Data Engineer - AI-Powered Deal Intelligence Pipelines

Amazon Web Services (AWS); Arlington (VA); Presencial; USD 155.000 - 209.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

401(k) matching

Paid time off

Parental leave

Descripción de la vacante

Amazon Web Services, Inc. is seeking a Data Engineer to own the data infrastructure enabling deal intelligence and automation at scale. You will design, build, and maintain pipelines and data models to deliver precise insights for deal teams across AWS.

The role partners with GDSP product management and engineering teams, leveraging AI and AWS services to raise data capabilities. The team prioritizes data quality, freshness, and accuracy to improve deal velocity, pricing quality, and revenue

Formación

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with SQL and at least one scripting language (Python/Java/Scala/NodeJS).

Responsabilidades

• Build and maintain backend data infrastructure for analytical and visualization platforms.
• Translate business problems into technical data requirements with stakeholders.
• Automate and optimize reporting for self-service analytics at scale.
• Develop measurement frameworks to quantify deal execution performance.
• Ensure data quality via monitoring, validation, auditing and documentation.
• Leverage AWS services and generative AI to extend data solutions.

Conocimientos

Data engineering

Data modeling

ETL pipelines

SQL

Python/Java/Scala/NodeJS

Mentoring

Herramientas

Hadoop

Hive

Spark

EMR

Descripción del empleo

Amazon Web Services, Inc. is seeking a Data Engineer to own the data infrastructure enabling deal intelligence and automation at scale. You will design, build, and maintain pipelines and data models to deliver precise insights for deal teams across AWS.

The role partners with GDSP product management and engineering teams, leveraging AI and AWS services to raise data capabilities. The team prioritizes data quality, freshness, and accuracy to improve deal velocity, pricing quality, and revenue