AWS

AWS Engineer Jobs

134 jobs found

Today

Lead Applied AI Engineer II

Deloitte Honolulu, HI

Honolulu, HI

Today

$119k - $244k/yr Full time Artificial Intelligence AWS Aws Bedrock

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Job Description

Hands-on Lead Applied AI Engineer delivering AI-enabled software solutions on high-visibility Deloitte projects from onsite in Honolulu, HI, with technical leadership and cross-functional collaboration.

Responsibilities

Accountability for customer and business outcomes; design lean, high-quality engineering solutions that solve complex problems and deliver tangible value.
Technical leadership and advocacy for products; ensure code integrity and alignment with business goals; lead requirements analysis, low-level architecture and component design, development, testing, integrations, and support.
Engineering craftsmanship; maintain architecture and stack integrity to enterprise standards; manage dependencies, code design, implementation quality, data handling, and ongoing maintenance and operations; stay hands-on and continuously learn new approaches, languages, and frameworks; create technical specifications and produce high-quality, maintainable code; review peers and mentor them to uphold quality.
Customer-centric engineering; develop lean solutions through rapid, inexpensive experiments and engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
Incremental and iterative delivery; embrace action and evidence over extensive planning; navigate complexity with a forward-leaning approach to deliver lean, supported, and maintainable solutions.
Cross-functional collaboration and integration; work with product management, experience, and delivery teams; integrate diverse perspectives to balance feasibility, viability, usability, and value; foster a collaborative environment that spurs innovation.
Advanced technical proficiency; demonstrate deep expertise in modern software engineering practices, including AI and agentic SDLC, enabling daily product deployments with full automation from discovery to production to operations and quality checks throughout the lifecycle.
Domain expertise; rapidly acquire domain knowledge relevant to the business or product; translate business needs, architectures, and UX/UI designs into technical specifications and code; be a reliable, quality-focused teammate who supports others and pays down tech debt.
Effective communication and influence; articulate complex technical concepts clearly and persuasively; build evidence-backed trade-offs and narratives that align technical solutions with business objectives.
Engagement and collaborative co-creation; collaborate with product engineering teams at all levels and with customers as needed; cultivate constructive relationships and drive consensus toward feasible solutions.

Requirements

Excellent interpersonal and organizational skills; able to manage diverse situations, complex projects, and shifting priorities with empathy and care.
Bachelor's degree in computer science, software engineering, data science, machine learning, or a related discipline; experience is a key factor.
6+ years of experience across most of the following: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, plus unit testing frameworks.
3+ years building AI/ML applications with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, and vector databases.
3+ years cloud-native engineering using FaaS, PaaS, or microservices on Azure, AWS, or GCP, including AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI.
1+ years establishing engineering standards, including actively leading and mentoring team members in adoption and continuous improvement.
Prior software engineering experience with Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, code instrumentation, and AI augmented spec-driven development.
Experience with XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow and agentic AI frameworks (eg, LangFuse, LangSmith, or equivalent multi-agent orchestration tools) to deliver high-quality products rapidly.

Technologies

Angular
React
NodeJS
Python
C#
.NET
Java
SQL/NoSQL
PyTorch
TensorFlow
LangChain
LangGraph
OpenAI
Anthropic
LangFuse
LangSmith
MLflow
Azure
AWS
GCP
Vertex AI
Azure OpenAI
AWS Bedrock

Benefits

Discretionary annual incentive program

Other

Ability to travel approximately 10 percent on average based on the work and products you build.
Limited immigration sponsorship may be available.

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Today

AI Platform Data Engineer, Ring Agent Platform Org

Amazon.com Services LLC Hawthorne, CA

Hawthorne, CA

Today

$132k - $179k/yr Full time Analytics Artificial Intelligence AWS

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Job Description

Amazon’s Ring Agent Platform is seeking an AI Platform Data Engineer to design and operate scalable data infrastructure that underpins subscription lifecycle analytics, monitors service performance, and enables self-service reporting. This onsite role in Hawthorne, CA offers a salary range of USD 132,100 to 178,800 per year and requires a Master’s degree with at least three years of data engineering experience. You will collaborate with teams across Subscription, Finance, and Monitoring Services to translate needs into data capabilities and ensure governance and security.

Responsibilities

Build and maintain efficient, scalable data pipelines that respect privacy and security, curate datasets for AI/ML use, and support AI-native self-service data platforms.
Partner with stakeholders across Subscription, Finance, and Monitoring Services to gather requirements and deliver data solutions.
Create and maintain curated datasets that support agent-focused analysis of customer lifecycles, churn signals, and service health metrics.
Develop and operate data pipelines using AWS services and internal Amazon tools, incorporating automation to improve efficiency.
Contribute to self-service data platforms enabling stakeholders to access and explore subscription and monitoring data.
Implement data governance components including data classification, PII detection, and lineage tracking.
Lead and participate in collaborative sessions that help stakeholders understand and adopt data capabilities.

Requirements

Three or more years of data engineering experience.
Experience with SQL.
Experience with data modeling, data warehousing, and building ETL pipelines.
Experience building and operating highly available distributed systems for extracting, ingesting, and processing large data sets.
Experience developing, deploying, and managing AI products at scale.
Master's degree.

Technologies

SQL
Redshift
S3
AWS Glue
EMR
Kinesis
Firehose
Lambda
IAM
QuickSight
Tableau
Power BI
internal Amazon tools
AWS services

Benefits

Health insurance covering medical, dental, vision, and prescription needs
401(k) with company matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)
Life insurance including Basic Life and AD&D with optional supplemental plans
Employee Assistance Program (EAP)
Mental health support
Flexible Spending Accounts
Adoption and surrogacy reimbursement coverage
Medical Advice Line

About the Team

The Agent Platform Organization sits at the forefront of Ring's move toward an AI powered operating model. The team pioneers cross-organizational data models, builds governance frameworks, delivers Business Intelligence support across multiple groups, and creates both customer-facing and internal tools that accelerate and improve decision making across the company.

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Today

Big Data Engineer II

Amazon Web Services, Inc. Dallas, TX

Dallas, TX

Today

$132k - $179k/yr Full time Amazon Emr Amazon Web Services Artificial Intelligence

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Job Description

Architect scalable big data solutions for AWS revenue data products by building data pipelines and AI driven automation, while mentoring engineers and translating business needs into technical solutions.

Responsibilities

Advance the Revenue technology stack to scale with AWS growth, ensuring compliance with security policies, architectural standards, and operational best practices
Design and implement end to end data pipelines that convert raw data from diverse upstream sources into actionable insights for quota management, forecasting, and compensation decisions
Create frameworks, tools, and AI powered solutions that automate manual processes, reduce operational overhead, and accelerate time to insight for Revenue customers
Build and maintain dimensional data models and structures that enable self service analytics and support evolving reporting needs across Finance, Sales Operations, and Analytics
Mentor a team of data engineers to deliver cross functional solutions, foster technical growth, and uphold engineering excellence standards
Architect and optimize Revenue data infrastructure to ensure enterprise grade security, cost efficiency, and scalability while processing billions of daily transactions across 20 plus data sources
Collaborate with product managers, stakeholders, and customers to translate business requirements into technical solutions

Requirements

3+ years of data engineering experience
3+ years of developing and operating large scale data structures for business intelligence analytics using ETL/ELT processes
3+ years of developing and operating large scale data structures for business intelligence analytics using SQL
Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related fields, or 3+ years of professional software development experience
Experience in at least one object oriented programming language (e.g., JavaScript, Python, C#)

Technologies

JavaScript
Python
C#
SQL
Amazon Redshift
AWS S3
AWS Glue
AWS EMR
AWS Kinesis
AWS Firehose
AWS Lambda
AWS IAM
Hadoop
Hive
Spark

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign on payments
Restricted stock units (RSUs)

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Today

Machine Learning Engineer

Amazon.com Services LLC Seattle, WA

Seattle, WA

Today

$144k - $194k/yr Full time Ai Ml Amazon Web Services AWS

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Job Description

Join Amazon Ads as a Machine Learning Engineer to help design and operate near real time ML systems and supporting infrastructure that drive ad relevance and real time personalization across Amazon surfaces.

Location

Seattle, WA (onsite)

Compensation

USD 143,700 - 194,400 per year

Responsibilities

Design, implement, and operate near real-time data ingestion pipelines using Apache Flink, Kinesis, and DynamoDB to process shopper behavioral signals at scale, targeting 100K+ transactions per second with sub-second latency
Develop and maintain ML feature generation services that transform raw customer interactions into ML-ready signals used by prediction models across Amazon Ads
Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems
Build and improve data quality monitoring frameworks, automated alerting, and self-healing mechanisms to ensure signal reliability at 99.9%+ availability
Collaborate with applied scientists and partner engineering teams to onboard new shopper signals, define feature schemas, and optimize serving latency for real-time ad personalization
Contribute to system design discussions, propose technical solutions for ambiguous problems, and drive end-to-end implementation with guidance from senior engineers

Requirements

2+ years of professional software development experience (non-internship)
Experience programming with at least one software programming language
2+ years of design or architecture experience for new and existing systems
Experience in machine learning, data mining, information retrieval, statistics or natural language processing
Bachelor's degree in computer science or equivalent
2+ years of full software development life cycle experience, including coding standards, code reviews, source control, build processes, testing, and operations

Technologies

Apache Flink
Kinesis
DynamoDB

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance
401(k) matching
Paid time off
Parental leave
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
Employee Assistance Program (EAP)
Mental Health Support
Medical Advice Line
Basic Life and AD&D insurance
Supplemental life plans

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1d ago

Data Engineer II

Amazon.com Services LLC Seattle, WA

Seattle, WA

1d ago

$132k - $179k/yr Full time Amazon Emr Amazon Web Services Apache Airflow

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Job Description

Amazon Security offers a collaborative, security‑focused data environment with a global footprint. The Data Engineer II role sits at the heart of Veritas, a foundational service that provides data for security reviews, threat modeling, and incident response. You will build scalable data infrastructure and high‑quality pipelines inside a large data lake that leverages AWS data services and AI enabled data objects. This onsite, Seattle position comes with a competitive annual salary between USD 132,100 and 178,800, plus a comprehensive benefits package and opportunities to contribute to security initiatives across more than ten countries within the AmSec organization.

Responsibilities

Develop and influence the team’s data strategy and storage roadmap through close collaboration with partners
Lead designs for data governance, define data schemas, and build tools that enable efficient data sharing with customers while meeting strict confidentiality guidelines
Improve data quality and operations through automation and end-to-end CI/CD data pipelines
Adopt best practices in data integrity, modeling, testing, validation, and documentation
Construct end-to-end data pipelines to ingest and transform data from diverse sources and systems
Leverage AI and LLM capabilities to automate manual and repetitive data engineering tasks
Evaluate and implement big data technologies (such as Redshift, Iceberg, Hive/EMR, Spark, SNS, SQS) to optimize processing of very large datasets
Analyze business processes, logical data models, and relational database implementations
Write high‑performing, optimized SQL queries

Requirements

4+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
4+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, or similar technologies
Working knowledge of professional software engineering practices across the full software development lifecycle, including coding standards, architecture, code reviews, source control, continuous deployment, testing, and operational excellence

Technologies

Amazon EMR, AWS Glue, Amazon Athena, Amazon Redshift, Amazon S3
Amazon SNS, Amazon SQS, Apache Airflow, Iceberg, Hive, Spark
SQL, AI/LLM capabilities integrated into data workflows

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)
Employee Assistance Program (EAP)
Mental health support
Medical Advice Line
Flexible Spending Accounts
Adoption and surrogacy reimbursement coverage

Description

Amazon Security (AmSec) seeks a Data Engineer II to join a team dedicated to resource and application discovery within Amazon security. The Veritas product provides essential data for security initiatives such as reviews, threat modeling, detection, access control, and incident response. You will be part of an AmSec organization with a global presence spanning more than ten countries, contributing to scalable security data platforms and cross‑border collaboration.

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1d ago

Data Engineer, AWS Support S&O - ESSO - Strategy, Planning & Inspection (SPI)

Amazon Web Services, Inc. Pittsburgh, PA

Pittsburgh, PA

1d ago

$132k - $179k/yr Full time Amazon Quicksight Amazon Web Services AWS

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Job Description

The Data Engineer supporting AWS Enterprise Support Strategy and Operations designs and maintains analytics infrastructure to enable key metrics, dashboards, and data-driven decisions. The role collaborates with data scientists and BI engineers, leveraging SQL, Redshift and Quicksights to deliver actionable insights across SPI operations.

Overview

Within the Strategy, Planning and Inspection group, the Data Engineer builds scalable data architectures, develops and sustains data pipelines, and curates dashboards that inform strategic and operational decisions. The position emphasizes SQL driven analytics using Redshift and Quicksights, with a strong focus on collaborating with Data Scientists and BI Engineers to promote best practices in reporting and analysis.

Location

Pittsburgh, PA (onsite)

Salary

USD 132,100 - 178,800 per yearly

Responsibilities

Architect, implement, and maintain an analytics data platform to support reporting and analysis.
Administer AWS services such as EC2, EMR, S3, Glue, Redshift, and related infrastructure.
Collaborate with cross-functional technology teams to extract, transform, and load data from diverse sources using SQL and AWS big data technologies.
Continuously explore new AWS technologies to introduce capabilities and improve efficiency.
Partner with Data Scientists and BI Engineers to identify and promote best practices in reporting and analytics.
Enhance ongoing reporting and analytics workflows, automating or simplifying self-service options for customers.

Requirements

Bachelor's degree.
Experience as a data engineer or related role (eg software engineer, BI engineer, data scientist) with a track record of manipulating, processing, and deriving value from large datasets.
3+ years developing and operating large-scale data structures for business intelligence analytics using SQL.
Experience providing technical leadership and mentoring other engineers on data engineering best practices.
Experience building and operating highly available, distributed systems for data extraction, ingestion, and processing of large data sets.
Experience with data modeling, warehousing, and ETL pipeline development.

Technologies

SQL
Redshift
Quicksights
EC2
EMR
S3
Glue
Kinesis
FireHose
Lambda
IAM

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

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1d ago

Data Engineer II, Intelligent Talent Acquisition (ITA) - Data

Amazon.com Services LLC Seattle, WA

Seattle, WA

1d ago

$132k - $179k/yr Full time Amazon Emr Amazon Web Services Analytics

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Job Description

This Data Engineer II position supports Amazon's Intelligent Talent Acquisition Data team, focusing on designing, implementing, and maintaining scalable data infrastructure and pipelines to enable ITA operations. The role is onsite in Seattle, WA, with a yearly salary range of USD 132,100 to 178,800.

Responsibilities

Design, implement, and support a platform providing secured access to large datasets.
Architect, develop, and maintain end-to-end scalable data infrastructure and data pipelines.
Develop the team's data strategy and technical roadmap for data storage and pipeline design and implementation.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, scripting, and AWS big data technologies.
Design and implement complex ETL pipelines and other BI solutions.
Work closely with business owners, developers, and Business Intelligence Engineers to explore new data sources and deliver the data.
Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with increased data volume using AWS.
Empower the team for self-servicing by providing the necessary skills to handle complex tasks independently.
Ensure that the team can efficiently manage and troubleshoot data-related issues, leading to increased autonomy and productivity, along with fostering a culture of self-reliance.