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Added 1 min ago
AS
Bus Intel EngIII - 10563836
Amazon.com Services LLC
Orlando, FL
- $130,400 to $176,300 USD / year
…mathematical modeling. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for…
Added 1 min ago
Senior DevOps Delivery Consultant, AWS Professional Services, AWS WWCO ProServe: Ent Segment/Country Teams Shared Delivery Teams - VAR
Amazon Web Services, Inc.
Jersey City, NJ · Bellevue, WA · Arlington, VA · Atlanta, GA · New York, NY · Santa Monica, CA · Herndon, VA · Chicago, IL · Dallas, TX
- Hands on experience designing and implementing ETL data pipelines (Kafka, Airflow, Spark, Hadoop, Glue), MLOps pipelines (Sagemaker, MLFlow, Kubeflow.
Added 1 min ago
W
Technical Lead Manager, ML Dataset Platform
Waabi
San Francisco, CA · Pittsburgh, PA
- $200,000 to $280,000 USD / year
Design the APIs that let teams express training-time transformations along the continuum between fully reproducible ahead-of-time ETL and dynamic transformation within data loaders.
Added 4 mins ago
Sr. Account Data and BI Analyst
LocumTenens.com, LLC
United States
Added 13 mins ago
M
Risk Adjustment Data Engineer
MetroPlusHealth
New York, NY
- $115,000 to $125,000 USD / year
Develop test cases to validate data processes, ETL workflows, and report logic.
Added 17 mins ago
Senior Python Software Engineer III
JPMC page
Houston, TX
As a Senior Associate Developer at JPMorganChase within the Corporate Technology Market Risk Management Development Organization, you are part of an agile team that works to enhance,…
Added 24 mins ago
TS SCI Cleared Data Scientist - Sr
Nalley Consulting
Charlottesville, VA
12+ years of experience in Extract, Transform, and Load (ETL) processes
Added 29 mins ago
Lead Software Engineer - Data Engineering & Platform
CAI Cox Automotive Corp Svcs., LLC
Dallas, TX
…cloud-native data platforms using Python, Snowflake, NoSQL databases, ETL/ELT frameworks, and AWS services (ECS, Lambdas, SQS, DynamoDB, Step Functions, RDS). You'll drive engineering best…
Added 31 mins ago
SC
Enterprise Solution Engineer - East
Sigma Computing
Boston, MA · NY
- $160,000 to $180,000 USD / year
ETL experience - Fivetran, Matillion or traditional ETL
Added 31 mins ago
Senior Staff AI / ML Solutions Engineer
Thermo Fisher Scientific
Morrisville, NC
Working knowledge of data architecture, ETL/ELT processes, data quality, and access controls.
Added 34 mins ago
Sr Analytics Sales Specialist, HITECH Enterprise Accounts
Amazon
Bellevue, WA
…for Spark, Hive, and Presto workloads; AWS Glue, a managed ETL service for data preparation and transformation; AWS Lake Formation, for simplified data lake creation and management; AWS…
Added 34 mins ago
Software Development Engineer, Leo Commerce Data Platform
Amazon
Redmond, WA
Design core ETL framework capabilities shaping data from 50+ producers to be accessed by dozens of consumers
Added 34 mins ago
Data Scientist (Starlink)
SpaceX
Redmond, WA
Experience in custom ETL design, implementation, and maintenance
Added 34 mins ago
Data Engineer I, Fire TV
Amazon
Seattle, WA
Build and maintain ETL/ELT workflows using SQL, Python, and AWS services
Added 34 mins ago
Data Engineer, Amazon Security Experience
Amazon
Seattle, WA
…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…
Added 36 mins ago
BUSINESS AUTOMATION INTEGRATION ENGINEER
Patient Care America
Pompano Beach, FL
Experience automating workflows and creating, maintaining, monitoring, and supporting ETL/ELT pipelines.
Added 37 mins ago
Junior AI Polyglot Engineer
Mitsui Sumitomo Marine Management (USA), Inc.
Warren, NJ
Data Integration & Orchestration: Data movement, ingestion, transformation, and ETL/ELT workflows using Azure Data Factory and related technologies.
Added 41 mins ago
Database Administrator - SQL Server / Azure / ETL – Lansing, MI (Local Candidates Only)
Startekk Inc
Lansing, MI
The ideal candidate will have extensive experience in Microsoft SQL Server database administration, Azure database services, SQL data modeling, and ETL development.
Added 42 mins ago
Data Engineer
Robert Half
Jacksonville, FL
Build and optimize scalable ETL/ELT pipelines for structured and unstructured data sources.
Added 53 mins ago
Data Analytics & Visualization Engineer
Leidos
Scott Air Force Base, IL
Strong understanding of data modeling, ETL processes, and data pipeline development.
Added 53 mins ago
Data Analytics & Visualization Engineer
Leidos
Scott Air Force Base, IL
Strong understanding of data modeling, ETL processes, and data pipeline development.
Added 53 mins ago
Senior ServiceNow ITMS Developer
CACI International
O'Fallon, IL
We are seeking an experienced ServiceNow ITSM Senior Developer to lead the design, development, and implementation of IT Service Management solutions. This role requires deep technical…
Added 53 mins ago
Service Now CMDB SME
CACI International
O'Fallon, IL
Added 53 mins ago
SAP Data Services Developer
CACI International
Scott AFB, IL
Design, configure, and optimize SAP Data Services (BODS) ETL/ELT workflows, dataflows, and mappings across SAP ECC, SAP S/4HANA, SAP BW, and non‑SAP systems.
Added 53 mins ago
Data Test Engineer
CACI International
Scott AFB, IL
Data Testing Expertise: Hands-on experience with data validation, ETL/ELT testing, source-to-target reconciliation, data migration/conversion testing, and data-quality testing

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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