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Senior Full Stack Software Developer
CACI
Remote, United States
CACI is seeking a Senior-level Full-Stack Software Developer to join the CNRFC N6 Enterprise Application Support team, supporting U.S. Navy Reserve business systems. The contract covers…
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Assistant Payroll Manager
CACI
Oklahoma City, OK · Oklahoma City
…tools to improve payroll operations, research, documentation, data analysis, process design, knowledge management, or employee support while maintaining appropriate data-security and…
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Transmission Line Project Manager
HDR
Glen Allen, VA
…transmitted and delivered as global energy demands grow. From massive data centers to modernizing transmission systems, our industry-recognized engineers and scientists have been at the…
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Workday Systems Analyst Principal
The Children's Hospital of Philadelphia
United States
- $107,200 to $142,100 USD / year
…maintenance to support the lifecycle of the application. Recommends design enhancements and changes for complex systems. Required to mentor other staff and lead teams. Subject Matter Expert…
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AWS DevOps Engineer
Infosys
United States
…in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial…
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Senior Data Engineer -Python and AWS
Infosys
United States
The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging…
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Engineering Assistant (Intern) - Benchmarking
FEV North America Inc
Auburn Hills, MI
Support design, manufacturing and cost comparison assessments of advance powertrain and vehicle technologies in both the light-duty (automotive) and commercial vehicle space. Project…
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Project Quality Manager – Propulsion Systems
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Auburn Hills, MI
Support decision-making by providing data-driven quality insights and trade-off analysis to program leadership
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Benefits Program Manager - Retirement & ESPP (Hybrid)
AECOM
Los Angeles, CA
- $80,000 to $110,000 USD / year
Serve as the primary ESPP subject matter expert, owning plan administration, design recommendations, and participant experience.
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Benefits Program Manager - Retirement & ESPP (Hybrid)
AECOM
Dallas, TX
- $80,000 to $110,000 USD / year
Serve as the primary ESPP subject matter expert, owning plan administration, design recommendations, and participant experience.
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Benefits Program Manager - Retirement & ESPP (Hybrid)
AECOM
Atlanta, GA
- $80,000 to $110,000 USD / year
Serve as the primary ESPP subject matter expert, owning plan administration, design recommendations, and participant experience.
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Benefits Program Manager - Retirement & ESPP (Hybrid)
AECOM
Denver, CO
- $80,000 to $110,000 USD / year
Serve as the primary ESPP subject matter expert, owning plan administration, design recommendations, and participant experience.
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Benefits Program Manager - Retirement & ESPP (Hybrid)
AECOM
Conshohocken, PA
- $80,000 to $110,000 USD / year
Serve as the primary ESPP subject matter expert, owning plan administration, design recommendations, and participant experience.
Added 1 min ago
Sr. Mechanical Designer
Textron
Hunt Valley, MD
…experience in mechanical and specialized tooling/handling equipment design. The candidate should be comfortable as a cognizant designer of mechanical systems for military applications. .…
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Software Developer 3
Oracle
Austin, TX
Job Duties: Design, develop, troubleshoot and/or test/QA software. As a member of the software engineering division, apply knowledge of software architecture to perform tasks associated…
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Software Developer 4
Oracle
Burlington, MA
Job Duties: Design, develop, troubleshoot and/or test/QA software. As a member of the software engineering division, apply knowledge of software architecture to perform tasks associated…
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Director Technology - Integration Platform Engineering
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New York, NY · Boca Raton, FL · Boston, MA
Gen II's Data & Integration Platform (DIP) connects 40+ systems across our fund administration technology estate. The integration half is an AI-assisted integration factory - a repeatable…
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Staff Electrical E&C Project Manager - Power, Project Execution
Williams WPC-I, LLC.
United States
…cogeneration and behind-the-meter generation supporting industrial and data-center load, plant up rates and repowering, battery energy storage, and associated substation, switchyard, and…
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Sr. Systems Engineer – AI Gateway Platform(Remote)
CrowdStrike, Inc.
Remote, United States
Design and implement enterprise Identity and Access Management (IAM) controls for AI, including OAuth 2.0, Okta integrations, agent/non-human workload identities, and secure identity…
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Enterprise Systems Analyst I-III
Angelo State University
TX
…customer experience. Develops processes and applications for data and authentication integration. Facilitates and/or leads discussions with technical peers, vendors, and leadership teams to…
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Lead Software Engineer - Data Engineering & Platform
CAI Cox Automotive Corp Svcs., LLC
Dallas, TX
Are you passionate about data and technical leadership? Join Cox Automotive as a Lead Software Engineer! You'll lead the design and implementation of scalable data solutions, guide…
Added 2 mins ago
Knowledge Manager
Analytic Services Inc
El Segundo, CA
Consolidate information from multiple sources and transform complex or disparate data into clear, concise, and actionable products.
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(1119598) Electrical Test Technician
Diversified Services Network, Inc.
Peoria, IL
- $50,000 to $53,000 USD / year
Collaborate with Test Engineers on setup and data collection, Validation Engineers on test planning, and Design Engineers on product updates
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Copilot Studio Agent Engineer
Stefanini Group
Richmond, VA
We are seeking a Copilot Studio Agent Engineer to design, build, and operate declarative agents in Copilot Studio that orchestrate end to end workflows across ServiceNow and the Microsoft…
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Mid-Level Cloud Infrastructure Engineer - DoW
INNOVIM
Colorado Springs, CO · Huntsville, AL
- $110,000 to $140,000 USD / year
Design, plan and implement client-specific cloud solutions

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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