Data Engineer for Frontier AI Tooling & Pipelines

Amazon Inc.; Arlington (VA); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Data Engineer to own data foundations supporting AWS ProServe, Frontier AI, and services teams. Build scalable pipelines to ingest external and internal data, enabling AI agents to reason over reliable datasets.

You will design models, ETL/ELT processes, and data contracts, ensuring lineage and quality across multiple product areas, collaborating with software engineers, product managers, and analytics teams.

Qualifications

• 3+ years of data engineering experience.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling.
• Experience writing and optimizing SQL queries with large-scale, complex datasets.

Responsibilities

• Own end-to-end delivery of data pipelines: design, build, test, deploy, and operate
• Build and optimize ETL/ELT jobs that produce foundational datasets powering the team’s products and agentic workflows
• Model structured and unstructured data so it is queryable and consumable by AI agents at scale
• Design the data structures, schemas, and contracts that downstream services and agents depend on
• Build and own data-quality tooling: validation, reconciliation, anomaly detection, and monitoring so bad data does not reach agents or models
• Ship to production regularly in a high-ambiguity environment, balancing speed against reliability
• Raise operational-excellence hygiene (data tests, monitoring, runbooks) for the pipelines you own
• Write clear data models, pipeline design notes, and runbooks a peer can act on

Skills

Data engineering

ETL/ELT pipelines

Data modeling

SQL queries

Education

Bachelor's degree or equivalent (CS/Engineering/IS/Math)

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

Lambda

IAM

Job description

Amazon is seeking a Data Engineer to own data foundations supporting AWS ProServe, Frontier AI, and services teams. Build scalable pipelines to ingest external and internal data, enabling AI agents to reason over reliable datasets.

You will design models, ETL/ELT processes, and data contracts, ensuring lineage and quality across multiple product areas, collaborating with software engineers, product managers, and analytics teams.