Drimva

Amazon

Data Engineer II, OpsTech Team, OTS Anchor Team

$132K–$179K

Austin, TX · Full-time · Posted Sep 29, 2026

Experience
3+ years of data engineering; 1+ years developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
Education
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.

About the job

Builds scalable data platforms and trusted data products that support analytics, machine learning, AI, and operational decision-making across Amazon’s global operations.

What you'll do

  • Build batch and streaming data pipelines, platforms, and reusable data products for operational use.
  • Support AI agents and machine learning systems with reliable data, feature pipelines, training datasets, and semantic layers.
  • Improve reliability and governance through data quality, observability, lineage, testing, and anomaly detection.

What they ask for

  • 3+ years of data engineering experience.
  • 1+ years of experience developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
  • Experience with data modeling, warehousing, ETL pipelines, and Python in a data engineering environment.

Nice to have

  • Experience with AWS technologies, including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
  • Experience with non-relational databases or knowledge of software engineering best practices across the software development life cycle.

Pay

132,100.00 - 178,800.00 USD annually (base salary)

Tools

Python, ETL/ELT, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose

AI focus

Builds data foundations, feature pipelines, and semantic layers for AI agents, machine learning systems, and intelligent automation.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)