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Data Engineer

Amazon· Security Data Intelligence (SDI)
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USA, WA, Seattle$101.3k - $160kFull-timePosted yesterday

About the role

Data Engineer I to join the Security Data Intelligence (SDI) team within the Amazon Security Experiences (ASE) organization. Build and maintain data pipelines and analytical data models to power security analytics, builder experience analytics, and tooling decisions across Amazon's security ecosystem. Work with source systems across AWS and SDO data domains, follow security/compliance standards, and collaborate with ASE, BizOps, MapSec, and other security teams.

Responsibilities

  • Learn and apply team-established data processing guidelines and best practices when building and testing pipelines.
  • Measure and improve dataset quality across owned pipelines and propose solutions to the team.
  • Understand the team's existing data architecture and build data solutions within it.
  • Create physical data models for assigned datasets and apply persistence/integration techniques.
  • Understand implementation trade-offs and seek guidance on normalization and distribution.
  • Write secure, stable, testable, and maintainable code; document solutions for ease of use.
  • Obtain code and data model reviews from senior engineers before deployment.
  • Test code thoroughly and understand maintenance characteristics and dependencies.
  • Build and maintain data pipeline infrastructure using team patterns and tools; apply DB optimization techniques.
  • Understand underlying system infrastructure and ensure security/compliance in infrastructure management.
  • Solve straightforward problems with guidance from senior engineers and handle cross-domain issues with proper hand-offs.
  • Deliver well-defined solutions on schedule within scope; participate in design, scoping, and prioritization discussions.
  • Manage own task execution and communicate progress/dependencies clearly.
  • Build relationships across ASE and SDO; collaborate with Business Analysts, Data Scientists, and SDEs.
  • Mentor DE interns when applicable and participate in the interview process.
  • Follow best practices for data discovery, naming conventions, and data security; ensure access control and auditability.
  • Track security risks in data handling, mitigate issues, and escalate when needed.
  • Identify data quality issues and participate in code reviews, design discussions, and planning sessions.
  • Participate in on-call rotation and respond to pipeline incidents; contribute to monitoring and runbooks.

Qualifications

  • 2+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting language (e.g., Python, KornShell)

Skills

Required:Data modelingETL pipelinesSQLPython or KornShell

Benefits

  • - Health insurance (medical, dental, vision, prescription)
  • - Basic Life & AD&D insurance and option for Supplemental life plans
  • - 401(k) matching
  • - Paid time off and parental leave
  • - Flexible Spending Accounts
  • - Adoption and Surrogacy Reimbursement coverage
  • - Employee assistance programs and mental health support
  • - Other standard Amazon benefits and sign-on/RSU packages
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

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