Data Engineer II

Amazon.com Services LLC; Seattle (WA); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Adoption and surrogacy reimbursement

Job summary

Amazon.com Services LLC is seeking a Data Engineer II for the Amazon Publisher Monetization (APM) team in Seattle. You will own data foundations, design end-to-end pipelines, and build scalable data models to enable trusted insights for business teams and partners.

The role emphasizes data quality, scale, and collaboration across engineers, data scientists, and product teams. You will work on modern AWS-based architectures, mentor peers, and deliver end-to-end projects with minimal supervision.

Qualifications

• Bachelor's degree in a relevant field.
• 4+ years of data engineering experience.
• 2+ years of developing and operating large-scale data structures for BI analytics using ETL/ELT processes.
• 2+ years of data modeling experience for BI analytics.
• 1+ years of SQL development and operation for large-scale data sets.
• Experience with modern programming languages (C++, C#, Java, Python, Golang, PowerShell, or Ruby).
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience building and operating highly available distributed systems for data extraction, ingestion, and processing.

Responsibilities

• Create and refine data models and end-to-end data pipelines across APM publisher data using AWS services and internal tooling.
• Shape data architecture to support analysts and AI analytics agents.
• Establish data quality standards with automated monitoring and root-cause resolution.
• Collaborate with business stakeholders to translate requirements into trusted data products.
• Lead design of next-generation APM data architecture to improve scale, quality, timeliness, coverage, monitoring, and security.
• Mentor engineers on data engineering best practices and system design principles.

Skills

Data engineering

ETL/ELT pipelines

Data modeling

SQL

Distributed systems

End-to-end delivery

Programming languages

AWS ecosystem

Education

Bachelor's degree

Tools

Redshift

EMR

Airflow

Kinesis

Lambda

S3

AWS Glue

Hive

Hadoop

Spark

SQL

C++

C#

Java

Python

Golang

Job description

Data Engineer II on the Amazon Publisher Monetization (APM) team focuses on owning data foundations and designing end-to-end data pipelines and models across APM publisher data. The role emphasizes data quality, scalable architectures, and enabling trusted insights for business teams and partners. This position is based onsite in Seattle, WA.

Responsibilities

• Create and refine data models and end-to-end data pipelines across APM's publisher data, utilizing AWS services such as Redshift, EMR, Airflow, Kinesis, and Lambda, plus internal Amazon tooling
• Shape data architecture to support both human analysts and AI driven analytics agents, balancing immediate delivery with long-term scalability
• Establish data quality standards across owned datasets by building automated monitoring, investigating anomalies, and driving root-cause resolution with limited guidance
• Collaborate with business stakeholders to understand decision-making needs and translate ambiguous requirements into trusted, well-modeled data products
• Lead the design of next-generation APM data architecture to improve scale, quality, timeliness, coverage, monitoring, and security while guiding team-wide technical direction
• Mentor other engineers on data engineering best practices, code quality, and system design principles

Requirements

• Bachelor's degree
• 4+ years of data engineering experience
• 2+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
• 2+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL
• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, or Ruby
• Experience with data modeling, warehousing and building ETL pipelines
• Experience building and operating highly available distributed systems for data extraction, ingestion, and processing of large data sets
• Ability to deliver end-to-end projects independently
• Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control, continuous deployments, testing, and operational excellence

Technologies

• Redshift
• EMR
• Airflow
• Kinesis
• Lambda
• S3
• AWS Glue
• Firehose
• IAM roles and permissions
• Hadoop
• Hive
• Spark
• SQL
• C++
• C#
• Java
• Python
• Golang
• PowerShell
• Ruby

Benefits

• Health insurance
• 401(k) matching
• Paid time off
• Parental leave
• Adoption and surrogacy reimbursement coverage

About the Team

We comprise the APM Agentic Insights group, focused on scalable analytics that produce timely, precise, and actionable insights for Amazon Publisher Monetization. The team aims to support advertising services that center on the customer experience by ensuring that insights rely on dependable, well-modeled data. Collaboration spans across data engineers, BI engineers, data scientists, and product teams to tackle large-scale challenges.

Location and Compensation

Location: Seattle, WA onsite

Salary: USD 132,100 - 178,800 per year