Data Engineer I - Build Data Pipelines for AI Analytics

Amazon; Seattle (WA); On-site; USD 101,000 - 160,000; Full time

Job summary

Amazon in Seattle, WA is seeking a Data Engineer to build data infrastructure powering analytics, experimentation, forecasting, and business decisions for Fire TV, Advertising and Appstore. This role focuses on creating reliable data pipelines, datasets, and quality controls in a high-impact environment.

You will collaborate with Data Science, BI, Product, Finance, Advertising, and Engineering teams to translate requirements into scalable data solutions and AI-assisted analytics products, while

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with SQL.
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting language (e.g., Python, KornShell)
• Knowledge of database, data warehouse, or data lake solutions

Responsibilities

• Contribute to the design, development, testing, and deployment of data pipelines and datasets within a defined domain, including the data foundations for GenAI and agentic analytics, working alongside senior engineers
• Build and maintain ETL/ELT workflows using SQL, Python, and AWS services
• Support data infrastructure operations, including monitoring, alerting, and data quality controls
• Investigate and resolve data quality issues, escalating complex problems or architectural trade-offs when appropriate
• Partner with Data Science, Business Intelligence, Product, and Engineering stakeholders to understand requirements and implement reliable data solutions

Skills

Data engineering

ETL pipelines

SQL

Python

Data modeling

Data warehousing

Cloud computing (AWS)

Data quality

Cross-functional collaboration

Problem solving

Tools

Hadoop

Hive

Spark

EMR

Redshift

S3

AWS Glue

Kinesis

Lambda

IAM

Job description

Amazon in Seattle, WA is seeking a Data Engineer to build data infrastructure powering analytics, experimentation, forecasting, and business decisions for Fire TV, Advertising and Appstore. This role focuses on creating reliable data pipelines, datasets, and quality controls in a high-impact environment.

You will collaborate with Data Science, BI, Product, Finance, Advertising, and Engineering teams to translate requirements into scalable data solutions and AI-assisted analytics products, while