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Added 1 day ago
Sr. Software Development Engineer, EC2 Nitro Specialized Instance team
Amazon
Santa Clara, CA
…product line. The Nitro Team is looking for engineers with systems knowledge and experience in area such as Linux OS boot sequencing, Kernel, Hypervisor (Xen or KVM), peripheral device…
Added 1 day ago
Lead Security Cloud & AI Analyst
EPAM Systems
San Jose, CA
Tracking abuse spikes via dashboards and applying SQL analysis to transform operational patterns into insights
Added 1 day ago
Senior Security Cloud & AI Analyst
EPAM Systems
San Jose, CA
Tracking abuse spikes via dashboards and applying SQL analysis to transform operational patterns into insights
Added 1 day ago
Data Engineer III
Simplot
Boise, ID
The position develops practical expertise across data engineering domains including SQL-based transformation and modeling, cloud-native data platforms, and large-scale data processing using…
Added 1 day ago
Operations Engineer, SP&E, Strategic Programs & Engineering
Amazon.com Services LLC
Nashville, TN · Bellevue, WA
…translating a station manager's frustration into a spec an engineer can act on, and explaining back to the field exactly what's being built and why. You own the dashboards that give…
Added 1 day ago
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Risk Adjustment Data Engineer
MetroPlusHealth
New York, NY
- $115,000 to $125,000 USD / year
The Risk Adjustment Data Engineer will be responsible for establishing and managing data processes related to Risk Adjustment at MetroPlusHealth. This includes maintaining tables in the…
Added 1 day ago
Forward Deployed Engineer - Applied AI
Banyan Software
United States
Integrate with real clinical data. Write the services, SQL and data pipelines that move PHI safely between MedicatOne, customer systems and model providers.
Added 1 day ago
Identity Governance and Administration (IGA) Engineer
ITC Digital Solutions
San Antonio, TX
Solid working knowledge of relational database management systems (Oracle, SQL Server, PostgreSQL) and SQL query writing.
Added 1 day ago
Product Manager
Vestwell
NY · Austin, TX · King of Prussia, PA · Scottsdale, AZ
Exceptional business and systems analysis skills
Added 1 day ago
Senior Data Engineer -Python and AWS
Infosys
United States
Tech Stack: AWS (S3, ECS, ECR, Lambda, Step Functions, Glue), Python, SQL
Added 1 day ago
AI Forward Deployed Engineer
Shermco Industries, Inc.
Irving, TX
Strong Python and SQL skills, plus experience integrating with REST APIs and enterprise systems.
Added 1 day ago
Software Engineer I
RTX
United States
…optimal performance, security, and reliability of our training systems You will work closely with cross-functional teams to support the development and maintenance of innovative solutions…
Added 1 day ago
Data Engineer I, Fire TV
Amazon
Seattle, WA
This is an excellent opportunity for an engineer who is early in their career and eager to develop strong data engineering fundamentals in a high-impact environment. You will contribute to…
Added 1 day ago
Software Development Engineer
ManpowerGroup
Seattle, WA
Our client, an industry leader in third-party administration of employee benefits, is seeking a Software Development Engineer to join their team. As a Software Development Engineer, you…
Added 1 day ago
Agentic Data Engineer, Frontier AI Tooling
Amazon
Seattle, WA
…solutions, and deliver them at scale? We are looking for a Data Engineer to own the data foundations behind the products and experiences that span ProServe, Frontier AI, and services teams…
Added 1 day ago
Data Engineer, Amazon Security Experience
Amazon
Seattle, WA
…productivity trends to security issue quality metrics, flows through systems our team designs, builds, and…
Added 1 day ago
Senior Security Cloud & AI Analyst
EPAM Systems
Seattle, WA
Tracking abuse spikes via dashboards and applying SQL analysis to transform operational patterns into insights
Added 1 day ago
Lead Security Cloud & AI Analyst
EPAM Systems
Seattle, WA
Tracking abuse spikes via dashboards and applying SQL analysis to transform operational patterns into insights
Added 1 day ago
Senior Enterprise Solutions Engineer
SCN BestCo
Mooresville, NC
The Senior Enterprise Solutions Engineer is responsible for designing, implementing, supporting, and optimizing Microsoft-based business solutions, enterprise applications, workflow…
Added 1 day ago
DevOps Engineer
International Logic Systems, Inc.
Washington, DC
International Logic Systems (ILS) is seeking an experienced DevOps Engineer to support application deployment, configuration, monitoring, maintenance, and infrastructure operations in…
Added 1 day ago
BUSINESS AUTOMATION INTEGRATION ENGINEER
Patient Care America
Pompano Beach, FL
The Business Automation Integration Engineer is responsible for designing, developing, implementing, testing, and maintaining integrations and automated workflows across enterprise…
Added 1 day ago
Junior AI Polyglot Engineer
Mitsui Sumitomo Marine Management (USA), Inc.
Warren, NJ
We are seeking a Junior AI Polyglot Engineer to join a product domain team within our Commercial Property & Casualty (P&C) insurance business, supporting areas such as Underwriting, Claims,…
Added 1 day ago
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AI Engineer I
Federal Express Corporation
Memphis, TN
- $7,094.23 to $12,533.14 USD / month
The AI Engineer is responsible for designing, developing, deploying, and maintaining artificial intelligence and machine learning solutions that support intelligent automation, predictive…
Added 1 day ago
EDI Support Specialist
Aalberts Integrated Piping Systems Americas
Charlotte, NC
Support interfaces between JD Edwards and other connected applications, including manufacturing and shop-floor systems, and help expand support as additional integrations are introduced.
Added 1 day ago
RU
Principal Software Engineers (Software Developers)
Randstad USA
Woburn, MA
- $186,161 to $186,200 USD / year

Amazon

Data Engineer, Amazon Security Experience

Seattle, WA, United States

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Job details

Experience: 2+ years of data engineering experience
Posting language: English
Posted: Oct 19, 2026

Original job description

Description

The Amazon Security Experiences (ASE) organization is the data intelligence backbone of Amazon Security. We build and operate the data platform that powers security insights, builder experience analytics, and tooling decisions across Amazon's security ecosystem. Every insight surfaced to security leadership, from builder productivity trends to security issue quality metrics, flows through systems our team designs, builds, and maintains.

We operate at scale, processing large volumes of security and operational data daily through hundreds of pipelines consisting of transformations, reporting queries, ingestions, and infrastructure management scripts. Our engineers work directly with source systems across AWS and SDO (Security, Developer, and Operations) data domains to procure data, convert it into structured formats, build large-scale processing pipelines, design analytical data models, and maintain infrastructure with the highest security and compliance standards.

We are seeking a Data Engineer I to join our Security Data Intelligence (SDI) team. In this role, you will build and maintain data pipelines that power security analytics across Amazon. Working with well-defined requirements and guidance from senior engineers, you will create physical data models, optimize data pipelines for defined datasets, and deliver reliable, well-documented solutions on schedule. You will partner with teams across ASE, BizOps, MapSec, and other security organizations to implement data ingestion flows and support analytical models that serve the broader Amazon Security organization.

Key job 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, identifying issues and proposing solutions to the team. Flag limitations or opportunities in data processing tools to senior engineers for evaluation.

Learn and understand the team's existing data architecture, including how security data flows through ingestion, transformation, and serving layers. Build data solutions at the component level within the established team data architecture, following defined logical data models. Create physical data models for assigned datasets, applying appropriate persistence and integration techniques. Understand the implications of implementation decisions (e.g., normalization, distribution) and seek guidance from senior engineers on trade-offs.

Write secure, stable, testable, and maintainable code with minimal defects, following team coding standards. Clearly document solutions for ease of use and maintainability by teammates and data consumers. Get all data models, pipeline designs, and code reviewed by senior engineers before deployment. Test code thoroughly and understand the maintenance characteristics, runtime properties, and dependencies of delivered solutions.

Build and maintain data pipeline infrastructure for assigned datasets using team-established patterns and tools. Apply basic database optimization techniques such as partitioning, distribution, and indexing as directed. Understand the underlying system infrastructure that data solutions depend on, including differences between data persistence solutions. Follow team guidelines for infrastructure management, security compliance, and automation practices.

Solve straightforward, well-defined problems with guidance from senior engineers, for example, building ingestion pipelines for a new security data source where the schema and requirements are defined, or troubleshooting data quality issues in existing datasets by researching root causes and thoroughly resolving defects. Handle problems even outside your own domain by either resolving them or ensuring a clear hand-off to the right owner.

Take well-defined requirements and deliver solutions on schedule within assigned scope. Participate in team design, scoping, and prioritization discussions to understand project context. Manage your own task execution effectively, seeking guidance when blocked or uncertain. Communicate progress and dependencies clearly to your team lead and senior engineers.

Build good working relationships with teammates, peer engineers, and data consumers across ASE and SDO. Partner effectively with Business Analysts, Data Scientists, and peer SDEs to understand data requirements. Help train and mentor DE interns when applicable. Participate in the interview process. Recognize discordant views and participate in constructive dialogue with peers.

Follow team-established best practices for data discovery, naming conventions, and data security. Classify, store, and handle data per Amazon security and compliance policies. Ensure proper access control, data integrity, and auditability for all produced datasets. Track security risks in data handling, mitigate issues, and escalate in a timely manner.

Identify data quality issues and pipeline deficiencies in owned components and propose solutions to the team. Participate in code reviews, design discussions, and team planning sessions. Make small improvements to team development processes when directed. Actively seek knowledge of team data architecture and apply learnings to improve your data solutions.

Participate in on-call rotation and respond to pipeline incidents following established runbooks and escalation procedures. Understand the maintenance characteristics, runtime properties, and dependencies of team data systems. Contribute to monitoring and alarming setup for owned pipelines with guidance from senior engineers. Document incident resolutions and contribute to runbook updates for owned components.

Basic 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)

Preferred Qualifications

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, WA, Seattle - 101,300.00 - 160,000.00 USD annually

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