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Job Description

Amazon Advertising’s Marketing Insights and Technology (MINT) team is hiring a data engineer to build and maintain data pipelines and data lake solutions that deliver advertising insights.

Responsibilities

  • Develop and maintain data integration, data pipelines, and data lake solutions
  • Design scalable data models to 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 for customers
  • Improve existing pipelines integrated into Amazon data platform solutions Datanet/Cradle and AWS compute services (Glue, EMR, Airflow)
  • Contribute to documentation for data artifacts and team learning
  • Use peer feedback and reflection to raise quality and standards within the group
  • Demonstrate Amazon leadership principles and support the growth of peers in your team

Requirements

  • 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

Technologies

  • SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala
  • Python, KornShell
  • Hadoop, Hive, Spark, EMR
  • Redshift, S3
  • AWS Glue, Kinesis, FireHose, Lambda
  • IAM roles and permissions, Datanet, Cradle, Glue, Airflow

Preferred Qualifications

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

About the Team

  • MINT builds foundational datasets and data services powering Amazon Advertising’s insights platform (IHub)
  • Owns 300+ datasets with established data contracts
  • Operates a Data Quality, Transparency and Trust program to help ensure insights are accurate, timely, and explainable
  • Integrates infrastructure with Ads platform systems and supports sales-facing experiences

Location & Compensation

  • Location: New York, NY (onsite)
  • Salary: USD 111,400 - 185,000 per year

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

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