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analytics data engineer

data analytics engineer

data engineer

data engineer i is - remote Jobs in Seattle

data engineer i is - remote

software engineer developer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
This is an opportunity to join one of AWS's most foundational and high-impact engineering teams &mdash; the In-Memory datastore team, part of Amazon ElastiCache. We build the next-generation, high-performance in-memory distributed data storage platform that powers some of the world's most demanding real-time applications. Our work sits at the intersection of distributed systems, database internals, and cloud-scale infrastructure, and it directly shapes how millions of AWS customers build low-latency, high-throughput applications.<br>
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If you've ever found yourself deep in a conversation about CAP theorem, consistent hashing, Raft, Paxos, or gossip protocols &mdash; and you want to apply those ideas to real-world systems at massive scale &mdash; this team is where you belong. We are the engineers behind the acclaimed Amazon Dynamo paper, and we continue to push the boundaries of what NoSQL systems can do. We're not just building a cache; we're building a durable, highly available, and scalable in-memory database platform that bridges the best of RDBMS and NoSQL worlds.<br>
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Key job responsibilities<br>
As a Software Development Engineer on this team, you will take on broad ownership across the full lifecycle of our platform. Your core responsibilities will include:<br>
<br>
<ul><li>Designing and building the next-generation in-memory NoSQL database platform, enabling developers to create highly available, scalable, and high-performance applications at unprecedented scale.</li><li>Leading software development of large-scale distributed in-memory storage systems, primarily in Java and C/C++, leveraging open-source technologies such as Redis and Memcached alongside Amazon-proprietary technologies.</li><li>Developing and operating HTTP/REST services, asynchronous messaging systems, and event-driven architectures that form the backbone of our platform.</li><li>Building and improving real-time failure detection and auto-remediation systems capable of detecting node failures in large distributed clusters and initiating recovery within seconds.</li><li>Driving horizontal and vertical scaling capabilities, management and monitoring plane workflows, fault tolerance mechanisms, and backup and restore technologies.</li><li>Contributing to disaster recovery and prevention strategies to ensure the highest levels of availability and durability for our customers.</li><li>Mentoring and growing junior engineers on the team, serving as a technical leader and role model for engineering best practices.</li><li>Managing individual project priorities, deadlines, and deliverables with a high degree of autonomy and accountability.</li></ul><br>
A day in the life<br>
Day-to-day, you can expect a dynamic mix of deep technical work and collaborative engineering. A typical week might look like:<br>
<br>
Writing and reviewing production-quality code in Java or C/C++ for distributed storage components, scaling systems for monitoring plane owned services.<br>
Participating in design reviews and architecture discussions, where you'll debate tradeoffs around consistency, availability, and partition tolerance &mdash; and then go build the solution.<br>
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Collaborating with peer engineers across the team to debug complex distributed systems issues, analyze failure patterns, and drive root cause analysis.<br>
Working closely with the monitoring plane and operations team to improve observability, tune auto-remediation workflows, and reduce mean time to recovery.<br>
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Engaging with product and customer service teams to understand real-world use cases &mdash; from IoT and mobile applications to large-scale analytics &mdash; and translating those needs into platform capabilities.<br>
Mentoring junior engineers through code reviews, design feedback, and pairing sessions, helping them grow their technical skills and Amazon engineering judgment.<br>
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Contributing to the team's operational excellence by participating in on-call rotations and driving improvements to system reliability and operational tooling.<br>
<br>
About the team<br>
The In-Memory Storage Platform team is a passionate group of engineers who thrive on solving hard distributed systems problems. We are a collaborative, intellectually curious team that values technical depth, ownership, and a bias for action. Our charter is Amazon ElastiCache &mdash; an AWS service that enables customers to deploy, manage, and massively scale in-memory distributed data stores using open-source technologies like Redis and Memcached.<br>
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Our customers include some of the world's fastest-growing startups and enterprises, all relying on ElastiCache to build ultra-low-latency, high-throughput data layers. We are deeply invested in open-source software and actively contribute to the broader NoSQL ecosystem. As a team, we believe in growing together &mdash; senior engineers are directly involved in mentoring and developing junior engineers, and we take pride in building a culture of technical excellence and continuous learning.<br>
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About AWS
<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS? Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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Inclusive Team Culture Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
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Mentorship &amp; Career Growth We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, ElastiCache

Software Engineer, Machine Learning

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Alexa+ is Amazon's next-generation AI-powered personal assistant, built on large language models to deliver natural, conversational, and context-aware experiences for hundreds of millions of customers worldwide. We are building new services and experiences for Alexa+ customers from the ground up, and we're looking for experienced, generative AI-savvy Software Development Engineers to join us.<br>
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In this role, you will design, build, and operate Tier-1 cloud services that enable real-time experiences with hundreds of millions of devices and customers. You'll partner with engineers across Alexa+ to tackle complex technical challenges, drive innovation, and deliver experiences that redefine what a personal assistant can do.<br>
<br>
Why You'll Love It Here<br>
<ul><li>Unprecedented technical challenges: You'll work on problems at a scale and complexity few teams encounter. We don't just build AI products; we use generative AI extensively in our own engineering practices, keeping you at the forefront of the field.</li><li>Motivated, collaborative team: Join a team of passionate engineers who support each other, share knowledge freely, and celebrate wins together.</li><li>Greenfield opportunity: We're building from the ground up, giving you the chance to shape architecture, tooling, and culture from day one.</li><li>World-changing impact: Your work will directly shape how hundreds of millions of customers interact with their personal assistant every day.</li></ul><br>
Key job responsibilities<br>
<ul><li>Design and implement highly available, scalable cloud services in Rust and Java</li><li>Build and operate Tier-1 services at massive scale</li><li>Solve novel and complex distributed systems challenges &mdash; from low-latency communication to fault-tolerant architectures</li><li>Leverage generative AI extensively in your day-to-day development workflow to accelerate delivery and improve code quality</li><li>Collaborate with cross-functional engineering teams across Alexa+ to define technical direction and deliver customer-facing features</li><li>Contribute to a culture of operational excellence, including on-call support, monitoring, and continuous improvement</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, Alexa Connected Devices

TikTok

<div></div><div><div>Seattle
<div></div>Regular
<div></div>R&amp;D
<div></div>Job ID: A23042
</div><div>Responsibilities</div>
<div>About the Team: We are the TikTok E-commerce AI Platform team (USDS). Our mission is to build the one-stop AI platform that allows different business domains to fully realize the potential of LLM and AI Agents. We are providing business-centric and user-friendly platform that covers from model training, model service managements, MCP/Skills/Tools integration, and AI orchestration, and business applications. Our visions are maximizing end-to-end AI application development efficiency and ultimately enabling e-commerce business to achieve self-evolving AI native goal. Responsibilities: - System Architecture &amp; Implementation: Lead the design, implementation, and operation of AI platforms that can provide robust performance and flexible business integration solutions. - Cross-Functional Collaboration: Partner effectively across various teams, organizations, and internal/external stakeholders to drive complex engineering efforts and align technical strategies. - Innovation: Drive technical innovation by identifying and integrating emerging technologies and novel ideas to keep our infrastructure at the cutting edge.</div>
<div>Qualifications</div>
<div>Minimum Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related technical discipline. - 1+ years of hands-on experience building, training, and deploying complex and scalable Machine Learning systems. - Strong foundation in Computer Science, including algorithms, data structures, and software design patterns. Excellent problem-solving abilities. - Solid programming skills with a strong understanding of Agentic AI and AI platforms like ChatBot, Rag, A2A protocols, etc. - Proven experience in managing technical projects and delivering results. Preferred Qualifications: - In-depth experience with Agentic AI and related sub-systems (e.g., Rag, AutoPrompt). - Deep understanding of the full LLM training and serving process.</div>
<div>Job Information</div>
<div><div>【For Pay Transparency】Compensation Description (Annually)<div><br>
<div><p>The base salary range for this position in the selected city is $129960 - $246240 annually.<br>
</p><p>Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.<br>
</p><p>Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).<br>
</p><p>The Company reserves the right to modify or change these benefits programs at any time, with or without notice.<br>
</p><p>For Los Angeles County (unincorporated) Candidates:<br>
</p><p>Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:<br>
</p><p>1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;<br>
</p><p>2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and<br>
</p><p>3. Exercising sound judgment.<br>
</p></div></div></div><div>About USDS<div><br>
<div><p>TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.<br>
</p><p></p><p>On-site presence across teams allows the company to operate with greater speed, alignment, and agility &mdash; especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.<br>
</p></div></div></div><div>Why Join Us<div><br>
<div><p>Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.<br>
</p><p>We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an &quot;Always Day 1&quot; mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br>
</p><p></p><p>Diversity &amp; Inclusion<br>
</p><p>TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.<br>
</p></div></div></div><div>USDS Reasonable Accommodation<div><br>
<div><p>USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA</p></div></div></div></div></div><p></p>

Software Engineer, E-Commerce AI Platform - USDS

GEICO

<div><p><b>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.</b></p><p><b>
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.</b></p><p></p><p><b>
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.</b></p><p></p><p><b>
Position Summary
</b></p><p>GEICO is seeking an experienced Senior Data Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission. Within the Data Analytics and Vertical Engineering team, you will play a key role in leveraging modern technologies to enhance our data capabilities, while championing innovation, best practices, and continuous learning.</p><p></p><p><b>
Position Description</b></p><p>
As a Senior Data Engineer, you will work to build and maintain robust data systems that power a state-of-the-art analytics platform. Our team thrives and succeeds in delivering high-quality data solutions in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from data pipeline development and data transformation to data storage and processing optimization.</p><p></p><p><b>
Position Responsibilities</b></p><p>
As a Senior Engineer, you will:</p><ul><li>
Scope, design, and build scalable, resilient distributed systems</li></ul><ul><li>
Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services</li><li>
Use your technical expertise to shape product definitions and drive towards optimal solutions</li><li>
Engage in cross-functional collaboration throughout the entire development lifecycle</li></ul><ul><li>
Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization</li><li>
Define, create, and support reusable data components and patterns that align with both business and technology requirements</li><li>
Build a world-class analytics platform to satisfy reporting needs</li><li>
Mentor other engineers</li><li>
Consistently share best practices and improve processes within and across teams</li></ul><p></p><p><b>
Qualifications</b></p><ul><li>
Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes)</li><li>
Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus</li><li>
Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines</li></ul><ul><li>
Experience with business intelligence tools (Power BI or Superset preferred)</li><li>
Proven understanding of microservices oriented architecture and REST APIs and GraphQL</li><li>
Experience architecting and designing new and current systems</li><li>
Advanced understanding of DevOps concepts including Azure DevOps framework and tools</li><li>
Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions</li><li>
Advanced PowerShell scripting skills</li><li>
Advanced understanding of monitoring concepts and tooling</li><li>
Advanced understanding of security protocols and products</li><li>
In-depth knowledge of CS data structures and algorithms</li><li>
Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication)</li><li>
Strong problem-solving ability</li><li>
Ability to excel in a fast-paced environment</li></ul><p></p><p><b>
 Experience</b></p><ul><li>
4+ years of professional experience in data engineering, programming languages and developing with big data technologies</li><li>
3+ years of experience with architecture and design</li><li>
3+ years of experience with AWS, GCP, Azure, or another cloud service</li><li>
2+ years of experience in Big-data tools like Spark and Databricks</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or equivalent education or work experience</li></ul><p></p><p><b><br>
Annual Salary</b></p>
$80,000.00 - $215,000.00<p>
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations.</p><br>
<p></p>
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.<p></p><p><b><br>
The GEICO Pledge:</b></p><p></p><p><b>
Great Company:</b> At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.</p><p>
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.</p><p></p><p><b>
Great Careers:</b> We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.</p><p></p><p><b>
Great Culture:</b> We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.</p><p>
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.</p><p></p><p><b>
Great Rewards:</b> We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.</p><ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul><p></p><p>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.</p><p></p><p>
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</p></div>

Senior Engineer - Data

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Want to help drive the success of Machine Learning technologies at AWS? We seek a Software Development Engineer II for the ML Infrastructure team to build the platforms that guarantee top performance of AWS ML and HPC technologies. Our performance data directly influences launch<br>
decisions for new EC2 instance types and has visibility at senior leadership.<br>
<br>
Join us as we expand the AWS offerings for AI, including Trainium, Neuron and the Elastic Fabric Adapter (EFA). You'll build CI/CD systems, orchestrate GPU clusters, create performance dashboards, and develop AI-powered automation - all to ensure latest ML networking software ships with confidence.<br>
<br>
Key job responsibilities<br>
Build and maintain infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale across multiple GPU instance types. Use Jenkins, internal Amazon CI/CD tools, Linux, and public AWS products to automate testing and delivery of ML networking libraries - including collective communication frameworks, network transport layers, and GPU communication libraries. Write Python code that orchestrates large clusters, runs benchmarks and ML applications across a matrix of instance types, operating systems, and<br>
software stack versions. Use AWS Managed Grafana and Athena to digest performance data and build dashboards that catch functional and performance regressions before they reach customers. Build automation using LLMs to analyze test failures and surface actionable insights to developers. Contribute to cross-team readiness for new instance type launches by delivering performance data that shapes go/no-go decisions. Manage the complexity of infrastructure covering many instance types, software stacks, Linux operating systems, and latest releases
<br>
and make it easy to evolve.<br>
<br>
A day in the life<br>
You write Python to orchestrate test workloads across large GPU clusters and TypeScript with CDK to ensure all infrastructure is code, reviewed and committed to automated pipelines. You manage shared development clusters using SLURM and AWS ParallelCluster, supporting multiple teams while keeping costs down. You build automation that analyzes nightly test results and surfaces regressions to developers. You write crisp designs for your projects, communicating clearly to your peers what you will build and why.<br>
<br>
About the team<br>
We are part of Annapurna Labs, a subsidiary in AWS that builds software and hardware that make ML on EC2 work. Our organization is a dedicated group of innovators that have invented new networks, new silicon, new software suites, and combined those to entice customers to move immense ML and HPC workloads to the cloud. The ML Infrastructure team is laser focused on making AWS the best and most cost-effective place for customers to do AI at scale. Our work directly enables the launch of new GPU instance types.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience working with Linux</li><li>Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS</li><li>Experience coding in Python</li><li>Experience with TypeScript and AWS CDK for infrastructure as code</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually<br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, ML Infrastructure Team

Amazon

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 WW Pricing drives the success of Amazon Retail and 3P Pricing. We build software that makes billions of monthly pricing recommendations on our marketplaces. We earn our customers' trust by consistently delivering the lowest prices possible: we price and publish prices automatically for the millions of products bought worldwide every day by our customers.
 <br/>
 <br/>
 You will be joining WW Pricing Data &amp; Analytics team which consists of several Data Engineers and Business Intelligence Engineers.
 <br/>
 <br/>
 As a Data Engineer, you will create data models and ML data infrastructure that power our pricing algorithms and shape both customer and seller experiences. You'll develop essential data flows that keep our systems running smoothly while uncovering valuable insights that drive customer and seller success. You'll be developing GenAI based solutions to improve the operational and reporting efficiency.
 <br/>
 <br/>
 This job is for you if you are passionate about working with the largest and most complex data to optimize service performance. You will own the models and processes for collecting and transforming data, and work within the Pricing software engineering teams to drive the resulting business initiatives. You will learn the customer's intentions, and support us in understanding them as we take our business to the next level.
 <br/>
 <br/>
 Key job responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Architecture design and implementation of next generation data pipelines and BI solutions
  </li>
  <li>
   Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
  </li>
  <li>
   Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
  </li>
  <li>
   Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
  </li>
  <li>
   Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of data engineering experience
  </li>
  <li>
   1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
  </li>
  <li>
   1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
  </li>
  <li>
   1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
  </li>
  <li>
   1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
  </li>
  <li>
   1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
  </li>
  <li>
   Experience with data modeling, warehousing and building ETL pipelines
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
  </li>
  <li>
   Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
   <br/>
   <br/>
  </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 <br/>
 <br/>
 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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 <br/>
 <br/>
 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 &amp; AD&amp;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.
 <br/>
 <br/>
 USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually
 <br/>
 <br/>
 <br/>
 <strong>
  Company
 </strong>
 - Amazon.com Services LLC
 <br/>
 <br/>
 Job ID: A10433467
</div>


Data Engineer, WW Pricing - Data & Analytics

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