Data Engineer, Deal Intelligence & Automation, AWS GDSP

Amazon Web Services (AWS); Boston (MA); In loco; USD 155.000 - 241.000; Tempo pieno

Vantaggi offerti da questo lavoro

Sign-on payments

Restricted stock units (RSUs)

Health insurance: medical, dental, v​i

401(k) matching

Paid time off

Parental leave

Descrizione del lavoro

Amazon Web Services (AWS) in Boston, MA seeks an experienced Data Engineer to build and operate data infrastructure powering deal intelligence and automation capabilities for AWS GDSP. You will own backend data pipelines, ensure clean and fresh data, and translate business problems into data requirements for self-service analytics.

The role requires 5+ years in data engineering, expertise in SQL, data modeling, warehousing, and ETL, plus mentoring experience.

Competenze

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience with SQL.
• Experience with at least one modern scripting or programming language: Python, Java, Scala, or NodeJS.
• Experience mentoring team members on best practices.

Mansioni

• Build and maintain backend data infrastructure for analytical and visualization platforms.
• Ensure data is clean, fresh, and optimized for downstream consumption.
• Translate business problem statements into technical data requirements.
• Partner with product management and stakeholders to define the data products to build.
• Automate and optimize reporting processes to enable self-service analytics at scale.
• Reduce manual effort and improve speed to insight.
• Develop measurement frameworks and metrics for deal execution performance and operational health.
• Ensure data quality through monitoring, validation, auditing, and pipeline and data source documentation.
• Leverage AWS services and generative AI to deliver next-generation data solutions that improve efficiency and unlock new analytical capabilities.

Conoscenze

Data modeling

Warehousing

ETL pipelines

Mentoring

SQL

Strumenti

SQL

Python

Java

Scala

NodeJS

Hadoop

Hive

Spark

EMR

Descrizione del lavoro

Build and operate data infrastructure that powers deal intelligence and automation capabilities for AWS GDSP.

Responsibilities

• Build and maintain backend data infrastructure for analytical and visualization platforms
• Ensure data is clean, fresh, and optimized for downstream consumption
• Translate business problem statements into technical data requirements
• Partner with product management and stakeholders to define the data products to build
• Automate and optimize reporting processes to enable self-service analytics at scale
• Reduce manual effort and improve speed to insight
• Develop measurement frameworks and metrics for deal execution performance and operational health
• Ensure data quality through monitoring, validation, auditing, and pipeline and data source documentation
• Leverage AWS services and generative AI to deliver next-generation data solutions that improve efficiency and unlock new analytical capabilities

Requirements

• 5+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with SQL
• Experience with at least one modern scripting or programming language: Python, Java, Scala, or NodeJS
• Experience mentoring team members on best practices

Technologies

• SQL
• Python
• Java
• Scala
• NodeJS
• Hadoop
• Hive
• Spark
• EMR

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance: medical, dental, vision, prescription, Basic Life & AD&D insurance, option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

About the Team

• Build products that power how GDSP operates
• Own reporting and tooling with high standards for clarity, reliability, and scalability

Diverse Experiences

• AWS values diverse experiences
• Encourages candidates to apply even if not all skills in the job description are met
• Alternative career paths and non-traditional experience are welcome

Why AWS

• AWS is a broadly adopted cloud platform
• AWS pioneered cloud computing and continues to innovate with a robust suite of cloud services

Inclusive Team Culture

• AWS values curiosity and connection
• Employee-led and company-sponsored affinity groups support inclusion
• Inclusion events help foster collaboration
• Continual innovation is driven by bold ideas, fresh perspectives, and passionate voices

Mentorship & Career Growth

• Knowledge-sharing, mentorship, and career-advancing resources
• Support for developing into a better-rounded professional

Work/Life Balance

• Work-life harmony is valued
• Flexibility is part of the working culture

Location: Boston, MA (onsite)

Compensation: USD 154,600 - 240,500 per yearly