Amazon
Agentic Data Engineer, Frontier AI Tooling
$132K–$179K
Austin, TX +2 · Full-time · Posted Oct 13, 2026
- Location
- Austin, TX
Seattle, WA
Arlington, VA - Experience
- 3+ years of data engineering; 1+ years each in large-scale BI data structures using ETL/ELT and data modeling.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
About the job
Builds and operates reliable data pipelines and modeled datasets that power AWS customer-facing products and AI agentic workflows.
What you'll do
- Design, deploy, and operate end-to-end data pipelines and ETL/ELT jobs.
- Model structured and unstructured data and define schemas and contracts for downstream services and agents.
- Own data quality, lineage, monitoring, and operational documentation for production pipelines.
What they ask for
- 3+ years of data engineering experience.
- 1+ years developing and operating large-scale business intelligence data structures using ETL/ELT processes.
- 1+ years developing and operating large-scale business intelligence data structures using data modeling.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field; experience writing and optimizing SQL queries with large-scale, complex datasets.
Nice to have
- Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Experience with non-relational databases or data stores, including object storage, document or key-value stores, graph databases, or column-family databases.
Pay
132,100.00 - 178,800.00 USD annually (base salary)
Tools
ETL/ELT, SQL, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose
AI focus
Build data foundations and datasets that AI models and agents can reason over, supporting context layers and agentic workflows.
Model-written summary · the original posting is authoritative