Senior Data Engineer - AI/ML for Scalable Data Platform

Amazon Web Services (AWS); Seattle (WA); On-site; USD 155,000 - 209,000; Full time

Job summary

Amazon Development Center U.S., Inc. is seeking a Senior Data Engineer to own 3-5 data domains and hundreds of pipelines, partnering with AWS service teams to deliver scalable analytics.

You will apply SQL, ETL, and cloud data services (Redshift, Glue, EMR) to enable leadership decisions with robust data models and contracts. The ideal candidate will lead architecture, drive improvements, and mentor others in a fast-paced environment, with a focus on secure, auditable data platforms using

Qualifications

• 7+ years of data engineering experience.
• Proficiency in Python, Java, Scala or NodeJS.
• Experience mentoring team members on best practices.
• Experience building/operating highly available, distributed data systems.
• Experience integrating data from multiple sources and building data products.
• Strong communication with users, tech teams and management.

Responsibilities

• Lead data architecture for end-to-end domains, ensuring security, scalability, and cost effectiveness.
• Own and optimize hundreds of pipelines and data contracts across AWS services.
• Design data models and ingestion flows in collaboration with service teams.
• Establish data processing guidelines and drive best practices.
• Mentor engineers and influence team design decisions.
• Participate in on-call rotation and improve reliability of data systems.

Skills

Python

Java

Scala

NodeJS

Mentoring

Distributed systems

ETL processing

SQL

Data modeling

Big data tooling

Redshift

EMR

Spark

Hive

Education

Bachelor's degree in CS/engineering/analytics/statistics, IT or equivalent

Tools

Redshift

EMR

Hadoop

Spark

Hive

Job description

Amazon Development Center U.S., Inc. is seeking a Senior Data Engineer to own 3-5 data domains and hundreds of pipelines, partnering with AWS service teams to deliver scalable analytics.

You will apply SQL, ETL, and cloud data services (Redshift, Glue, EMR) to enable leadership decisions with robust data models and contracts. The ideal candidate will lead architecture, drive improvements, and mentor others in a fast-paced environment, with a focus on secure, auditable data platforms using