipelines for machine learning applications at Amazon scale, ensuring stability and performance across terabyte-sized datasets

Advance data engineering infrastructure using tools such as AWS Glue, Spark, Amazon EMR, and EMR Serverless to support science and analytics workloads

Design and implement proactive data quality monitoring and alerting (e.g., anomaly detection) across production pipelines to safeguard downstream models

Collaborate with scientists and analysts to create coherent data models and analysis-ready datasets that improve the customer experience for over 300 million members worldwide

Evaluate and integrate generative AI tools where appropriate to automate data workflows and improve team productivity

Preferred

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, 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)

Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

Amazon Redshift

Amazon S3

AWS Glue

Amazon EMR

Amazon Kinesis

Amazon Data Firehose

AWS IAM Roles

Permissions

Non-Relational Databases

Object Storage

Document Stores

Key-Value Stores

Graph Databases

Column-Family Databases

Distributed Systems

High-Availability Systems

Data Extraction

Data Ingestion

Data Processing

Data Pipeline Operations

Benefits

Sign-on payments

Restricted stock units (RSUs)

Health insurance (medical, dental, vision, prescription)

Basic Life & AD&D insurance

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

Company

Online retail and cloud computing services

Seattle, Washington, USA

https://amazon.com/

Founded in 1994

10001+ employees

Qualifications

3+ years of data engineering experience

Experience with data modeling, warehousing and building ETL pipelines

Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets

Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, 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)

Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

Required skills

Data Modeling, Data Warehousing, ETL Pipelines, Python, Java, Scala, Node.js, AWS Glue, Amazon EMR, Amazon S3, Amazon Redshift, Distributed Data Processing

Experience

3+ years