aiml - sr backend engineer, data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

big data support engineer, smgs ops - dp&i - data platform

patient transporter (full time and part time)

aiml - sr backend engineer, data and ml innovation Jobs in Seattle

aiml - sr machine learning engineer, data and ml innovation Jobs in Seattle

assistant project engineer (wms2) Jobs in Seattle

assistant project engineer (wms2)

aws data engineer

big data support engineer, smgs ops - dp&i - data platform Jobs in Seattle

big data support engineer smgs ops dp i data platform

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS is seeking a Big Data Support Engineer for the Galaxi Data Platform Team in the AWS Sales, Marketing, &amp; Global Services (SMGS) org.<br>
<br>
We, the Galaxi Data Platform Team, are in the business of helping our customers securely, conveniently, and quickly manage and gain insights into the organization&rsquo;s Sales and Marketing data at scale. We are looking for a driven and results-oriented engineer who can support services, that enable customers to self-serve data access for analytics and transaction systems on a multi-petabyte data lake. The ideal candidate thrives in a fast-paced environment, relishes working with big data technologies, and enjoys the challenge of complex business contexts that are typically being defined in real-time.<br>
<br>
The ideal candidate will be motivated, have strong attention to detail, and will model Amazon Leadership Principles. A familiarity with AWS technologies including S3, Glue, LakeFormation, Redshift as well as other no-SQL solutions which form the foundation of these systems is an asset.<br>
<br>
Key job responsibilities<br>
<ul><li>Work closely with multiple data platform teams focused on data engineering, analytics, orchestration and ETL tools, to build highly scalable systems and manage operations.</li></ul><br>
<ul><li>Interface with globally dispersed data consumers to maintain overall health and stability of systems.</li></ul><br>
<ul><li>Work closely with multiple engineering teams and product teams to implement automated solutions across a variety of applications and systems.</li></ul><br>
<ul><li>Possess good technical knowledge in Infrastructure, Operational Excellence, System Tuning, and Monitoring.</li></ul><br>
<ul><li>Participate in design reviews for complex systems.</li></ul><br>
<ul><li>Perform root cause analysis and drive process and service improvements as a result.
</li></ul><br>
<ul><li>Document frequently occurring issues and report them to SMEs.</li></ul><br>
<ul><li>Resolve customer tickets related to access provisioning, account vending and data onboarding.</li></ul><br>
A day in the life<br>
As a Big Data Support Engineer, you will work closely with our customer teams focused on data engineering, analytics, orchestration and ETL tools, to build highly scalable systems and manage operations of the Data Platform including monitoring its overall health and stability. The perfect candidate will be a customer obsessed engineer who possesses good technical knowledge in Infrastructure, System Tuning, Troubleshooting, Debugging and Monitoring. You will have the opportunity to implement automated solutions across a variety of applications and systems.<br>
<br>
About the team<br>
About AWS<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the 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>
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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<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 in the cloud.
<br>
<br>
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience troubleshooting and debugging technical systems</li><li>Bachelor's degree or foreign equivalent in computer science, engineering, mathematics or equivalent</li><li>1+ years of progressive experience in support engineering or software development or a related field</li><li>1+ year of experience with at least one scripting language such as JavaScript, Python, Ruby or similar</li><li>1+ year of experience writing SQL queries including but not limited to using joins, aggregate functions and window functions</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in systems patching and maintenance</li><li>Experience with ETL processes</li><li>Experience with AWS services and Linux operating systems</li><li>Experience in automation with CI/CD, Data Quality Management and Operations</li><li>Good understanding of systems monitoring, debugging and troubleshooting</li><li>Excellent technical knowledge in building and deploying cloud applications</li><li>1+ year of experience/understanding of AWS technologies such as S3, Glue, LakeFormation, Redshift or similar big data technologies</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, TX, Dallas - 74,700.00 - 130,700.00 USD annually<br>
USA, WA, Seattle - 80,200.00 - 130,700.00 USD annually</div><p></p>

Big Data Support Engineer, SMGS Ops - DP&I - Data Platform

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Application deadline: May 20, 2026<br>
<br>
Sales, Marketing and Global Services (SMGS)<br>
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Join us in inventing the tools that empower those sales people to be effective advisors and partners for our customers! The Sales Planning and Compensation (SPC) team is looking for a driven, curious, and passionate inventor to dive deep into our Seller&rsquo;s lives to identify key areas for investment for SPC to build globally scaled products that help them be the worlds best salespeople.<br>
<br>
As a member of the Sales Planning and Compensation (SPC) team, you will shape the AWS business's direction as a whole. You will build greenfield solutions from the ground up while using native AWS services and frameworks. The right candidate will have a robust system delivery background, well-rounded technical knowledge, and demonstrated experience working on large scale projects. The candidate must be customer-obsessed, have strong analytical and communication skills, and passionate about learning new technologies.<br>
You will work with software development engineers to understand features and technical implementation. You will also work with groups such as product management, UX designers to understand customer usage models and develop test plans and suites that approximate real-world environments and regression tests driving the software development process toward quality-centric methodologies. You will develop automated tests to help fasten testing cycles and release faster to our customers. In this role, you will be responsible to deliver manual/automated solutions to test customer facing features.<br>
<br>
This position may be based in Seattle (WA), Dallas (TX), Denver (CO), or Arlington (VA). Relocation offered for US residents only.<br>
<br>
Key job responsibilities<br>
Test Planning and Strategy: Developing comprehensive test plans and strategies based on project requirements, ensuring all aspects of the application are covered.<br>
<br>
Test Case Development: Designing, writing, and maintaining detailed, comprehensive, and well-structured test cases.<br>
<br>
Test Execution: Executing test cases (both manual and automated) and ensuring software quality across various stages of the software development lifecycle.<br>
<br>
Defect Identification and Reporting: Identifying, documenting, and tracking defects using bug tracking tools, and working closely with the development team to resolve them.<br>
<br>
Automation Development: Writing and maintaining automated test scripts using appropriate tools and frameworks to increase test coverage and efficiency.<br>
<br>
Continuous Improvement: Continuously identifying and implementing process improvements to enhance the testing process and improve product quality.<br>
<br>
Collaboration and Communication: Collaborating with cross-functional teams, including developers, product managers, and other stakeholders, to ensure quality standards are met.<br>
<br>
Performance and Load Testing: Conducting performance, scalability, and load testing to ensure the application can handle the expected load.<br>
<br>
Test Environment Management: Setting up, maintaining, and managing test environments to ensure they reflect production environments as closely as possible.<br>
<br>
Risk Assessment and Mitigation: Assessing risks associated with releases and working on strategies to mitigate them, ensuring minimal impact on production environments.<br>
<br>
About the team<br>
About AWS<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the 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>
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.
<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 in the cloud.
<br>
<br>
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>4+ years of quality assurance engineering experience</li><li>Experience in automation testing</li><li>Experience as QA lead on medium to large sized projects</li><li>Experience developing high quality test plans, test designs, test strategies, and test execution</li><li>Experience in leading/coordinating work for other test teams</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with at least one automated test framework like Selenium or Appium</li><li>Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality</li><li>Experience working closely with development and business teams to communicate problem impacts and to understand business requirements</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, CO, Denver - 113,900.00 - 160,000.00 USD annually<br>
USA, TX, Dallas - 113,900.00 - 160,000.00 USD annually<br>
USA, VA, Arlington - 113,900.00 - 160,000.00 USD annually<br>
USA, WA, Seattle - 113,900.00 - 160,000.00 USD annually</div><p></p>

Quality Assurance Engineer, Sales Planning and Compensation (SPC)

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>
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

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
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.
<br>
<br>
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).<br>
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.<br>
<br>
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.<br>
<br>
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.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></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"><b>
PREFERRED QUALIFICATIONS</b></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><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, Content And Data Platform

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The PXT Central Science team is looking for a Data Engineer. This individual will join a team of economists and scientists to own and accelerate science and analytics in our rapid employee intelligence workstream. This suite of models identifies causal factors driving changes in employee sentiment, actions, and business outcomes.<br>
<br>
Key job responsibilities<br>
PXTCS is looking for a data engineer with expertise in complex data environments. You will be responsible for enhancing our existing data architecture to further standardize metrics and definitions, building and testing new features, developing end-to-end data engineering solutions for complex analytical problems, and collaborating with economists, data scientists, and software engineers to translate data into actionable insights. Specific responsibilities include:<br>
<ul><li>Data Pipeline Development: Design and maintain scalable data pipelines using native AWS services (Glue, EMR, Lambda); build monitoring and error handling for data workflows; optimize performance, reliability, and cost efficiency</li><li>Model Productionization &amp; API Development: Develop and maintain APIs and data serving layers that productionize science models for downstream consumption; build batch and real-time inference pipelines</li><li>Data Integration &amp; Quality: Build scalable feature extraction and processing frameworks for diverse data types; develop robust data quality and validation checks; create flexible schemas supporting evolving requirements</li><li>Cross-team Collaboration: Partner with economics, data science, and software engineering teams to translate analytical requirements into production-ready solutions; participate in technical design reviews and architecture discussions</li><li>Analytics &amp; Infrastructure: Maintain layered data systems used by economists and scientists; build automated reporting solutions; work across multiple interconnected AWS accounts with security best practices</li></ul><br>
About the team<br>
The Central Science Team within Amazon&rsquo;s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science, engineering, and UX to develop and deliver solutions that measurably achieve this goal.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Knowledge of professional software engineering &amp; best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence</li><li>3+ years of data engineering experience</li><li>Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><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><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with big data technologies such as: Hadoop, Hive, Spark, EMR</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 152,000.00 - 205,600.00 USD annually<br>
USA, MA, Boston - 132,100.00 - 178,800.00 USD annually<br>
USA, VA, Arlington - 132,100.00 - 178,800.00 USD annually<br>
USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually<br>
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer, PXT Central Science

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are looking for an experienced Enterprise Account Manager focused on the Fortune 1000 market segment. The ideal candidate has sales experience with a reputation for over-achieving quota by growing revenues in existing customers as well as penetrating new accounts. They should be a self-starter who is prepared to develop and execute against an account coverage plan and consistently deliver on revenue targets. The ideal candidate will possess both a sales and deep technical background that enables them to drive engagement at the CXO level as well as with software developers, IT architects, and other customer executives. This Account Manager will be an exceptionally strong analytical thinker who thrives in fast-paced and dynamic environments, with strong communication and presentation skills.
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Roles &amp; Responsibilities:
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<ul><li>Drive adoption in a defined set of accounts to meet or exceed revenue targets.</li><li>Develop and execute against a strategic plan that leads to the creation and maintenance of a robust sales pipeline including opportunities in existing accounts as well as driving net new business in untapped customers.</li><li>Manage numerous accounts concurrently and strategically</li><li>Create and articulate compelling value propositions around AWS.</li><li>Analyze sales data from your accounts to help evolve your strategy</li><li>Accelerate customer adoption through education and engagement</li><li>When appropriate, work with partners to manage joint selling opportunities</li><li>Assist customer in identifying use cases for priority adoption of Amazon Web Services as well as best practices implementations</li><li>Develop long-term strategic relationships with key accounts</li></ul><br>
Key job responsibilities<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the 8 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.
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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>
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Inclusive Team Culture<br>
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 (diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
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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.
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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 in the cloud.
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AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.<br>
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The AWS Industries team is committed to helping industry customers enable their digital transformation journeys. Our primary goal is to meet customers where they are in their cloud journey and work backwards from their industry specific needs to transform their business and their entire industry. Our team speaks the language of our industry customers, which means that we focus on business outcomes and industry use cases on behalf of our customers, whether that is how we build products and solutions, how we sell, how we deliver, or how we partner.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>11+ years of building and leading large teams and working in matrixed operating structures experience</li><li>1+ years of team leadership experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience building and cultivating relationships with internal and external stakeholders</li><li>Experience Experienced with end-to-end ownership of major project deliverables</li><li>Experience using customer insights and data to deeply understand target customers and dive deep</li><li>LP Role Model</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>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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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, restricted stock units (RSUs), and sales incentives. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Irvine - 92,400.00 - 160,000.00 USD annually<br>
USA, CA, San Diego - 92,400.00 - 160,000.00 USD annually<br>
USA, CA, San Francisco - 101,600.00 - 177,800.00 USD annually<br>
USA, CA, Santa Monica - 92,400.00 - 160,000.00 USD annually<br>
USA, WA, Seattle - 92,400.00 - 160,000.00 USD annually</div><p></p>

AWS Sr. Enterprise Account Manager, Financial Services, Insurance

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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.<br>
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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.<br>
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.
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Key job responsibilities<br>
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.<br>
Specific responsibilities include:<br>
<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><br>
About the team<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>
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.<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 in the cloud.<br>
<br>
Hybrid Work<br>
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"><b>
BASIC QUALIFICATIONS</b></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"><b>
PREFERRED QUALIFICATIONS</b></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><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Santa Clara - 157,300.00 - 212,800.00 USD annually<br>
USA, NY, New York - 153,400.00 - 207,500.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist, AWS Quick Data

Explore 273+ Big data support engineer smgs ops dp i data platform in Seattle this May. Find roles across top companies and apply now to boost your career.