Senior Data Engineer — AI-Powered Data Platform

Amazon; Boulder (CO); On-site; USD 155,000 - 209,000; Full time

Job summary

Amazon Digital Advertising is seeking a Sr. Data Engineer in Boulder, CO to own ingestion pipelines and the normalized dataset powering AI-assisted analytics. You will design scalable data ingestion, define consistent schemas, and build quality checks that catch issues before downstream use.

You will partner with AI engineers to ensure data is ready for modeling and language-based queries. You will operate in a fast-moving, ownership-driven environment, contributing to a phased rollout and

Qualifications

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Proficient in SQL and at least one scripting language.

Responsibilities

• Design, build, and operate scalable data ingestion pipelines from multiple sources.
• Define and evolve input schemas and normalization logic for a unified dataset.
• Build automated data quality validation and anomaly detection to catch defects early.
• Handle real-world data complexity, such as delayed data sources and correct hierarchies.
• Collaborate with AI/ML engineers to ensure data supports analytics and natural-language queries.
• Instrument pipelines for observability, freshness, and low-touch operations.
• Onboard new feeds and improve timeliness, completeness, and accuracy.
• Contribute to phased rollout starting with core sources and expanding over time.

Skills

Data modeling

ETL pipelines

Data warehousing

SQL

Python

Java

Scala

Mentoring

Cross-team collaboration

Tools

Hadoop

Hive

Spark

EMR

Job description

Amazon Digital Advertising is seeking a Sr. Data Engineer in Boulder, CO to own ingestion pipelines and the normalized dataset powering AI-assisted analytics. You will design scalable data ingestion, define consistent schemas, and build quality checks that catch issues before downstream use.

You will partner with AI engineers to ensure data is ready for modeling and language-based queries. You will operate in a fast-moving, ownership-driven environment, contributing to a phased rollout and