Data Engineer: Greenfield Platform & AI Analytics

Amazon; Austin (TX); On-site; USD 132,000 - 179,000; Full time

Job summary

Amazon is seeking a Data Engineer to join the Specialist Technology Team (STT) within the Centralized Data & Analytics group at AWS. You will design, build, and operate scalable data pipelines that ingest telemetry, usage, and business outcome data across the STT portfolio.

This greenfield role lets you shape the data backbone powering agentic analytics and AI-powered workflows, with on-call responsibilities and collaboration with scientists and SDEs.

Qualifications

• 3+ years of data engineering experience.
• 3+ years of ETL/ELT pipeline development and operation.
• 3+ years of SQL experience.
• 3+ years of data modeling experience.
• 3+ years in the offered role or related occupation.

Responsibilities

• Design, build, and operate scalable ETL/ELT pipelines that ingest product telemetry, usage events, and business outcome data from multiple heterogeneous sources across the STT product portfolio.
• Architect and implement a centralized data platform using AWS-native technologies (Redshift, S3, Glue, Lake Formation, Lambda, Athena) that serves as the single source of truth for organizational analytics.
• Build and maintain data models that connect product usage signals to business outcomes (e.g., content effectiveness → field engagement → pipeline progression → revenue impact).
• Develop data infrastructure supporting AI/ML pipelines and agentic systems, including MCP tools and natural-language data access layers.
• Implement data quality frameworks with automated monitoring, alerting, and validation to ensure accuracy and reliability as the platform scales.
• Build self-service data products with clear SLAs, documentation, and governance that reduce ad-hoc request burden and empower stakeholders to answer their own questions.
• Partner with Applied Scientists and SDE teams to provide clean, well-modeled data for agent evaluation frameworks, retrieval quality measurement, and content effectiveness scoring.
• Establish data contracts, lineage tracking, and catalog metadata to support discoverability and trust across the organization.
• Operate with a high bar for operational excellence—owning on-call, monitoring pipeline health, and proactively resolving data freshness or quality issues before they impact consumers.
• Contribute to the evolution from static dashboards toward agentic data systems by building the foundational data layers that AI agents query and reason over.

Skills

Data engineering

SQL

ETL/ELT

Data modeling

Big data

Job description

Amazon is seeking a Data Engineer to join the Specialist Technology Team (STT) within the Centralized Data & Analytics group at AWS. You will design, build, and operate scalable data pipelines that ingest telemetry, usage, and business outcome data across the STT portfolio.

This greenfield role lets you shape the data backbone powering agentic analytics and AI-powered workflows, with on-call responsibilities and collaboration with scientists and SDEs.