Data Engineer, Amazon Ads

What you'll do

• Set technical direction for the data warehouse, ETL pipelines, and reporting; architect and operate data jobs and dashboards.
• Integrate data from Amazon’s ecosystem and create documented, query-ready dimensional models.
• Establish data quality and reliability standards, deliver reporting for business cycles and executive requests, and mentor engineers.

What they ask for

• 5+ years of data engineering experience, including architecting and operating production ETL at scale on Redshift, Andes, or equivalent.
• Experience with data modeling, warehousing, ETL pipelines, and SQL.
• Experience with at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
• Experience mentoring team members on best practices.

Nice to have

• Experience with big data technologies such as Hadoop, Hive, Spark, or EMR.
• Experience operating large data warehouses and communicating data strategy and modeling decisions to users, technical teams, and management.

Pay

170,000.00 - 230,000.00 USD annually (base salary); 154,600.00 - 209,100.00 USD annually (base salary)

Tools

SQL, Redshift, Andes, Datanet/ETLM, Cradle, Redshift Spectrum, EDX, QuickSight (SPICE)

AI focus

Build data infrastructure and reporting for agentic AI advertising products; use AI tools for productivity, automation, and defect/opportunity identification.