Data Engineer — AWS-AI Pipelines & Analytics (NYC Onsite)

Amazon Web Services (AWS); New York (NY); On-site; USD 155,000 - 241,000; Full time

Benefits offered by this job

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

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data modeling

Warehousing

ETL pipelines

Mentoring

SQL

Tools

SQL

Python

Java

Scala

NodeJS

Hadoop

Hive

Spark

EMR

ETL

Job description

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.