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Data Engineer, Marketplace

Amazon

Data Engineer, Marketplace

full-timePosted: Aug 6, 2026Updated: Aug 27, 2026Austin, Texas, United States

Job Description

Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The AWS Marketplace team is looking for a Data Engineer to play a key role in building insights from our large and ever-growing sets of partner and customer data. Are you passionate about highly scalable data platforms and visualization? Do you enjoy building end to end analytics solutions to help drive business decisions? If so, this role will challenge and excite you! The Data Engineer will design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for analytics. Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes leveraging AWS technologies and data tools. Provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Produce comprehensive, usable dataset documentation and metadata. Provides input and recommendations on technical issues. 10010

Locations

  • Austin, Texas, United States

Salary

132,100 - 178,800 USD / yearly

Skills Required

  • data modelingintermediate
  • AWS technologies like Redshiftintermediate
  • non-relational databases / data storesintermediate

Required Qualifications

  • 3+ years of data engineering experience (experience, 3 years)
  • Experience with data modeling, warehousing and building ETL pipelines (experience)

Preferred Qualifications

  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions (experience)
  • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) (experience)

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