Data Engineer, Marketing Insights and Technology

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

Benefits offered by this job

Health Insurance

401(k) Matching

Paid Time Off

Parental Leave

Job summary

Amazon Advertising's MINT team builds data pipelines powering insights for advertisers across Amazon, Prime Video, Twitch, and beyond. We design scalable data models and data lakes to deliver timely, accurate insights to thousands of users and billions in advertising spend.

You will own data integration and pipeline maintenance, collaborate with software engineers, data engineers, and product managers, and contribute to data quality and trust initiatives across the platform.

Qualifications

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

Responsibilities

• Own the development and maintenance of data integration, data pipelines and data lake solutions
• Implement scalable data models for serving data needs of analytics, business intelligence, engineering, and agentic workflows
• Collaborate with top-notch, multi-disciplinary technical professionals to deliver on behalf of customers
• Use your expertise to improve existing data pipelines running in Amazon data platform solutions Datanet/Cradle and AWS compute (Glue, EMR, Airflow)
• Actively contribute to team's documentation of data artifacts and learning
• Use introspection and feedback from teammates and peers to raise the bar for your team
• Be an example of Amazon's leadership principles and work to grow peers within your group

Skills

Data Modeling

ETL Pipelines

Data Warehousing

SQL / HiveQL / SparkSQL

Python

AWS Data Services

Data Quality & Trust

Tools

AWS Glue

EMR

Redshift

S3

Kinesis

Airflow

Lambda

IAM roles and permissions

Job description

Amazon Advertising is one of Amazon's fastest-growing businesses. The Marketing Insights and Technology (MINT) team builds the data infrastructure that powers advertising insights used by Amazon's global sales organization and advertisers. Our insights help advertisers — from the largest global brands to small businesses — understand their audiences, optimize their marketing spend, and drive awareness, consideration, and purchase of their products across Amazon, Prime Video, Twitch, and beyond. Our data pipelines also feed agentic workflows that serve insights to advertisers and sales teams at scale.

We are looking for highly motivated data engineers to design, develop, and maintain data pipelines that serve the needs of our large and growing advertiser base. You'll build systems that ensure timely, accurate, and trustworthy insight delivery — directly impacting thousands of users and billions in advertising spend. You'll work alongside senior engineers, scientists, and product managers in a fast-paced environment where data quality and reliability are first-class priorities.

Key job responsibilities

• Own the development and maintenance of data integration, data pipelines and data lake solutions
• Implement scalable data models for serving data needs of analytics, business intelligence, engineering, and agentic workflows
• Collaborate with top-notch, multi-disciplinary technical professionals (e.g., Software Development Engineers, Data Engineers, and Product Managers) to deliver on behalf of customers
• Use your expertise to improve existing data pipelines running in Amazon data platform solutions Datanet/Cradle and AWS compute (Glue, EMR, Airflow)
• Actively contribute to team's documentation of data artifacts and learning
• Use introspection and feedback from teammates and peers to raise the bar for your team
• Be an example of Amazon's leadership principles and work to grow peers within your group

About the team

MINT builds foundational datasets and data services that power Amazon Advertising's insights platform (IHub). We own 300+ datasets with established data contracts, and operate a Data Quality, Transparency and Trust program ensuring our insights are accurate, timely, and explainable. Our infrastructure integrates with Ads platform systems and supports sales-facing experiences.

Basic Qualifications

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

Preferred Qualifications

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 111,400.00 - 185,000.00 USD annually