Jobs in the United States

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Added 7 days ago
M
Software Engineer 2
Markon
Fort Meade, MD
- $245,000 to $255,000 USD / year
…developing, testing, and maintaining software solutions using Python, Linux, and containerization…
Added 7 days ago
TS SCI Cleared Data Scientist - Sr
Nalley Consulting
Charlottesville, VA
You’ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You’ll guide data…
Added 7 days ago
Cleared Senior Software Engineer/System Engineer
Azusa Solutions LLC
Annapolis Junction, MD
**Candidate must hold an active TS/SCI w/Poly clearance**
Added 7 days ago
Machine Learning Engineer 4 - Manager IC
Capital One
NY · McLean, VA · San Jose, CA
…application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical,…
Added 7 days ago
Full-stack Engineer 4 (Python, AWS)
Capital One
McLean, VA
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet…
Added 7 days ago
Senior Manager, Full-stack Engineer
Capital One
McLean, VA · Cambridge, MA · Richmond, VA
Lead teams utilizing programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services…
Added 7 days ago
Director, Embedded Software Engineering, Amazon Leo
Amazon
Redmond, WA
The Director of Embedded Software Engineering will lead mission-critical embedded software development for Amazon Leo's satellite bus systems, ensuring our satellite constellation meets…
Added 7 days ago
Manager, SATCOM System Engineer , Leo Customer Terminal
Amazon
Redmond, WA
Lead a team of talented engineers, provide mentorship and career growth opportunity
Added 7 days ago
Sr. Thermal Design Engineer, Amazon Leo
Amazon
Redmond, WA
-Lead thermal design and analysis for consumer electronics products, ensuring high-quality deliverables are completed on time and with efficiency
Added 7 days ago
System Development Engineer, Backbone, Enterprise and Regional Engineering BERE
Amazon
Seattle, WA
Lead network projects in the areas of network sustaining engineering, network implementation, network scaling, best practices application, and/or network optimization.
Added 7 days 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 7 days ago
Senior Applied Scientist, Selling Partner Selection Success
Amazon
Seattle, WA
We are looking for a Senior Applied Scientist to lead us to identify data-driven insight and opportunities to improve our SP recruitment strategy and drive new seller success. As a…
Added 7 days ago
Lead Security Cloud & AI Analyst
EPAM Systems
Seattle, WA
SQL proficiency required, ability to read and understand Python preferred
Added 7 days ago
Product Quality Engineer
Meta
Seattle, WA · Bellevue, WA
Lead root cause analysis and corrective action programs for systemic hardware failures, managing failure analysis workflows and driving closure of critical issues against defined yield and…
Added 7 days ago
Data Analyst (TERM LIMITED)
University of Michigan
Ann Arbor, MI
…The data are analyzed and shared to identify processes that lead to improved delivery of care and outcomes, and guide quality improvement…
Added 7 days ago
Site Reliability Engineer
CliftonLarsonAllen LLP
Milwaukee, WI · Connection Center-Charlotte, NC · Austin, TX · Hudson, WI
Lead troubleshooting and root-cause analysis for complex production incidents and implement corrective actions and automated recovery processes to reduce mean time to resolution (MTTR).
Added 7 days ago
Senior Systems Engineer - EO/IR Development Programs
BAE Systems
Huntsville, AL
Must have demonstrated experience as a Systems Engineer
Added 7 days ago
DevOps Engineer (Remote)
SmartSuite
Overland Park, KS
The opportunity to scale: lead SmartSuite's revenue organization at a pivotal stage, building the strategy, talent and infrastructure that will define our next chapter.
Added 7 days ago
A
Hardware Development
Apple
San Diego, CA
- $175,000 to $263,300 USD / year
…Firmware Engineering, Display Engineering and Process Engineering; Lead cross-functional integration discussions and EE coexistence assessments; Perform schematic capture of board, module,…
Added 7 days ago
IF
Data Science Instructor
INSTITUTE FOR ADVANCED LEARNING AND RESEARCH
Danville, VA
- $107,800 to $117,000 USD / year
Lead engaging instructor-led training through classroom, workshop, and hands-on learning experiences.
Added 7 days ago
Data Scientist
Numerator
Chicago, IL
…and have opportunities to deepen your technical expertise, lead projects, improve team practices, and shape how we…
Added 7 days ago
Life Actuarial Assistant (2027 New Grad Permanent - New York)
Munich Re Careers
New York, NY
…client-focused individuals who are looking to join a team that will lead them on the path towards a successful career in the insurance space. Note that the intent is that all rotations will…
Added 7 days ago
Network Development Engineer, Amazon Customer Service
Amazon.com Services LLC
Seattle, WA
…pick up longer-horizon programs, mentor newer engineers, or lead a cross-team initiative when something interests…
Added 7 days ago
Sr. Specialist, Manufacturing Engineering (Industrial Engineer)
L3Harris Technologies
Palm Bay, FL
Build automated dashboards and analytics tools (e.g., Python, SQL, Power BI) to improve visibility, decision-making, and real time performance tracking.
Added 7 days ago
Data Engineer
Tetrad Digital Integrity LLC
Springfield, VA
Lead the architecture, design, development, and operation of scalable data pipelines and ETL/ELT processes for analytics, reporting, and mission operations

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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Jobs in the United States