applied scientist, prime video - content localization, understanding & enrichment

civil engineer – data centers & industrial facilities

data engineer

data scientist, product analytics Jobs in Seattle

data scientist, product analytics

applied scientist, prime video - content localization, understanding & enrichment Jobs in Seattle

aws data engineer

civil engineer – data centers & industrial facilities Jobs in Seattle

data engineer content and data platform

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Prime Video is disrupting the traditional television and movie industry with a massive library of high-quality media and reliable digital delivery. Our services are engineered for high availability, maximum reach, and cost savings we can pass on to customers. We enable the world to watch video instantly, from any device, whether on the road or from the comfort of a living room sofa.
 
 
Prime Video's Catalog &amp; Data Platform (CDP) is the authoritative source of truth for every title available to hundreds of millions of customers across 249 territories &mdash; across Subscription and TransActional VOD, Channels, Linear, Live Sports and beyond. We drive the full content supply chain: from content and rights ingestion and processing, through product and offer distribution to every PV surface (Browse, Search, Fire TV, Web, Mobile, 3P Living Room devices, Google, Apple and other affiliates). 
We are hiring an DE-II to help build the next generation of our Distribution platform. You will design and deliver systems that process billions of content requests and catalog queries daily, and ensure every customer in every territory sees the right content with the right offer at the right time. Your work directly impacts whether a customer in Mumbai can watch the latest season of a show, whether a partner in Tokyo can launch content across territories simultaneously, and whether Prime Video's storefront renders the correct experience for 100s of millions of active streamers worldwide. 
 
The systems you will design and build are high performance distributed systems capable of enabling the growth of Prime Video global business. Innovation is key on this team and we are looking for technically savvy individuals with the ability to think big &amp; deliver simple solutions to complex problems. 
 
At Amazon, every employee has the opportunity to positively impact millions of customers, and you will be called on to identify and realize these opportunities. Our team works end-to-end through the Video platform, and our team members have direct ownership of the customer experience.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with SQL</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><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)</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. 
 
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. 
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. 
USA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, Content And Data Platform

Shannon & Wilson

<div>
 Job Type
 
 
 Full-time
 
 
 
 Description
 
 
 
 Shannon &amp; Wilson is a leading geotechnical engineering firm dedicated to delivering innovative solutions in infrastructure, transportation, and environmental projects. As part of our digital transformation journey, we are investing in modern data platforms and analytics capabilities to support better decision-making and operational excellence.
 
 
 
 Job Summary
 
 
 
 We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our engineers, supporting staff, and leadership have reliable, trusted access to data for project delivery, reporting, and strategic insights.
 
 
 
 Responsibilities
 
 
 
 
 Platform Operations &amp; Maintenance
 
 
 
 <ul>
 <li>
 Administer and monitor Microsoft Fabric (or Azure Synapse/Lakehouse), Azure SQL Databases, and Power BI workspaces.
 </li>
 <li>
 Ensure data pipelines, notebooks, and scheduled refreshes run reliably and on time.
 </li>
 <li>
 Implement monitoring, alerting, and cost optimization strategies for the platform.
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Integration
 
 
 
 <ul>
 <li>
 Build, maintain, and optimize ingestion pipelines from internal systems (ERP, project management software) and external data sources.
 </li>
 <li>
 Design and maintain clean, curated data models to support reporting and analytics needs.
 </li>
 <li>
 Collaborate with business analysts to ensure data structures meet business requirements.
 
 
 </li>
 </ul>
 
 Governance &amp; Security
 
 
 
 <ul>
 <li>
 Apply data governance standards for naming conventions, schema design, and access control.
 </li>
 <li>
 Work with IT to enforce security policies, manage permissions, and ensure compliance with client and regulatory requirements.
 
 
 </li>
 </ul>
 
 Continuous Improvement
 
 
 
 <ul>
 <li>
 Stay current with Microsoft&rsquo;s data platform capabilities (Fabric, Power BI, Azure Data Factory, etc.).
 </li>
 <li>
 Recommend new features, automation, or process improvements to enhance reliability and usability.
 </li>
 <li>
 Partner with stakeholders to identify and implement new use cases for analytics and reporting.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related field (or equivalent experience).
 </li>
 <li>
 Must have 3+ years of experience with Microsoft data stack (Azure SQL Database, Azure Data Factory, Synapse, Power BI, or Fabric).
 </li>
 <li>
 Strong SQL development skills and experience with data modeling (star/snowflake schema) required.
 </li>
 <li>
 Hands-on experience with ETL/ELT pipelines and automation scheduling required.
 </li>
 <li>
 Familiarity with cloud-based data security and access control practices.
 </li>
 <li>
 Experience with Microsoft Fabric Lakehouse and Mirrored Databases preferred.
 </li>
 <li>
 Familiarity with engineering or construction industry data (projects, cost, schedule) preferred.
 </li>
 <li>
 Python or Spark experience for data transformation preferred.
 </li>
 <li>
 Knowledge of DevOps/Git-based version control for data pipelines preferred.
 </li>
 <li>
 Strong collaboration skills &ndash; able to work with project managers, analysts, and IT staff.
 </li>
 <li>
 Excellent troubleshooting and problem-solving skills.
 </li>
 <li>
 Continuous improvement mindset with willingness to learn and adopt new technologies.
 </li>
 <li>
 Clear communication skills (both technical and business-oriented).
 
 
 </li>
 </ul>
 
 Level Placement
 
 
 
 Typically, depending on an applicant&rsquo;s education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, an Entry-Level Data Engineer typically would be placed at a Shannon &amp; Wilson Professional I, II, III, or IV level with annual compensation ranging from $90,000 - $120,000.
 
 
 Shannon &amp; Wilson is committed to providing a comprehensive total rewards package that includes the following benefits:
 
 
 <ul>
 <li>
 Employee stock ownership
 </li>
 <li>
 Medical, prescription, vision, dental, long-term care and life insurance plans are offered to employees (and their families).
 </li>
 <li>
 Pre-tax health and daycare FSA
 </li>
 <li>
 Profit sharing and 401(k) plans with annual safe-harbor contributions
 </li>
 <li>
 10 - 20 paid vacation days per year for full-time employees, based on years of experience (prorated for part-time employment)
 </li>
 <li>
 Sick leave accrues based on state requirements
 </li>
 <li>
 9 paid holidays per year + 1 personal holiday
 </li>
 <li>
 Paid volunteer day
 </li>
 <li>
 Paid time off for bereavement and jury duty
 </li>
 <li>
 Two weeks of paid parental leave
 </li>
 <li>
 Lunch &amp; Live wellness webinars and an Employee Assistance Program
 </li>
 <li>
 Mentorship Program
 </li>
 <li>
 Tuition Reimbursement
 </li>
 <li>
 Free parking
 
 
 </li>
 </ul>
 
 Shannon &amp; Wilson is an Equal Opportunity Employer
 
 
 
 
 Shannon &amp; Wilson participates in the E-Verify program.
 
 
 
 
 Please note that non-solicited resumes from external recruitment agencies will not be considered as introductions to our business, unless a preapproved agreement is in place and the external recruitment agency has been engaged to work on this specific vacancy.
 
 
 
 Salary Description
 
 
 $90,000 - $120,000 per year
</div>

Data Engineer

Shannon & Wilson Inc.

<div>Description:

Shannon &amp; Wilson is a leading geotechnical engineering firm dedicated to delivering innovative solutions in infrastructure, transportation, and environmental projects. As part of our digital transformation journey, we are investing in modern data platforms and analytics capabilities to support better decision-making and operational excellence.
Job Summary:
We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our engineers, supporting staff, and leadership have reliable, trusted access to data for project delivery, reporting, and strategic insights.
Responsibilities:
 Platform Operations &amp; Maintenance<ul><li>Administer and monitor Microsoft Fabric (or Azure Synapse/Lakehouse), Azure SQL Databases, and Power BI workspaces.</li><li>Ensure data pipelines, notebooks, and scheduled refreshes run reliably and on time.</li><li>Implement monitoring, alerting, and cost optimization strategies for the platform.</li></ul>
 Data Engineering &amp; Integration<ul><li>Build, maintain, and optimize ingestion pipelines from internal systems (ERP, project management software) and external data sources.</li><li>Design and maintain clean, curated data models to support reporting and analytics needs.</li><li>Collaborate with business analysts to ensure data structures meet business requirements.</li></ul>
 Governance &amp; Security<ul><li>Apply data governance standards for naming conventions, schema design, and access control.</li><li>Work with IT to enforce security policies, manage permissions, and ensure compliance with client and regulatory requirements.</li></ul>
 Continuous Improvement<ul><li>Stay current with Microsoft&rsquo;s data platform capabilities (Fabric, Power BI, Azure Data Factory, etc.).</li><li>Recommend new features, automation, or process improvements to enhance reliability and usability.</li><li>Partner with stakeholders to identify and implement new use cases for analytics and reporting.</li></ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related field (or equivalent experience).</li><li>
Must have 3+ years of experience with Microsoft data stack (Azure SQL Database, Azure Data Factory, Synapse, Power BI, or Fabric).</li><li>
Strong SQL development skills and experience with data modeling (star/snowflake schema) required.</li><li>
Hands-on experience with ETL/ELT pipelines and automation scheduling required.</li><li>
Familiarity with cloud-based data security and access control practices.</li><li>
Experience with Microsoft Fabric Lakehouse and Mirrored Databases preferred.</li><li>
Familiarity with engineering or construction industry data (projects, cost, schedule) preferred.</li><li>
Python or Spark experience for data transformation preferred.</li><li>
Knowledge of DevOps/Git-based version control for data pipelines preferred.</li><li>
Strong collaboration skills &ndash; able to work with project managers, analysts, and IT staff.</li><li>
Excellent troubleshooting and problem-solving skills.</li><li>
Continuous improvement mindset with willingness to learn and adopt new technologies.</li><li>
Clear communication skills (both technical and business-oriented).</li></ul>
Level Placement:
Typically, depending on an applicant&rsquo;s education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, an Entry-Level Data Engineer typically would be placed at a Shannon &amp; Wilson Professional I, II, III, or IV level with annual compensation ranging from $90,000 - $120,000.
Shannon &amp; Wilson is committed to providing a comprehensive total rewards package that includes the following benefits:
<ul><li>Employee stock ownership
</li><li>Medical, prescription, vision, dental, long-term care and life insurance plans are offered to employees (and their families).
</li><li>Pre-tax health and daycare FSA
</li><li>Profit sharing and 401(k) plans with annual safe-harbor contributions
</li><li>10 - 20 paid vacation days per year for full-time employees, based on years of experience (prorated for part-time employment)</li><li>
Sick leave accrues based on state requirements</li><li>
9 paid holidays per year + 1 personal holiday
</li><li>Paid volunteer day
</li><li>Paid time off for bereavement and jury duty
</li><li>Two weeks of paid parental leave
</li><li>Lunch &amp; Live wellness webinars and an Employee Assistance Program</li><li>
Mentorship Program</li><li>
Tuition Reimbursement</li><li>
Free parking
</li></ul>Shannon &amp; Wilson is an Equal Opportunity Employer
Shannon &amp; Wilson participates in the E-Verify program.
Please note that non-solicited resumes from external recruitment agencies will not be considered as introductions to our business, unless a preapproved agreement is in place and the external recruitment agency has been engaged to work on this specific vacancy.</div>

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their data and knowledge. Combining generative AI-powered search, deep research capabilities, intelligent agents and automations, and comprehensive business intelligence, Quick Suite serves tens of thousands of users. Our platform processes thousands of queries monthly, helping teams make faster, data-driven decisions while maintaining enterprise-grade security and governance. From natural language interactions with complex datasets to automated workflows and custom AI agents, Quick Suite is redefining workplace productivity at unprecedented scale. 
 
We are seeking a Data Scientist II to join our Quick Data team, focusing on evaluation and benchmarking data development for Quick Suite features, with particular emphasis on Research and other generative AI capabilities. Our mission is to engineer high-quality datasets that are essential to the success of Amazon Quick Suite. From human evaluations and Responsible AI safeguards to Retrieval-Augmented Generation and beyond, our work ensures that Generative AI is enterprise-ready, safe, and effective for users at scale. 
As part of our diverse team&mdash;including data scientists, engineers, language engineers, linguists, and program managers&mdash;you will collaborate closely with science, engineering, and product teams. We are driven by customer obsession and a commitment to excellence.
 
 
Key job responsibilities 
In this role, you will leverage data-centric AI principles to assess the impact of data on model performance and the broader machine learning pipeline. You will apply Generative AI techniques to evaluate how well our data represents human language and conduct experiments to measure downstream interactions. 
Specific responsibilities include: 
<ul><li>Design and develop comprehensive evaluation and benchmarking datasets for Quick Suite AI-powered features</li><li>Leverage LLMs for synthetic data corpora generation; data evaluation and quality assessment using LLM-as-a-judge settings</li><li>Create ground truth datasets with high-quality question-answer pairs across diverse domains and use cases</li><li>Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance</li><li>Develop and refine annotation guidelines and quality frameworks for evaluation tasks</li><li>Conduct statistical analysis to measure model performance, identify failure patterns, and guide improvement strategies</li><li>Collaborate with ML scientists and engineers to translate evaluation insights into actionable product improvements</li><li>Build scalable data pipelines and tools to support continuous evaluation and benchmarking efforts</li><li>Contribute to Responsible AI initiatives by developing safety and fairness evaluation datasets</li></ul> 
About the team 
 
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. 
 
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. 
 
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. 
 
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. 
 
Hybrid Work 
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>1+ years of working with or evaluating AI systems experience</li><li>1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience</li><li>Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li><li>Experience effectively communicating complex concepts through written and verbal communication</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. 
 
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. 
 
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. 
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. 
USA, CA, Santa Clara - 157,300.00 - 212,800.00 USD annually 
USA, NY, New York - 153,400.00 - 207,500.00 USD annually 
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div>

Data Scientist, AWS Quick Data

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help. 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. 
 
Amazon Web Services (AWS) is seeking a Structural Engineer to become part of a Data Center Engineering team. This engineer will be located in any of the 3 offices listed with intent to support AMER projects as well as some global projects. 
 
As the Structural Engineer you will be responsible for the structural infrastructure strategy and continuous product innovation and development to support our rapidly expanding global data center footprint. AWS Data Centers are a major component of worldwide cloud-computing infrastructure and are industry leading examples of critical facilities. 
 
Engineers at Amazon work to design resilient, cost effective data center structural systems. As engineers at Amazon we are responsible for achieving a world class uptime for our customers. We justify and communicate the technical decisions we make to Senior Management and work hard to drive continuous advancements and improvements with our designs. 
 
As an engineer at Amazon you have the ability to drive change and define/design the systems our customers rely on. 
 
Our Structural Engineers play a hands on role with our mission critical data center structural designs and implementation. 
 
Amazon offers a fast paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for continued professional growth. Amazon&rsquo;s work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. 
 
If you are a creative, smart and driven individual that enjoys working with complex problems we want YOU! Some of the best parts of working at Amazon is that you will be responsible for working on multi-million dollar designs that support our array of businesses and wide variety of customers. Great ideas are encouraged and supported. Ingenuity is the main mechanism which supports our focus on quality, speed, and cost. 
 
Key job responsibilities 
<ul><li>Create, review and release data center Structural Engineering improvements and designs for the next gen data center design.</li><li>Provide relevant feedback into Basis of Design, prototype design, and template specifications for structural engineering systems.</li><li>Serve as a technical advisor for AWS DC design projects including; review of foundation and structural systems, evaluating superstructure design options, performing seismic studies and assessing structural calculation assumptions.</li><li>Create, review and release architectural/civil/structural design RFPs.</li><li>Manage our external architectural/civil/structural design consultants.</li><li>Coordinate with internal and external MEP/C/A design engineers.</li><li>Lead initiatives aimed at improving cost, quality, schedule, and consistency.</li><li>Manage multiple fast paced projects simultaneously.</li><li>Travel for site assessments, internal design meetings, construction review, interface with AHJs and design consultants. Anticipated travel not to exceed 25%.</li></ul> 
About the team 
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. 
 
Diverse Experiences 
Amazon 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. 
 
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. 
 
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, inspire us to never stop embracing our uniqueness. 
 
Mentorship and 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.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Knowledge of Microsoft Office including Outlook, Word, and Excel</li><li>Experience researching new designs, technologies, and construction methods of data center equipment and facilities</li><li>Bachelors Degree in Structural Engineering or equivalent experience</li><li>5+ years of commercial, warehouse, industrial and/or data center design, construction, operations, or facility maintenance experience</li><li>2+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience</li><li>Solid working proficiency in related structural design software such as CSI and Bentley Structural package, AutoCAD, Revit, Bluebeam, Navisworks, sketch up and MS Office Suite.</li><li>Experience in seismic design and detailing for structural steel and reinforced concrete structures, regulations, and standards including IBC and ASCE.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Professional Engineer License</li><li>Experience with building codes and regulations for your region</li><li>Experience carrying design concepts through exploration, development, and into deployment or mass production</li><li>Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents</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. 
 
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. 
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. 
USA, TX, Austin - 116,800.00 - 160,000.00 USD annually 
USA, VA, Herndon - 116,800.00 - 160,000.00 USD annually 
USA, WA, Seattle - 116,800.00 - 160,000.00 USD annually</div>

Structural Engineer, Data Center Engineering

Apple

As a Data Engineer on the Capacity Engineering team, you will help design, build, and operate the data foundation that drives capacity, cost, and power-related decisions across Apple&rsquo;s infrastructure footprint. 
 
In this role, you will: 
 
Architect, implement, and maintain large-scale batch and streaming pipelines that ingest, process, and model infrastructure telemetry, cost, metering, utilization, forecasting, and power metrics from multiple clouds and bare metal environments. 
 
Design and evolve robust data models (with a strong focus on dimensional modeling) and storage patterns that support analytics, internal billing, and efficiency use-cases. 
 
Treat data as a product: define quality checks, SLAs, and observability to ensure data is accurate, timely, and trusted by stakeholders across Apple. 
 
Integrate and enrich raw signals with metadata and attribution to power use cases such as internal billing/showback, usage understanding, efficiency and optimization, clawbacks, planning, and procurement. 
 
Collaborate closely with data scientists, software engineers, platform teams, finance partners, program managers, and leadership to translate requirements into scalable, reliable data solutions and services. 
 
Implement standard methodologies for data governance, lineage, metadata management, and security, in alignment with Apple&rsquo;s standards for data protection and privacy. 
 
Build end-to-end data solutions that include logging, anomaly detection, data validation, cleaning, and transformation, with strong emphasis on monitoring, debuggability, and continuous improvement. 
 
Contribute to the evolution of our data and platform stack, including tooling, frameworks, and standards for development, testing, deployment, and operations (CI/CD, infrastructure as code, etc.). 
 
Description 
 
Apple&rsquo;s Capacity data engineering team, within the Apple Services Engineering organization, is building the centralized data backbone that powers how Apple understands, plans, and optimizes its cloud and data center infrastructure. 
 
We engineer a unified, trusted data lake that consolidates cost, metering, utilization, forecasting, and power metrics produced by Apple platforms and systems (including bare metal) across both third-party and Apple internal clouds. Enriched with metadata and attribution, this becomes the single source of truth for internal billing, understanding usage and utilization, clawbacks, planning, procurement, and efficiency initiatives. 
 
We collaborate with platform engineering, finance, capacity engineering, and leadership teams to build large-scale data pipelines, enable descriptive and predictive analytics, and power dashboards and products that support critical business decisions. This is your opportunity to help design and operate highly visible, global-scale systems processing petabytes of data and supporting hundreds of users across Apple. 
 
Come join us to help deliver the next generation of infrastructure insights at Apple. 
 
Preferred Qualifications 
 
Advanced degree in a related field a plus. 
 
Experience with data visualization / BI tools, such as Superset or Tableau (other tools like QuickSight, QlikView, Cognos, or Business Objects are a plus) 
 
Experience with containerization and orchestration, such as Docker and Kubernetes/EKS is a plus 
 
Understanding of authentication and authorization (AuthN/AuthZ) patterns 
 
Knowledge of data governance principles, data security best practices, and data privacy regulations 
 
Minimum Qualifications 
 
Bachelors degree or equivalent experience in Computer Science, Information systems, Software Engineering, Data Science or related field. 
 
5+ years of experience in data engineering (or equivalent practical experience), including: 
 
Building and maintaining large-scale ETL/ELT data pipelines 
 
Distributed computing (e.g., Spark / PySpark) for data processing and automation 
 
Query performance optimization and tuning at scale 
 
Hands-on experience with: 
 
Apache Spark and Airflow (or similar workflow/orchestration tools) for efficient large-scale data pipelines 
 
Data modeling, especially dimensional modeling, and designing schemas optimized for analytics and reporting 
 
Big data platforms and/or data lake architectures 
 
Experience with CI/CD tooling such as Jenkins (or similar tools) 
 
Experience with cloud technologies, AWS/GCP (e.g., S3, EMR, Lambda, Glue, RDS/Redshift, Big-query, Kinesis or similar services) 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Data Engineer

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. 
 
Are you interested in developing solutions that have big impact? Are you someone who likes to challenge the status quo and work on developing innovative product solutions? If you are a material engineer and looking for an exciting career in cloud infrastructure, come join a team that constantly seeks ways to build things better &amp; faster for our customers. 
 
AWS is looking for a Sr. Material and Processes Engineer to become part of a global data center engineering team, responsible for the design and continuous innovation within our rapidly expanding data center footprint.
 
 
Our Senior Material and Processes Engineers partners with Design Engineers to identify the correct materials and processes for our Data Center systems. As engineers at Amazon, we are responsible for achieving a world class uptime for our customers. We drive continuous advancements and improvements with our designs, and communicate technical direction to Sr. Management. We seek new ways to enhance the reliability, scalability, and cost effectiveness of our engineering designs. As an engineer at Amazon, you have the ability to drive change and make a substantial impact in the systems our customers rely on. 
 
Key job responsibilities 
<ul><li>Broad materials &amp; processes support for metallic and/or composite materials including: forging, casting, forming, extrusion, plating, coating, friction welding, brazing, anodization, and passivation; solid and sandwich laminates.
</li><li>Support design, analysis, materials selection, process development, and M&amp;P qualification for data center systems.
</li><li>Review production drawing for large complex assemblies systematically, documenting the review to the established requirements.
</li><li>Responsible for M&amp;P signatory release of engineering drawings for parts and assemblies.</li><li>Lead and coordinate internal and external M&amp;P efforts, including development of specifications, supplier qualification, First Article Inspection, mechanical testing, and customer-facing updates.</li><li>Contribute to the development of internal engineering and quality processes to standardize and accelerate material evaluation, implementation, and qualification.</li><li>Work with cross-functional teams within the organization and other business units. 
</li></ul> 
 
About the team 
Diverse Experiences 
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.
 
 
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. 
 
Inclusive Team Culture 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
 
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.
 
 
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.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>6+ years of data center design, construction, operations, or facility maintenance experience</li><li>6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience</li><li>Bachelor's degree in Engineering or a related field</li><li>Knowledge of critical data center mechanical and electrical equipment</li><li>Experience in data center design, construction, operations, or facility maintenance</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Professional Engineering or Architectural License</li><li>Knowledge of building codes and regulations for your region</li><li>Experience carrying design concepts through exploration, development, and into deployment or mass production</li><li>Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents</li><li>Experience researching new designs, technologies, and construction methods of data center equipment and facilities</li><li>Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities</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. 
 
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. 
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. 
USA, OH, COLUMBUS - 136,600.00 - 184,800.00 USD annually 
USA, TX, Austin - 136,600.00 - 184,800.00 USD annually 
USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually 
USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually</div>

Senior Material Engineer, Data Center Mechanical Solutions

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