Data Engineer - Centralized Analytics & AWS Platform

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

Job summary

Amazon Web Services, Inc. is seeking a Data Engineer to design, build, and operate scalable data pipelines and a centralized analytics platform. You will collaborate with AI/ML teams and BI engineers to enable field teams with reliable data to drive insights and decision-making.

You will work on ETL/ELT pipelines, data modeling, and governance, leveraging AWS services to deliver scalable solutions that support thousands of users and complex analytics across the STT portfolio.

Qualifications

• 3+ years of data engineering experience.
• 3+ years of developing and operating large-scale BI analytics data structures using ETL/ELT
• 3+ years of SQL development and data modeling experience.

Responsibilities

• Design, build, and operate scalable ETL/ELT pipelines ingesting telemetry, usage events, and business data across STT portfolio.
• Architect a centralized data platform using AWS-native tech (Redshift, S3, Glue, etc.) as source of truth for analytics.
• Build and maintain data models linking product usage signals to business outcomes.

Skills

Data engineering

SQL

Data modeling

ETL/ELT pipelines

Tools

Redshift

S3

Glue

Lake Formation

Lambda

Job description

Amazon Web Services, Inc. is seeking a Data Engineer to design, build, and operate scalable data pipelines and a centralized analytics platform. You will collaborate with AI/ML teams and BI engineers to enable field teams with reliable data to drive insights and decision-making.

You will work on ETL/ELT pipelines, data modeling, and governance, leveraging AWS services to deliver scalable solutions that support thousands of users and complex analytics across the STT portfolio.