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Data Engineer I, Sales Data Services (SDS

Job in New York, New York County, New York, 10261, USA
Listing for: Amazon
Full Time position
Listed on 2026-08-07
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 111000 - 185000 USD Yearly USD 111000.00 185000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer I, Sales Data Services (SDS)
Location: New York

Job :  |  Services LLC

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on , across our other owned and operated sites, on other high-quality sites across the web, and on millions of Kindles, tablets, and mobile devices.

We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.

Key job responsibilities
  • Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift.
  • Develop and manage ETLs to source data from various data lakes and create unified data model for analytics and reporting
  • Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
  • Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
  • Manage numerous requests concurrently and strategically, prioritizing when necessary collaborate across teams to deliver results.
  • Mentor other engineers, influence positively team culture, and help grow the team.
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, Korn Shell)
Preferred Qualifications
  • Experience with big data technologies such as:
    Hadoop, Hive, Spark, EMR
  • Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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 (Use the "Apply for this Job" box below). 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  .

USA, NY, New York -  -  USD annually

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

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