The role involves working as a data engineer within Amazon Advertising's Marketing Insights and Technology (MINT) team, which focuses on building data infrastructure for advertising insights. The team supports a diverse range of advertisers by providing accurate and timely data to optimize marketing efforts. Data engineers will collaborate with various technical professionals to enhance data pipelines and ensure data quality. This position directly impacts advertising spend and user experience across Amazon's platforms.

• 1+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with one or more query languages such as SQL or SparkSQL
• Experience with one or more scripting languages such as Python
• Experience with big data technologies like Hadoop and Spark
• Experience with AWS technologies including Redshift and S3

• Own the development and maintenance of data integration and data pipelines
• Implement scalable data models for various analytics and business needs
• Collaborate with multi-disciplinary technical professionals to deliver solutions
• Improve existing data pipelines running on Amazon data platform solutions
• Contribute to the team's documentation of data artifacts and learning
• Use feedback from teammates to enhance team performance

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.