Data Engineer II, AWS DC Global Network Delivery

Amazon.com Services LLC is hiring a Data Engineer II for AWS Global Network Delivery Services. The role builds and operates context-driven data pipelines, source-of-truth datasets, and self-service data tools to support infrastructure delivery analytics, reporting, and ML/LLM use cases.

Responsibilities

Know why you're building, not just what. Ask sharp questions first, understand your data and its significance, reuse before you rebuild, and set clear data contracts so data is always traceable to its source — and correct

Own the design, development, and operation of scalable, production-grade, context-driven data pipelines — including the infrastructure behind them — keeping them lightweight, cost-efficient, auditable, and highly available to power metrics, reporting, analytics, and ML/LLM use cases

Build context-rich "source of truth" datasets and reusable, dimensional data models that track the infrastructure delivery lifecycle (intake → deployment → decommission), serving as a trusted, intuitive-to-query foundation for downstream consumers while keeping tech debt in check

Design data models and ETL/ELT workflows to ingest, transform, and integrate data from diverse sources using AWS services (e.g., S3, Redshift, Glue, EMR, Athena, Lambda) and internal Amazon data platform tools

Define and champion data quality/ engineering and governance best practices — validation, monitoring/alerting, testing, design standards, documentation, and governance — to keep pipelines accurate, trustworthy, and well-maintained

Partner with Software, Product, and other Data Engineering teams to source and model the right business entities, so any team can answer their own questions without waiting in a queue

Troubleshoot operational and data-quality issues with root-cause analysis and durable fixes; audit existing pipelines, jobs, and queries, and recommend improvements to upstream sources for greater accuracy, simplicity, and scalability

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)

Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam

Amazon Redshift

Amazon S3

AWS Glue

Amazon EMR

Amazon Kinesis

Kinesis Data Firehose

AWS Lambda

IAM Roles

Permissions

Object Storage

Document Databases

Key-Value Stores

Graph Databases

Column-Family Databases

Batch Data Architectures

Streaming Data Architectures

Apache Kafka

Apache Flink

Apache Storm

Apache Beam

Benefits

Sign-on payments

Restricted stock units (RSUs)

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and 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

4+ years of data engineering experience

Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field

Experience with data modeling, warehousing and building ETL pipelines

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

Experience with SQL

Experience working on and delivering end to end projects independently

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)

Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam

Required skills

Data Engineering, Data Modeling, Data Warehousing, ETL Pipelines, Python, Java, Scala, Node.js, SQL, Amazon Redshift, Amazon S3, AWS Glue, Amazon EMR, Amazon Kinesis, AWS Lambda, AWS IAM, Non-relational Databases, Kafka, Apache Flink, Apache Storm, Apache Beam

Experience

4+ years