# DE, Amazon Talent Solutions, ITDS Data Foundations at Amazon

Amazon is hiring a DE, Amazon Talent Solutions, ITDS Data Foundations in Seattle, United States. It pays $132k-$179k a year and Level rates it Little AI ●○○○; you can [apply on Amazon](https://jobsbylevel.com/go/c3bfa2c5-f4bc-4e69-a89f-a4369787cbd4?utm_medium=ai-agent).

AI Level 1, AI centrality 33 out of 100. US, WA, Seattle.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 1 (score 33 out of 100)
- Location: US, WA, Seattle
- Salary: $132k-$179k
- Posted: November 10, 2026
- Apply: https://jobsbylevel.com/go/c3bfa2c5-f4bc-4e69-a89f-a4369787cbd4?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=de-amazon-talent-solutions-itds-data-foundations-at-amazon-94f60d

## Description

There are now more than 1.3 million Amazonians worldwide. As part of People eXperience and Technology organization, the Amazon Talent Solutions team’s mission is to create innovative, science-based, and inclusive products and experiences for all Amazonians to help us become “Earth’s Best Employer.” We are seeking a highly motivated Data Engineer for a cross functional Data Foundations team in the Integrated Talent Development Systems (ITDS) organization. In this role, you will define and deliver streaming and batch ingestion architectures that unify service data domains into a cross-cutting talent data model that is vended for both analytics and operational use cases, powering 100s of downstream integrations. This role requires deep expertise with data processing, storage, and vending technologies. You will explore the cutting edge and apply it to solve scale and performance challenges inherent to horizontal data services. Key job responsibilities As a Data Engineer, you will/may: • Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources. • Design data schema and operate internal data warehouses and SQL/NoSQL database systems. • Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions. • Monitor and troubleshoot operational or data issues in the data pipelines. • Drive architectural plans and implementation for future data storage, reporting, and analytic solutions. • Develop code based automated data pipelines able to process millions of data points. • Improve database and data warehouse performance by tuning inefficient queries. • Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems. • Provide assistance with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem. Basic qualifications - 3+ years of data engineering experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience - 1+ 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 - 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle 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 each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) 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 Preferred qualifications - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) 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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/de-amazon-talent-solutions-itds-data-foundations-at-amazon-94f60d

Source: https://jobsbylevel.com/jobs/de-amazon-talent-solutions-itds-data-foundations-at-amazon-94f60d

## Cite this page

Level. https://jobsbylevel.com/jobs/de-amazon-talent-solutions-itds-data-foundations-at-amazon-94f60d.

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