Data Engineer, Deal Intelligence & Automation, AWS GDSP

Amazon Web Services (AWS); New York (NY); In loco; USD 155.000 - 241.000; Tempo pieno

Vantaggi offerti da questo lavoro

RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Flexible Spending Accounts

Adoption and Surrogacy Reimbursement

EAP

Mental Health Support

Medical Advice Line

Descrizione del lavoro

Amazon Web Services (AWS) in New York, NY is hiring a data engineering professional to design, build, and maintain backend data infrastructure and pipelines that support deal intelligence and automation across AWS GDSP. You will ensure clean, fresh data and scalable reporting to accelerate insights.

You will apply AWS services and generative AI to unlock analytical capabilities, mentor teammates, and partner with product stakeholders to translate business challenges into data products.

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

• Design, build, and maintain backend data infrastructure for analytical and visualization platforms, ensuring data is clean, fresh, and optimized for downstream consumption.
• Translate business problem statements into technical data requirements, partnering with product management and stakeholders to define the data products to build.
• Automate and optimize reporting workflows to enable self-service analytics at scale, reducing manual effort and improving time to insight.
• Develop measurement frameworks and metrics to quantify deal execution performance and operational health.
• Maintain data quality through monitoring, validation, auditing, and documentation of pipelines and data sources.
• Use AWS services and generative AI to deliver next-generation data solutions that improve efficiency and expand analytical capabilities.

Conoscenze

Data modeling

Warehousing

ETL pipelines

Mentoring

SQL

Strumenti

SQL

Python

Java

Scala

NodeJS

Hadoop

Hive

Spark

EMR

ETL

Descrizione del lavoro

You will build data infrastructure and pipelines that support deal intelligence and automation across AWS GDSP, with a focus on clean, fresh data and scalable reporting that improves speed to insight. The team sets a high bar for clarity, reliability, and scalability in the tools it delivers, and you will apply AWS services and generative AI to unlock new analytical capabilities.

Location: New York, NY (onsite)
Compensation: USD 154,600 to 240,500 per year
Experience: 5+ years

What you'll do

• Design, build, and maintain backend data infrastructure for analytical and visualization platforms, ensuring data is clean, fresh, and optimized for downstream consumption
• Translate business problem statements into technical data requirements, partnering with product management and stakeholders to define the data products to build
• Automate and optimize reporting workflows to enable self-service analytics at scale, reducing manual effort and improving time to insight
• Develop measurement frameworks and metrics to quantify deal execution performance and operational health
• Maintain data quality through monitoring, validation, auditing, and documentation of pipelines and data sources
• Use AWS services and generative AI to deliver next-generation data solutions that improve efficiency and expand 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 you may work with

SQL, Python, Java, Scala, NodeJS, Hadoop, Hive, Spark, EMR, ETL

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and 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
• Support for workplace accommodation or adjustment during the application and hiring process

Inclusive team culture

AWS values curiosity and connection. Employee-led and company-sponsored affinity groups promote inclusion and empower people, and inclusion events help build stronger, more collaborative teams.

Mentorship & career growth

The team supports endless knowledge-sharing, mentorship, and other career-advancing resources.

Work/life balance

AWS values work-life harmony and strives for flexibility as part of its working culture.