Data Engineer, Marketing Insights and Technology

Amazon Advertising LLC; New York (NY); On-site; USD 111,000 - 185,000; Full time

Benefits offered by this job

Sign-on payments

RSUs

Health insurance (medical, dental, vis

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Advertising LLC is seeking a Data Engineer to design and operate data integration, pipelines, and lake solutions enabling reliable advertising insights. The role emphasizes scalable data modeling, integration with AWS data platform solutions, and ongoing improvements to data quality and documentation.

Join the MINT team in New York, onsite, contributing to data artifacts, pipelines, and collaborative engineering standards while leveraging AWS Glue, EMR, Redshift, and Airflow.

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, data warehousing, and building ETL pipelines.

Responsibilities

• Develop and maintain data integration components, data pipelines, and data lake solutions.
• Build scalable data models that support analytics, BI, engineering, and agentic workflows.
• Partner with cross-functional teams to deliver customer solutions.
• Improve existing data pipelines within AWS data platform solutions (Datanet/Cradle) and data services.
• Document data artifacts and promote team learning.

Skills

Data engineering

Data modeling

Data warehousing

ETL pipelines

SQL

PL/SQL

DDL

MDX

HiveQL

SparkSQL

Scala

Python

KornShell

Tools

SQL

PL/SQL

DDL

MDX

HiveQL

SparkSQL

Scala

Python

KornShell

Hadoop

Hive

Spark

EMR

Redshift

S3

AWS Glue

Kinesis

FireHose

Lambda

IAM roles

Datanet

Cradle

Glue

Airflow

Job description

Amazon Advertising’s Marketing Insights and Technology (MINT) team is looking for a Data Engineer to design and operate data integration, pipelines, and lake solutions that enable reliable advertising insights. This role emphasizes scalable data modeling, integration with Amazon data platform solutions, and ongoing improvements to data quality, reliability, and documentation.

Key Responsibilities

• Develop and maintain data integration components, data pipelines, and data lake solutions.
• Build scalable data models that support analytics, business intelligence, engineering, and agentic workflows.
• Partner with cross-functional technical teams, including Software Development Engineers, Data Engineers, and Product Managers, to deliver solutions for customers.
• Improve existing data pipelines used within Amazon data platform solutions such as Datanet/Cradle and AWS compute services including Glue, EMR, and Airflow.
• Contribute to the documentation of data artifacts and ongoing team learning.
• Use feedback and peer input to raise engineering standards across the team.
• Apply Amazon leadership principles and support the growth of peers within the group.

Required Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, data warehousing, and building ETL pipelines.
• Experience with one or more query languages, such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala.
• Experience with one or more scripting languages, such as Python or KornShell.

Technology Stack

The role involves working with SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala, Python, KornShell, and big data tools such as Hadoop, Hive, and Spark. Experience with AWS services and components including EMR, Redshift, S3, AWS Glue, Kinesis, FireHose, Lambda, and IAM roles and permissions is relevant, as well as Amazon data platform solutions Datanet and Cradle and orchestration via Glue and Airflow.

Preferred Qualifications

• Experience with big data technologies including Hadoop, Hive, Spark, and EMR.
• Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.

About the Team

MINT develops foundational datasets and data services that support Amazon Advertising’s insights platform (IHub). The team owns 300+ datasets with established data contracts and runs a Data Quality, Transparency and Trust program designed to ensure insights are accurate, timely, and explainable. Infrastructure integrates with Ads platform systems and supports sales-facing experiences.

Location

New York, NY (onsite)

Compensation

USD 111,400 - 185,000 per yearly

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance including 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