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Data Engineer II, Sales Data Services (SDS)

Amazon· Sales Intelligence, Technology, & Enablement (SITE)
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New York, NY$145.3k - $196.6kfull-timePosted yesterday

About the role

Big-data focused engineering role within SDS that builds and maintains data warehouse / data lake infrastructure on AWS, develops ETLs, and enables self-serve analytics for Sales teams across WW Advertising.

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.

Qualifications

  • 3+ years of data engineering experience
  • 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
  • 3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
  • 2+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
  • 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
  • 3+ years of in the job offered or a related occupation experience
  • 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
  • Experience with data modeling, warehousing and building ETL pipelines

Skills

Required:AWS RedshiftETL/ELTSQLData Modeling
Nice to have:AWS S3AWS Glue

Benefits

  • Health insurance (medical, dental, vision, prescription) and Basic Life & AD&D insurance
  • EAP, Mental Health Support, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching, paid time off, parental leave
  • Sign-on payments and restricted stock units (RSUs) included in package
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

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