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Data Engineer, AWS Compliance & Security Assurance

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon Web Services (AWS)
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    Data Engineer, Data Security, Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

The AWS Compliance & Security Assurance team scales AWS's ability to exceed the security and compliance expectations of regulators, auditors, and customers globally. As a Data Engineer, you will design and deliver scalable data products that power AWS Security initiatives. You will own data domains end-to-end, from architecture through productionization and lifecycle management.

Responsibilities
  • Design and own scalable data architecture and pipelines using native AWS technologies (e.g., S3, Redshift, Glue, Lambda) to support BI solutions and customer analytics needs at scale.
  • Build and deploy high-impact data products that transform complex datasets into actionable intelligence for internal and external customers.
  • Collaborate cross-functionally with Business Intelligence Engineers and business stakeholders to gather requirements and translate them into scalable data engineering solutions.
  • Partner with Software Engineering teams to distill large, complicated datasets into digestible analytical insights.
  • Insist on the highest standards by recognizing and adopting best practices in data engineering (data lineage, data integrity, data quality, pipeline observability).
  • Actively participate in code reviews and design discussions to identify simplification opportunities and propose scalable solutions.
Qualifications
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • 2+ years experience with AWS technologies such as Redshift, S3, AWS Glue, Lambda, IAM etc.
  • Proficiency in at least one scripting or programming language, such as Python or Type Script
Preferred Qualifications
  • Bachelor's Degree in Computer Science or related field
  • Hands-on experience with AI tools and techniques to accelerate data product delivery and automate data engineering workflows
  • Advanced SQL skills with expertise in query performance tuning
  • Experience with non-relational databases/data stores (object storage, document or key-value stores)
  • Experience with data pipeline observability, monitoring, and alerting
  • Experience mentoring other engineers on data engineering practices
  • Experience managing infrastructure as code (e.g., AWS CDK)
  • Strong software engineering fundamentals including CI/CD, testing, source control, and operational excellence

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 Amazon accommodations page 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, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at the Amazon jobs benefits page.

USA, WA, Seattle -  -  USD annually

Company:
Amazon Web Services, Inc.

Job : A

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