architecture project manager - data centers (hybrid)

data analyst

architecture project manager - data centers (hybrid) Jobs in Seattle

consulting manager - ai & analytics Jobs in Seattle

consulting manager - ai & analytics

data analyst intern

data engineer

cloud data engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><ul><li> 5+ years of experience building platforms and data products
</li></ul><ul><li> 5+ years of experience working with data and data warehousing business solutions
</li></ul><ul><li> 5+ years of experience with cloud-platform technologies (AWS, Azure, GCP)
</li></ul><ul><li> AWS data engineering services (Glue, Lambda, Redshift), data modeling/Data mesh
</li></ul><ul><li> 5+ years of experience with data pipeline tools and Extract Transform Load (ETL) services
</li></ul><ul><li> Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion
</li></ul><ul><li> Experience with Artificial Intelligence (AI) hardware and software integrationenvironment.</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><ul><li> Design and own the end-to-end cloud data platform architecture for Human Resources (HR) data (ingest, storage, processing, serving, cataloging, and archival)
</li></ul><ul><li> Translate HR analytics and Machine Learning (ML) requirements into logical and physical data models, data products, and platform services
</li></ul><ul><li> Define and implement data ingestion strategies (batch, streaming), transformation patterns (ELT/ETL), and orchestration for HR sources (HRIS, payroll, Learning Management Systems, recruiting, time and attendance, benefits, performance systems)
</li></ul><ul><li> Design, develop, maintain and optimize internal company data architecture for complex databases/data warehouse required to operate the business
</li></ul><ul><li> Complete data modelling for acquisition and database implementation collaborating with different stakeholders
</li></ul><ul><li> Apply data extraction, transformation and loading techniques to connect large and complex data sets from a variety of sources
</li></ul><ul><li> Lead the creation of data collection frameworks for structured and unstructured data and solve complex data problems to generate features required by data scientists
</li></ul><ul><li> Lead activities to develop and maintain complex infrastructure systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces (APIs)
</li></ul><ul><li> Analyze and manage complex data
</li></ul><ul><li> Guide other data and analytics professionals on data standards and practices
</li></ul><ul><li> Create a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions
</li></ul><ul><li> Lead build of repeatable data pipelines across complex multi- and hybrid-cloud environments
</li></ul><ul><li> Leverage automation extensively for scalability, repeatability, and reuse</li></ul><br>
<div><br>
</div><div>Generic Managerial Skills, If any
</div><ul><li> Experience in Human Resources
</li></ul><ul><li> Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling
</li></ul><ul><li> Experience with Azure DevOps (ADO) or Team Foundation Server (TFS ), GitLab, GIT, IIS, Windows Server
</li></ul><ul><li> Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure
</li></ul><ul><li> Experience with Cloud technologies and/or Cloud-native app development and microservices</li></ul><br>
<div><br>
</div><div>Base Salary Range : $100,000 to $130,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</div><br>
<div><br>
</div><div>#LI-SV2
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>402083</div>
</div><div><div><b>Desired Skills</b></div>
<div>ASP.NET</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$130,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Cloud Data Engineer

Blueprint Technologies

<div><p><b>Who is Blueprint?</b></p>
<p>
We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We're bold, smart, agile, and fun.</p>
<p><b>
What does Blueprint do?</b></p>
<p>
Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies.</p>
<p><b>
Why Blueprint?</b></p>
<p>
At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You'll focus on solving unique business problems while gaining hands-on experience with the world's best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won't find a better place to work and thrive than at Blueprint.</p>
<p></p>
<div><h2 class="jobSectionHeader"><b>In This Role</b></h2>
<p>
As a Data Engineer on the Data Pipeline team, you will build and support modern, large-scale analytics platforms that power data-driven decision-making across the studio. You'll work hands-on with cloud-based lakehouse and warehouse architectures, designing and maintaining real-time and batch data pipelines that serve business, design, test, and development stakeholders. This role sits at the intersection of data engineering, analytics enablement, and documentation, helping teams not only use data effectively but also understand and trust the systems behind it.</p>
<p>
You'll contribute to a culture of test-driven, data-informed development by shaping how data is captured, processed, documented, and shared. Attention to detail, strong engineering fundamentals, and a passion for scalable, modern data architecture are key to success in this role.</p>
<b>
Responsibilities</b>
<ul><li>Design, build, and maintain scalable, high-quality data pipelines supporting both real-time and batch analytics workloads</li>
<li>Develop and optimize ETL/ELT processes using modern cloud data technologies and orchestration tools</li>
<li>Contribute to the design and evolution of lakehouse and warehouse data models that support analytics and reporting needs</li>
<li>Partner with business, design, test, and development teams to understand data requirements and improve data capture strategies</li>
<li>Help lead technical writing initiatives, including goal-setting, planning, and execution</li>
<li>Write, edit, and maintain clear, concise, and well-structured technical documentation</li>
<li>Create and improve documentation standards, organization, and knowledge-sharing processes</li>
<li>Organize and curate documentation to ensure it is intuitive, discoverable, and up to date</li>
<li>Advocate for consistent knowledge sharing across teams and studios</li>
<li>Research and propose improvements to documentation workflows and solutions to existing pain points</li>
<li>Apply modern engineering best practices to ensure reliability, scalability, and data quality across platforms</li>
</ul><b>Required Qualifications</b>
<ul><li>5+ years of professional experience working with SQL</li>
<li>5+ years of experience designing and implementing scalable ETL processes, including data movement and data quality tooling</li>
<li>Hands-on experience with cloud-based data orchestration solutions (e.g., Azure Data Factory or equivalent)</li>
<li>3+ years of experience with modern big data analytics platforms, including:
<ul><li>Data lakes</li>
<li>Distributed processing frameworks (e.g., Spark)</li>
<li>Columnar storage formats such as Parquet</li>
</ul></li><li>2+ years of experience building and supporting cloud-hosted data systems</li>
<li>Strong understanding of data modeling, pipeline reliability, and performance optimization</li>
</ul><b>Preferred Qualifications</b>
<ul><li>Experience building data pipelines using cloud-native analytics platforms and services (e.g., data factory tools, analytics warehouses, and Spark-based processing)</li>
<li>Hands-on experience working with Delta Lake and transactional data lake formats</li>
<li>Experience querying and integrating data from high-performance analytics engines (e.g., time-series or log-based systems such as Kusto/Azure Data Explorer)</li>
<li>Exposure to AI/ML-focused data engineering use cases, including:
<ul><li>Feature engineering and feature stores</li>
<li>Model training and serving datasets</li>
<li>Model monitoring and observability pipelines</li>
</ul></li><li>Experience preparing, governing, and securing datasets for modern AI applications, including:
<ul><li>LLM and RAG workflows</li>
<li>Experimentation and A/B testing</li>
<li>Privacy-aware and compliant data access patterns</li>
</ul>
</li></ul></div><p><b>Salary Range</b></p>
<p>
At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is <b>$43 to $45.38 USD/Hourly</b>. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate's qualifications and could fall outside the stated range.</p>
<p><b>
Equal Opportunity Employer</b></p>
<p>
Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law.</p>
<p>
If you need assistance or a reasonable accommodation to complete the application process, please reach out to: recruiting@bpcs.com</p>
<p>
Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes:</p>
<ul>
<li>Medical, dental, and vision coverage</li>
<li>Flexible Spending Account</li>
<li>401k program</li>
<li>Competitive PTO offerings</li>
<li>Parental Leave</li>
<li>Opportunities for professional growth and development</li>
</ul>
<p><b>Location:</b> Remote</p></div>

Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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.
<br>
<br>
The Global Network Deployment (GND) organization is looking to hire a Data Engineer to join our Intel &amp; Reporting team (I&amp;R) to support GND&rsquo;s fast growing operations. The GND organization owns the delivery of physical network infrastructure for core data centers and Edge points-of-presence (PoPs) globally through planning, deployment, and process optimization.<br>
<br>
As a Data Engineer on this team, manage and create the infrastructure required to drive efficiency in data ingestion and transformation processes working with the source SDE teams and partner DE team across DCC for the data required for GND. You will work collaboratively with BIE's, business leaders and TIPMS teams on many non-standard and unique business problems and support business initiatives by enabling them to query data and build appropriate metrics.
<br>
<br>
The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects E2E, from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team&rsquo;s BI solutions and any related systems or artifacts.<br>
<br>
Key job responsibilities<br>
Data-as-a-Product Delivery<br>
<ul><li>Own end-to-end accountability for data pipelines from ingestion to consumption</li><li>Deliver data pipelines with clear SLAs, quality metrics, and customer satisfaction measures</li><li>Build self-service platforms with embedded governance, lineage, and discovery</li><li>Establish Gen AI powered data contracts and SLA's for reliable, versioned data consumption and meta data management
</li><li>Develop infrastructure for agentic AI systems with multi-agent orchestration</li></ul><br>
AWS Infrastructure &amp; Pipeline Engineering<br>
<ul><li>Manage AWS resources: S3, Redshift, Kinesis, SageMaker, Bedrock</li><li>Build high-quality pipelines supporting BIE's, TIPMS and AI agents</li><li>Implement CDC and event-driven architectures for tracking data availability</li><li>Deploy infrastructure-as-code using CDK/Terraform</li></ul><br>
About the team<br>
AWS Global Network delivery Team supports 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.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</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 - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer II, Global Network Delivery

Apple

<p>Imagine shaping how millions of people discover content they love on the App Store, Apple Music, and Apple TV+. Our team is responsible for the intelligence that powers these deeply personal experiences.<br>
<br>
We are at a pivotal moment, defining the next generation of personalization. We build the foundational capabilities that empower product and research teams to deliver hyper-personalized experiences while maintaining an uncompromising commitment to user privacy. We believe that deep personalization shouldn't require compromising user trust, and we are pioneering the decentralized data systems to prove it.<br>
<br>
<b>Description</b><br>
<br>
This is not a standard Data Engineering or Machine Learning role. We are looking for a pioneering engineer to join our team. You will build the systems that securely process, combine, and deliver the critical user and content signals needed for personalization, spanning from edge devices to cloud backends. You will engineer high-performance stacks that transform raw data into governed, discoverable intelligence, ensuring that machine learning models can seamlessly and securely access the right user and content signals regardless of where that data physically resides.&quot;,&quot;responsibilities&quot;:&quot;Architect Hybrid Feature Resolution: Design and build the access layer that abstracts the physical location of data. Ensure that inference systems can seamlessly access real-time on-device context, cloud-based service history, and content metadata through a unified, familiar API.<br>
<br>
Engineer Signal Fusion: Build robust, petabyte-scale pipelines that ingest and fuse disparate signals into coherent user profiles and rich content representations.<br>
<br>
Architect the Semantic Data Layer: Transform raw data into the high-value signals that train our next-generation ML models. Architect the systems that generate this data and seamlessly integrate it with our training infrastructure.<br>
<br>
Optimize for Privacy &amp; Scale: Build highly optimized stacks that extend existing data systems into privacy-constrained environments. Implement data minimization strategies to securely leverage rich user signals without compromising trust.<br>
<br>
Cross-Functional Innovation: Partner closely with data systems teams, core compute engineers, and ML teams to ensure the right context is delivered to the right compute environment at the exact right time.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Hybrid/Edge Computing: Experience building systems that bridge cloud backend systems with on-device or edge compute environments.<br>
<br>
Embeddings &amp; Vector Search: Familiarity with generating, managing, and serving dense embeddings for retrieval, ranking, and personalization systems.<br>
<br>
Data Governance: Experience building semantic layers, data catalogs, or implementing compliance-by-design in a regulated environment.<br>
<br>
Privacy-Preserving Tech: Passion for privacy and an understanding of data minimization strategies, secure enclaves, or Privacy-Enhancing Technologies (PETs).<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
BS or MS in Computer Science, Data Engineering, Software Engineering, or a related field.<br>
<br>
Senior-Level Experience: A proven track record of shipping complex, large-scale data engineering, feature serving, or machine learning systems to production.<br>
<br>
Mastery of Big Data &amp; Serving: Expertise in designing distributed data processing systems using technologies like Spark and Flink, and building low-latency, high-throughput data serving layers or Feature Stores.<br>
<br>
Strong Software Engineering: Deep proficiency in Java or Go for building high-performance production backend systems, and Python for model training ecosystems.<br>
<br>
Strategic Data Mindset: Demonstrated experience thinking critically about data architecture, including data ontology, discoverability, and bridging distributed data sources.<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Software Engineer, Data & Machine Learning Systems

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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.<br>
<br>
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.<br>
<br>
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 mechanical 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.<br>
<br>
AWS is looking for a Sr. Mechanical 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. This position can be based out of Seattle, Washington or Herndon, Virginia.<br>
<br>
Our Senior Mechanical Engineers take full ownership to design resilient, cost effective mechanical 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.<br>
<br>
At Amazon, team work is absolutely necessary for us to accomplish our goals. We work within a team and depend on others to accomplish the required work. As a mechanical engineer at Amazon you will be working with other internal groups as well as external groups including manufacturers, vendors, and contractors.<br>
<br>
If you are a creative, smart and driven individual that enjoys working with complex problems we want you! At Amazon, you will be responsible for working on multi-million-dollar designs and supporting our wide variety of customers. Great ideas are encouraged and supported. Ingenuity is the main mechanism which supports our focus on quality, speed, and cost.<br>
<br>
Key job responsibilities<br>
<ul><li>Work in a cross-disciplinary setting with ability to influence and drive others.</li><li>Advises peer engineers and management team.</li><li>Deep-dive and perform root cause analysis.</li><li>Make technical trade-offs between short-term project goals and long-term business needs.</li><li>Develop integrated systems extending the life of data center infrastructure products.</li><li>Simplify, optimize and lower costs of data center mechanical and associated sub components.</li><li>Collaborate with internal and external ecosystem partners to design and develop new data center product solutions.</li><li>Support field engineering and data center operation teams for performing root cause analysis and implementation of corrective actions.</li><li>Leverage economy of scale through standardization and modularization of data center products.</li><li>Provide technical subject matter expertise to peers, senior management and partner teams.</li><li>Develop business justification and narratives to promote new concepts and ideas.</li><li>Lead key initiatives for the organization while demonstrating complete ownership.</li><li>Work with global suppliers and manufacturers to specify appropriate mechanical and associated sub components.</li><li>Provide product design support to other team members.</li><li>Writing functional specifications, design verification plans, and functional test procedures.</li><li>Ability and willingness to travel domestic and internationally for up to 25% of the year.</li></ul><br>
About the team<br>
Diverse Experiences<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?<br>
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.<br>
<br>
Inclusive Team Culture<br>
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.<br>
<br>
Mentorship &amp; Career Growth<br>
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.
<br>
<br>
Work/Life Balance<br>
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"><b>BASIC QUALIFICATIONS</b></h2><ul><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>Experience researching new designs, technologies, and construction methods of data center equipment and facilities</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></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></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, VA, Herndon - 136,600.00 - 184,800.00 USD annually<br>
USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually</div><p></p>

Senior Mech Product Design Engineer, Data Center Eng, Mechanical Products and Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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.
<br>
<br>
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.<br>
<br>
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.<br>
<br>
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.
<br>
<br>
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.<br>
<br>
Key job responsibilities<br>
<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.<br>
</li></ul><br>
<br>
About the team<br>
Diverse Experiences<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?<br>
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.<br>
<br>
Inclusive Team Culture<br>
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.<br>
<br>
Mentorship &amp; Career Growth<br>
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.
<br>
<br>
Work/Life Balance<br>
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"><b>BASIC QUALIFICATIONS</b></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"><b>
PREFERRED QUALIFICATIONS</b></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><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, OH, COLUMBUS - 136,600.00 - 184,800.00 USD annually<br>
USA, TX, Austin - 136,600.00 - 184,800.00 USD annually<br>
USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually<br>
USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually</div><p></p>

Senior Material Engineer, Data Center Mechanical Solutions

Seattle Kraken

<div><p><b>Position:</b> Data Engineer, Hockey Operations [Remote]</p>
<p><b>
Department:</b> Hockey Operations</p>
<p><b>
Reports To:</b> Director, Research &amp; Development</p><br>
<p></p>
<p><b>
Our Purpose</b></p>
<p>
We are building a championship organization that serves our fans, community, and business partners through world class sports and entertainment. We believe that Winning Matters, our Fans come first, with risk comes reward, great teams can achieve unimaginable results, honoring the Pacific Northwest is our duty and driving the business is our responsibility.</p>
<p><b>
Position Summary</b></p>
<p>
The Data Engineer will be part of the Hockey Operations Research &amp; Development team, responsible for building and maintaining the data infrastructure that powers player evaluation, trade analysis, draft preparation, and real-time decision making across the organization.</p>
<p>
This is a small, high-ownership team where you&rsquo;ll work closely with analysts, developers, and hockey operations staff who depend on the systems you build. You&rsquo;ll design &amp; implement pipelines, optimize data storage &amp; retrieval, and help ship reliable, performant infrastructure that scouts and coaches actually use.</p>
<p>
In a typical week, you might be debugging a pipeline that ingests tracking data, meeting with a scout or analyst to understand a new report they would like created, and working with an analyst on feature engineering for a new model. The systems you build will directly shape how we evaluate players, prepare for games, and make decisions that end up on the ice.</p>
<p><b>
Philosophy</b></p>
<p>
We believe good engineering in this role means:</p>
<ul>
<li>Building tools that help hockey operations staff make better decisions, faster</li>
<li>Ability to take loosely defined data requirements and deliver practical solutions</li>
<li>Choosing simple, reliable solutions over clever ones</li>
<li>Owning outcomes from problem through delivery, including incorporating user feedback</li>
<li>Shipping iteratively and learning from how the data is actually used</li>
<li>Noticing data quality or reliability issues early and addressing them proactively</li>
<li>Eagerness to learn the domain, grow as an engineer, and be open to mentorship</li>
</ul>
<p>You do not need to be a hockey expert on day one, but you should be genuinely curious about the domain.</p>
<p><b>
Must-Haves</b></p>
<ul>
<li>1+ year of data or analytics engineering experience in a production environment</li>
<li>Ability to independently design and maintain data pipelines in Python</li>
<li>Experience with ETL development, data modeling, and data warehousing</li>
<li>Experience with PostgreSQL or other relational databases at scale</li>
<li>Comfort working directly with non-technical users and translating their feedback into product decisions</li>
<li>Clear written communication and the ability to work with high autonomy</li>
</ul>
<p><b>Good-to-Haves</b></p>
<ul>
<li>Experience with AWS or a similar cloud ecosystem</li>
<li>Experience with a modern data stack: cloud warehouse (Snowflake, BigQuery, Redshift), orchestration (Airflow/dbt) and pipeline tooling.</li>
<li>Experience working with high-frequency spatial or event-stream data (e.g. NHL puck and player tracking, optical tracking systems, or similar)</li>
<li>Passion for hockey or sports</li>
</ul>
<p><b>Key Considerations</b></p>
<ul>
<li>This is a small team with limited layers between identifying a problem and owning it</li>
<li>Priorities shift with the hockey calendar &mdash; draft, trade deadline, free agency, and training camp all drive the roadmap</li>
<li>Data reliability is critical because hockey operations staff depend on accurate, timely information for real decisions</li>
<li>Requirements are not always fully defined. Comfort with ambiguity is essential</li>
</ul>
<p><b>Total Rewards Package</b></p>
<p><b>
Compensation</b></p>
<ul>
<li>In accordance with Washington&rsquo;s Equal Pay and Opportunity Act, the expected pay range for this position is $100,000 to $125,000. Actual base pay will depend on the employee&rsquo;s experience and other job-related factors permitted by law.</li>
<li>This role is classified as full-time, exempt.</li>
</ul>
<p><b>Benefits &amp; Perks</b></p>
<ul>
<li>Company-paid medical, dental, and vision insurance, including premiums for eligible dependents enrolled in the plans</li>
<li>Company-paid life insurance and short &amp; long term disability insurance</li>
<li>Company-paid employee assistance program and Headspace subscription</li>
<li>Flexible spending accounts and voluntary accident, critical illness, and hospital indemnity insurance available</li>
<li>401k (pre-tax and Roth) with Company match up to 4%</li>
<li>15 vacation days and accrued sick time</li>
<li>Minimum 10 paid holidays per year</li>
<li>Paid parental leave</li>
<li>Company-wide recognition platform</li>
</ul>
<p><b>Working Conditions</b></p>
<ul>
<li>Remote position: Candidates located in the United States are preferred, but international candidates are welcome to apply</li>
<li>Minimal Travel (&lt;10% travel): May be required to travel. Trips may require air travel and/or overnight stay away from home for one or more nights.</li>
<li>Some evening and weekend game coverage (shared across the team on a rotating basis)</li></ul><br>
<p></p>
<p><i>
Seattle Hockey Partners, LLC and Seattle Arena Company, LLC are proud to be an equal opportunity workplace. We do not discriminate on basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or any protected category prohibited by local, state or federal laws.</i></p></div>

Data Engineer, Hockey Operations

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