business analyst, wwgs business and customer analytics

analytics data engineer

applied scientist, sales ai Jobs in Seattle

applied scientist, sales ai

aws data engineer

business analyst, wwgs business and customer analytics Jobs in Seattle

data analyst ii - inventory & seo growth Jobs in Seattle

data analyst ii - inventory & seo growth

data scientist

TikTok

<div></div><div><div>Seattle
<div></div>Regular
<div></div>Product - Data analysis
<div></div>Job ID: A152804
</div><div>Responsibilities</div>
<div>Team Intro The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We are looking for passionate and talented people to join our product and operations team, together we can build an e-commerce ecosystem that is innovative, secure and intuitive for our users. Responsibilities: - Work with large and complex datasets to solve a wide array of challenging problems using different analytical and statistical approaches - Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our E-commerce product - Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends - Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations - Develop data pipelines and dashboards to enhance data infrastructure - Develop ML models to find potential creators, measuring LTV of users, etc - Cooperate with PM/Ops/R&amp;D and other cross-functional teams to inform, influence, support, and execute product strategy and investment decisions</div>
<div>Qualifications</div>
<div>Minimum Qualifcations - Master degree or above, majoring in mathematics, statistics, computer science - Proficient in SQL, tableau and familiar with Python or R for modeling project - 3+ years of working experience in data science, machine learning - Effectively communicate and present results of data analyses to stakeholders to drive business impact Preferred Qualifications - Ecommerce experience - Self-driven, be able to work with cross-functional teams</div>
<div>Job Information</div>
<div><div>【For Pay Transparency】Compensation Description (Annually)<div><br>
<div><p>The base salary range for this position in the selected city is $136800 - $228000 annually.<br>
</p><p>Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.<br>
</p><p>Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).<br>
</p><p>The Company reserves the right to modify or change these benefits programs at any time, with or without notice.<br>
</p><p>For Los Angeles County (unincorporated) Candidates:<br>
</p><p>Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:<br>
</p><p>1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;<br>
</p><p>2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and<br>
</p><p>3. Exercising sound judgment.<br>
</p></div></div></div><div>About USDS<div><br>
<div><p>TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.<br>
</p><p></p><p>On-site presence across teams allows the company to operate with greater speed, alignment, and agility &mdash; especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.<br>
</p></div></div></div><div>Why Join Us<div><br>
<div><p>Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.<br>
</p><p>We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an &quot;Always Day 1&quot; mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br>
</p><p></p><p>Diversity &amp; Inclusion<br>
</p><p>TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.<br>
</p></div></div></div><div>USDS Reasonable Accommodation<div><br>
<div><p>USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA</p></div></div></div></div></div><p></p>

Data Scientist, Ecommerce - USDS

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you interested in shaping the future of Advertising and B2B Sales? We are a growing team with an exciting AI-first charter and need your passion, innovative thinking, and creativity to help take our products to new heights.<br>
<br>
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We break fresh ground in product and technical innovations every day!<br>
<br>
Within the Advertising Sales organization, we are building a central AI/ML team and are seeking top Applied Science talent to help us build new, science-backed services that drive success for our customers. Our goal is to transform the way account teams operate by creating actionable insights and recommendations they can share with their advertising accounts, and ingesting Generative AI throughout their end-to-end workflows to improve their work efficiency.<br>
<br>
As an Applied Scientist on the team, you will bring deep expertise in modeling dynamic systems using statistical methods and deep learning, and in optimizing those systems using reinforcement learning and operations research. You have the scientific and technical skills to build and refine models that can be implemented in production, and you leverage natural language processing and generative AI to enhance their explainability. You will chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers. You will be part of a team of fellow scientists and engineers taking iterative approaches to tackle big, long-term problems. You are fluently able to leverage the latest generative AI systems and services to accelerate and improve your work while maintaining high quality in your outputs.<br>
<br>
Key job responsibilities<br>
Scientific Modeling<br>
<ul><li>Conceptualize and lead state-of-the-art research on new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of the Ad Sales business</li><li>Lead the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects</li><li>Run regular A/B experiments, gather data, and perform statistical analysis</li><li>Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving</li><li>Publish scientific findings in reports and papers that can be shared internally and externally</li></ul>
Product Development Support<br>
<ul><li>Partner with software engineering and product management teams to support product and service development, define success metrics and measurement approaches, and help drive adoption of innovative new features for our services.</li><li>Lead requirements gathering sessions with product teams and business stakeholders</li><li>Maintain scientific documentation and knowledge for product initiatives</li></ul>
Collaboration &amp; Communication<br>
<ul><li>Work closely with software engineers to deliver end-to-end solutions into production</li><li>Translate complex scientific findings into actionable business recommendations for stakeholders and senior management</li><li>Provide clear, compelling reports and presentations on a regular basis with respect to your models and services</li><li>Communicate with internal teams to showcase results and identify best practices.</li></ul><br>
About the team<br>
Sales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state-of-the-art of AI/ML services. Sales AI is investing in a range of sales intelligence models, including the development of advertiser insights, recommendations and Generative AI-powered applications throughout account team workflows.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</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 - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Sales AI

<div></div><div><div>Seattle
<div></div>Regular
<div></div>R&amp;D
<div></div>Job ID: A183797
</div><div>Responsibilities</div>
<div>About the team The E-Commerce Risk Control team works to minimize the damage of inauthentic behaviors on Tiktok E-Commerce platforms, covering multiple classical and novel business risk areas such as account integrity, incentive abuse, malicious behaviors, brushing, click-farm, information leakage, etc. In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles. You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolution of a phenomenal product eco-system. The work needs to be fast, transferable, while still down to the ground to make quick and solid differences. Responsibilities: - Invent, implement, and deploy state-of-the-art machine learning algorithms, build prototypes, and explore entirely new conceptual solutions to address and mitigate business risks in TikTok e-commerce/platforms, including but not limited to fraudulent merchants, cheating influencers, malicious users, information security issues, and cross-domain risk challenges. - Utilize techniques such as representation learning, graph models, deep learning, transfer learning, and multi-task learning to improve the efficiency of problem detection, enabling rapid risk mitigation and optimizing various metrics of the e-commerce community ecosystem. - Monitor and attribute key metrics to promptly perceive changes in risk and business, proactively identify potential attacks, continuously optimize and adjust risk control strategies, and drive the development of risk governance and business model adjustments. - Mine and analyze massive e-commerce content and user behavior data to build both short-term and long-term user profiles, improving model accuracy and recall, as well as enhancing robustness, automation, and generalization capabilities. - Advance risk machine learning capabilities in privacy/compliance, interpretability, risk perception, and analysis; innovate models and algorithms tailored to the characteristics of content e-commerce, building an industry-leading content e-commerce risk control algorithm system.</div>
<div>Qualifications</div>
<div>Minimum Qualifications: - Master&rsquo;s degree in Computer Science, Mathematics, Machine Learning, or other relevant STEM fields. - 4+ years of hands-on experience building and delivering machine learning models for large-scale projects in internet companies. - Proficient in C++/Java/Python with strong coding skills, and familiarity with at least one common machine learning/deep learning platform. - Experience in e-commerce/internet companies in fraud or risk control roles, with a track record of building fraud detection, anomaly detection, or other risk control models using relevant algorithms. - Strong critical, objective, and thinking skills; able to reason and communicate in a results-oriented, data-driven manner with high autonomy. Preferred Qualifications: - PhD in Computer Science, Machine Learning, Statistics, Operations Research, or related fields. - 5+ years of hands-on experience in building and delivering large-scale risk control projects in internet/e-commerce companies, with proven success in large-scale anti-fraud data mining; strong coding (backend, infrastructure, algorithms) and system design skills. - Strong technical leadership combined with hands-on data mining and machine learning expertise; passionate about tackling TikTok&rsquo;s data scale and business complexity; able to identify, plan, and lead both quick-win tactics and long-term strategies, guiding teams to counteract malicious actors on the platform. - High sense of ownership, excellent communication and collaboration skills; able to end-to-end manage one or more critical, highly adversarial, constantly expanding, and cross-functional platform/community security business areas.</div>
<div>Job Information</div>
<div><div>【For Pay Transparency】Compensation Description (Annually)<div><br>
<div><p>The base salary range for this position in the selected city is $177688 - $341734 annually.<br>
</p><p>Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.<br>
</p><p>Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).<br>
</p><p>The Company reserves the right to modify or change these benefits programs at any time, with or without notice.<br>
</p><p>For Los Angeles County (unincorporated) Candidates:<br>
</p><p>Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:<br>
</p><p>1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;<br>
</p><p>2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and<br>
</p><p>3. Exercising sound judgment.<br>
</p></div></div></div><div>About USDS<div><br>
<div><p>TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.<br>
</p><p></p><p>On-site presence across teams allows the company to operate with greater speed, alignment, and agility &mdash; especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.<br>
</p></div></div></div><div>Why Join Us<div><br>
<div><p>Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.<br>
</p><p>We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an &quot;Always Day 1&quot; mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br>
</p><p></p><p>Diversity &amp; Inclusion<br>
</p><p>TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.<br>
</p></div></div></div><div>USDS Reasonable Accommodation<div><br>
<div><p>USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA</p></div></div></div></div></div><p></p>

Senior Machine Learning Engineer, E-Commerce Risk Control - USDS

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br>
<br>
Are you interested in shaping the future of entertainment? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe?<br>
<br>
As part of the Prime Video team, you&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. Also, you&rsquo;ll get to experiment with new possibilities, take risks, and collaborate with remarkable people.<br>
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented creatives, technologists, marketing professionals and so much more, you can decide where a career with Prime Video takes you!<br>
<br>
We are seeking a highly skilled and technically adept Data Engineer to join our PVA Data Engineering team. In this role, you will design, build, and maintain scalable, fault-tolerant data pipelines and infrastructure to support data-driven insights. Leveraging native AWS technologies and Amazon&rsquo;s internal tools, you will handle data ingestion, transformation, integration, and ensure high standards of data quality through validation, cleansing, and deduplication.<br>
<br>
You will also be responsible for architecting high-performance, scalable, and cost-efficient big data processing and storage solutions, automating infrastructure with CI/CD principles, and optimizing data models to drive efficient ETL processes. You will be interfacing with several key services and APIs, write code and build applications in a scalable manner to extract, process, ingest unstructured data in a streaming, batch and asynchronous fashion.<br>
<br>
Your role will also focus on data governance, ensuring compliance with policies, implementing access controls, encryption, retention, and audit mechanisms. Additionally, you will work on continuous improvement by automating processes and adopting the latest data engineering technologies. Collaboration with Data Scientists, Business Intelligence Engineers (BIEs), Software Development Engineers (SDEs), Product Managers (PMs), and functional managers will be key to delivering tailored data solutions.<br>
<br>
You'll also manage diverse technologies such as Python, EMR, Spark, Iceberg, Airflow, and many AWS data services like Glue, Athena, Redshift to build a scalable platform that supports analytics and experimentation. The ideal candidate must be customer-obsessed with a passion for advertising, able to synthesize a variety of technologies, and effectively lead complex projects.<br>
<br>
In this position, your attention to detail and dedication to high-quality, well-documented data products will empower stakeholders to make better, data-driven decisions.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and implement scalable, fault-tolerant data pipelines using AWS technologies and internal Amazon tools to extract, transform, and load data from multiple sources.</li><li>Collaborate cross-functionally with BIEs, Data Scientists, PMs, and SDEs to understand data requirements and deliver customized data solutions.</li><li>Automate infrastructure deployment with CI/CD pipelines and ensure streamlined processes for deployment and maintenance.</li><li>Ensure data quality through robust validation, cleansing, and deduplication techniques.</li><li>Implement data governance standards, including access control, encryption, data retention, deletion policies, and audit mechanisms to ensure compliance and security.</li><li>Continuously improve and optimize data pipelines and infrastructure, staying up to date with emerging technologies and implementing automation and monitoring tools.</li><li>Build a scalable and reliable data platform supporting analytics and experimentation for intuitive, self-service data products.</li><li>Write high quality code and build scalable applications that interface with critical services and APIs to extract and process unstructured data</li><li>Work with a range of data technologies, including Python, EMR, Spark, Iceberg, Airflow, and many AWS data services like Glue, Athena, Redshift to create end-to-end pipelines that consolidate data from disparate systems.</li></ul><br>
About the team<br>
Prime Video Advertising - Data Engineering(&ldquo;PVA-DE&rdquo;) team is a central data and analytics team within the PV-Ads org that plays a pivotal role in fueling the worldwide growth of Amazon&rsquo;s video advertising business. We own data platform, reporting, dashboards, measurement, and analytical solutions for PV Ads.</div><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 II, Prime Video Advertising

Amazon

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 WW Pricing drives the success of Amazon Retail and 3P Pricing. We build software that makes billions of monthly pricing recommendations on our marketplaces. We earn our customers' trust by consistently delivering the lowest prices possible: we price and publish prices automatically for the millions of products bought worldwide every day by our customers.
 <br/>
 <br/>
 You will be joining WW Pricing Data &amp; Analytics team which consists of several Data Engineers and Business Intelligence Engineers.
 <br/>
 <br/>
 As a Data Engineer, you will create data models and ML data infrastructure that power our pricing algorithms and shape both customer and seller experiences. You'll develop essential data flows that keep our systems running smoothly while uncovering valuable insights that drive customer and seller success. You'll be developing GenAI based solutions to improve the operational and reporting efficiency.
 <br/>
 <br/>
 This job is for you if you are passionate about working with the largest and most complex data to optimize service performance. You will own the models and processes for collecting and transforming data, and work within the Pricing software engineering teams to drive the resulting business initiatives. You will learn the customer's intentions, and support us in understanding them as we take our business to the next level.
 <br/>
 <br/>
 Key job responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Architecture design and implementation of next generation data pipelines and BI solutions
  </li>
  <li>
   Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
  </li>
  <li>
   Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
  </li>
  <li>
   Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
  </li>
  <li>
   Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of data engineering experience
  </li>
  <li>
   1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
  </li>
  <li>
   1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
  </li>
  <li>
   1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
  </li>
  <li>
   1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
  </li>
  <li>
   1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
  </li>
  <li>
   Experience with data modeling, warehousing and building ETL pipelines
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
  </li>
  <li>
   Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
   <br/>
   <br/>
  </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 <br/>
 <br/>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 <br/>
 <br/>
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 <br/>
 <br/>
 USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually
 <br/>
 <br/>
 <br/>
 <strong>
  Company
 </strong>
 - Amazon.com Services LLC
 <br/>
 <br/>
 Job ID: A10433467
</div>


Data Engineer, WW Pricing - Data & Analytics

Weyerhaeuser

<div>
 <strong>
  About Weyerhaeuser
  <br/>
  <br/>
 </strong>
 At Weyerhaeuser, we are the world&rsquo;s premier timber, land, and forest products company. Sustainability is the founding concept of our business and our values drive every decision to ensure we continue to lead the forestry industry in sustainability practices. And we know about sustainability &ndash; we led it in the forestry industry when we planted our first seedling by hand in 1938. We recognize that our success is dependent on the success of our people. For over 125 years, our Weyerhaeuser team has been making a difference in the world &ndash; from the seedlings we plant, to the forests and trees we nurture, we ensure every acre is managed with diligence, patience and pride. That&rsquo;s the Weyerhaeuser way.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Weyerhaeuser&rsquo;s Data &amp; Analytics team is looking for a Data Engineer to build and operate the data platform that powers reporting, analytics, and AI across the enterprise. This hands-on role focuses on building scalable, reliable, well-governed pipelines that move data. We invest heavily in template- and metadata-driven patterns, so onboarding a new source is a configuration exercise, not a net-new build.
 <br/>
 <br/>
 We expect engineers to use AI as a force multiplier &mdash; both in how we build the platform (LLM-assisted development, testing, and documentation) and in what we deliver from it (AI-ready data products grounded in well-modeled sources). This role partners closely with source-system owners, analytics engineers, data scientists, and data analysts. It&rsquo;s well suited for someone who thrives in a fast-paced environment, has strong opinions about data quality and pipeline reliability, and is energized by building scalable foundations rather than one-off integrations.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Ingestion &amp; Integration
 <br/>
 <br/>
 <ul>
  <li>
   Design and maintain ingestion pipelines that move data from SAP, relational databases, flat files, REST APIs, message queues, and SaaS applications into our data lake/Snowflake.
  </li>
  <li>
   Extend our metadata-driven and template-driven ADF pipeline frameworks so onboarding a new source is a configuration exercise &mdash; schema mapping, validation, and config, not handwritten pipelines.
  </li>
  <li>
   Develop Python-based Azure Functions for custom ingestion logic, REST API integrations, paging/retry handling, and schema reconciliation.
  </li>
  <li>
   Implement reliable full and incremental data load patterns &mdash; watermarking, CDC, late-arriving data, and replayable backfills.
   <br/>
   <br/>
  </li>
 </ul>
 Modeling &amp; Transformation
 <br/>
 <br/>
 <ul>
  <li>
   Land and preserve history of raw data in the Azure data lake or Snowflake (bronze), then build dbt models that conform, deduplicate, standardize, and enrich it into clean silver datasets.
  </li>
  <li>
   Partner with analytics engineers and data analysts to build dimensional models and semantic views that enable AI-ready datasets.
   <br/>
   <br/>
  </li>
 </ul>
 Orchestration &amp; Reliability
 <br/>
 <br/>
 <ul>
  <li>
   Orchestrate end-to-end workflows in Azure Data Factory &mdash; dependencies, parameterization, retries, dynamic parallelism, and error handling for complex multi-source pipelines.
  </li>
  <li>
   Build monitoring, alerting, and own incident response &mdash; triage, root-cause analysis, and backfills, including occasional off-hours coverage for critical loads.
  </li>
  <li>
   Tune pipelines and Snowflake workloads for performance and cost
   <br/>
   <br/>
  </li>
 </ul>
 Data Quality, Security &amp; Governance
 <br/>
 <br/>
 <ul>
  <li>
   Implement data quality rules &mdash; schema validation, completeness, freshness, business-rule checks, and anomaly detection &mdash; wired into pipelines.
  </li>
  <li>
   Apply security and compliance best practices and contribute to lineage, metadata, and catalog efforts.
   <br/>
   <br/>
  </li>
 </ul>
 Platform &amp; Engineering Practices
 <br/>
 <br/>
 <ul>
  <li>
   Partner with Data Platform Engineers on Terraform-managed cloud resources, and CICD pipelines.
  </li>
  <li>
   Drive engineering best practices &mdash; version control, testing, documentation, observability, and document pipelines, schemas, contracts, and runbooks so the platform is supportable by the broader team.
  </li>
  <li>
   Mentor junior engineers, contribute to design reviews, and help evaluate new tools and patterns. Contribute to code reviews.
   <br/>
   <br/>
  </li>
 </ul>
 AI Enablement
 <br/>
 <br/>
 <ul>
  <li>
   Skilled in the use of AI assistants and LLM-powered tools to accelerate development, generate and improve tests, and produce or maintain documentation.
   <br/>
   <br/>
  </li>
 </ul>
 Collaboration
 <br/>
 <br/>
 <ul>
  <li>
   Partner with analytics engineers, data analysts, and data scientists to translate requirements into reliable raw data pipelines they can model into downstream products.
  </li>
  <li>
   Communicate technical concepts and trade-offs clearly to both technical and non-technical audiences.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job
  <br/>
  <br/>
 </strong>
 Information Technology
 <br/>
 <br/>
 <strong>
  Primary Location
  <br/>
  <br/>
 </strong>
 USA-WA-Seattle
 <br/>
 <br/>
 <strong>
  Schedule
  <br/>
  <br/>
 </strong>
 Full-time
 <br/>
 <br/>
 <strong>
  Job Level
  <br/>
  <br/>
 </strong>
 Individual Contributor
 <br/>
 <br/>
 <strong>
  Job Type
  <br/>
  <br/>
 </strong>
 Experienced
 <br/>
 <br/>
 <strong>
  Shift
  <br/>
  <br/>
 </strong>
 Day (1st)
 <br/>
 <br/>
 <strong>
  Relocation Assistance
  <br/>
  <br/>
 </strong>
 Available
 <br/>
 <br/>
 What You&rsquo;ll Have
 <br/>
 <br/>
 <strong>
  Required
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering
  </li>
  <li>
   4+ years of hands-on data engineering experience building and operating production data pipelines.
  </li>
  <li>
   Strong proficiency in SQL (including performance tuning) and Python (readable, testable, maintainable code).
  </li>
  <li>
   Production experience with a cloud-based ingestion and orchestration platform &mdash; Azure Data Factory and Azure Functions preferred, though comparable tools (Fabric Pipelines, AWS Glue/Step Functions, Airflow, Dagster, Prefect, etc.) are acceptable &mdash; including parameterized, dynamic, and metadata-driven pipeline patterns.
  </li>
  <li>
   Production experience with dbt or a comparable transformation framework, including building and choosing across materialization patterns (views, tables, incremental, ephemeral, snapshots), test coverage, documentation, and history preservation.
  </li>
  <li>
   Production experience with Snowflake or similar data platform: loading patterns, role-based access, performance tuning, and cost-aware design.
  </li>
  <li>
   Demonstrated experience ingesting from a variety of sources: relational databases, SAP, flat files, REST APIs (JSON/XML), and SaaS applications.
  </li>
  <li>
   Experience implementing incremental/delta load patterns and managing watermarking, CDC, schema evolution, and backfills.
  </li>
  <li>
   Working knowledge of Terraform for provisioning Azure and/or Snowflake resources.
  </li>
  <li>
   Solid understanding of data quality, monitoring, alerting, and operational support practices.
  </li>
  <li>
   Working proficiency with Git, pull-request workflows, and CI/CD pipelines for data &mdash; code review, automated testing, and promotion across environments are part of how you ship.
  </li>
  <li>
   AI in your engineering workflow &mdash; demonstrated use of AI assistants and LLM-powered tools to accelerate development, generate and improve tests, and produce or maintain documentation.
  </li>
  <li>
   Track record of owning reliability &mdash; not just shipping features, but keeping data flowing cleanly over time.
  </li>
  <li>
   Strong communication skills and the ability to work cross-functionally with engineering, analytics, and business teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure or familiarly working with geo-spatial datasets and using geo-spatial functions
  </li>
  <li>
   Exposure or familiarity with Iceberg table structures and operations
  </li>
  <li>
   Experience designing reusable, config-driven ingestion frameworks at scale.
  </li>
  <li>
   Exposure to streaming or near-real-time ingestion (Event Hubs, Kafka, or similar).
  </li>
  <li>
   Familiarity with data governance, lineage, and catalog tooling.
  </li>
  <li>
   Experience with BI tools such as Power BI in a downstream/consumer context.
  </li>
  <li>
   Experience working with manufacturing, supply chain, or forestry/natural-resources data domains.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location:
 </strong>
 This role will be based out of our corporate office in Seattle, WA.
 <br/>
 <br/>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $98,811-$148,217 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 10% of base pay. Potential plan funding may range from zero to two times that target.
 <br/>
 <br/>
 <strong>
  Benefits:
 </strong>
 When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career.
 <br/>
 <br/>
 <strong>
  Retirement:
 </strong>
 Employees are able to enroll in our company&rsquo;s 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary.
 <br/>
 <br/>
 <strong>
  Paid Time Off or Vacation:
 </strong>
 We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees.
 <br/>
 <br/>
 <em>
  Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
 </em>
</div>


Data Engineer

Providence

<div><p><b>Description
</b></p><p><b>Role summary
</b></p><p>Data Engineer I is responsible for designing and developing modern, data-centric applications that support clinical and operational workflows across the healthcare system. These solutions leverage cloud technologies, big data platforms, data science methodologies, and contemporary software development frameworks.
</p><p>Key responsibilities include building scalable data pipelines, transformation and enrichment processes, provisioning layers, and intuitive user interfaces aligned with strategic initiatives. This role also involves mentoring junior Data Engineers and contributing to the research and adoption of emerging technologies to establish repeatable processes and templates.
</p><p>Collaboration is a core value, with a strong emphasis on thorough source control and documentation. The ideal candidate approaches complex challenges with simplicity, utilizing modern tools and techniques to deliver efficient solutions.
</p><p>This position works closely with Product, Platform, and Architecture teams to ensure alignment and successful delivery of joint initiatives.
</p><p>In this role you will own the reliability, security, and cost-efficiency of Providence&rsquo;s enterprise data platform. You will automate and monitor production pipelines, resolve incidents and partner with engineering and analytics teams to meet strict SLAs.
</p><p><b>What you&rsquo;ll own
</b></p><ul><li>Automation and monitoring batch/streaming ELT/ETL pipelines across cloud services and Snowflake; keep data fresh and
</li></ul><p>accurate.
</p><ul><li><p>Triaging failures, performing root-cause analyses and post-mortems, and continuously reducing MTTR.
</p></li><li><p>Orchestrating schedules and dependencies (e.g., Ctrl-M) and managing connectors (in Fivetran/HVR).
</p></li><li><p>Building operational automation with SQL, Python, and shell (Bash/PowerShell) on Linux.
</p></li><li><p>Implementing observability: logging, alerting, data-quality checks, audits, and runbooks.
</p></li><li><p>Optimizing Snowflake performance and spend (warehouses, caching).
</p></li><li><p>Enforcing access controls and secrets management, supporting compliance and audit needs.
</p></li><li><p>Partnering with product/analytics teams; documenting procedures and providing reliable on-call support (rotational).
</p></li></ul><p><b>Essential Skills
</b></p><ul><li><p>Strong SQL, plus hands-on Python and shell scripting (Bash/PowerShell) on Linux.
</p></li><li><p>Experience with cloud computing and data warehousing on relational platforms.
</p></li><li><p>Solid understanding of OLAP/dimensional modeling and RDBMS fundamentals.
</p></li><li><p>Knowledge of semi/unstructured data (JSON/Parquet) and API integrations.
</p></li><li><p>Familiarity with open-source ELT/ETL tooling.
</p></li><li><p>Git-based workflows and CI/CD basics for data deployments.
</p></li><li><p>Experience building and managing data ingestion pipelines from multiple sources into cloud data platforms.
</p></li><li><p>Working knowledge of Snowflake, including database objects, warehouses, and basic query optimization.
</p></li></ul><p><b>Nice to have
</b></p><ul><li><p>Snowflake administration experience (account management, RBAC, resource monitors, storage/warehouse configuration, network policies).
</p></li><li><p>Fivetran and/or HVR (Fivetran HVR) experience or equivalent CDC/replication tools.
</p></li><li><p>Snowflake operations expertise (performance tuning, Streams/Tasks, Snowpark), plus knowledge of Snowflake AI features.
</p></li><li><p>Streamlit for lightweight internal apps and operational dashboards.
</p></li><li><p>Experience with enterprise schedulers (e.g., Ctrl-M) and data-quality/observability platforms.
</p></li><li><p>Background in regulated environments (e.g., healthcare/HIPAA) and service management (e.g., ServiceNow).
</p></li></ul><p>W <b>e are accepting applications from candidates who reside within 65 miles of:
</b></p><ul><li><p>Renton, Redmond, or Seattle, WA
</p></li><li><p>Portland, OR
</p></li><li><p>Napa or Irvine, CA
</p></li><li><p>Lubbock, TX
</p></li></ul><p><b>Required Qualifications:
</b></p><ul><li><p>Bachelor&rsquo;s in CS/Engineering or equivalent experience; senior-level hands-on ownership of production data operations.
</p></li><li><p>1 or more year of related experience in Snowflake, CTRL-M, and ADF.
</p></li></ul><p><b>Preferred Qualifications:
</b></p><ul><li>Master's degree in computer engineering, Computer Science, Mathematics, Engineering, or an equivalent combination of education and experience
</li></ul><p><b>Salary Range by Location:
</b></p><p>California: All Northern California - Except Humboldt: Min: $52.79, Max: $81.94
</p><p>California: All Southern California - Except Bakersfield: Min: $47.05, Max: $73.04
</p><p>Oregon: Portland Service Area: Min: $45.14, Max: $70.07
</p><p>Texas: Min: $34.43, Max: $53.44
</p><p>Washington: Western: Min: $47.05, Max: $73.04
</p><p><b>Why Join Providence?
</b></p><p>Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security. We take care of you, so you can focus on delivering our Mission of caring for everyone, especially the most vulnerable in our communities.
</p><p>Accepting a new position at another facility that is part of the Providence family of organizations may change your current benefits. Changes in benefits, including paid time-off, happen for various reasons. These reasons can include changes of Legal Employer, FTE, Union, location, time-off plan policies, availability of health and welfare benefit plan offerings, and other various reasons.
</p><p><b>About Providence
</b></p><p>At Providence, our strength lies in Our Promise of &ldquo;Know me, care for me, ease my way.&rdquo; Working at our family of organizations means that regardless of your role, we&rsquo;ll walk alongside you in your career, supporting you so you can support others. We provide best-in-class benefits and we foster an inclusive workplace where diversity is valued, and everyone is essential, heard and respected. Together, our 120,000 caregivers (all employees) serve in over 50 hospitals, over 1,000 clinics and a full range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington. As a comprehensive health care organization, we are serving more people, advancing best practices and continuing our more than 100-year tradition of serving the poor and vulnerable.
</p><p>Posted are the minimum and the maximum wage rates on the wage range for this position. The successful candidate's placement on the wage range for this position will be determined based upon relevant job experience and other applicable factors. These amounts are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.
</p><p>Providence offers a comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching, health care benefits (medical, dental, vision), life insurance, disability insurance, time off benefits (paid parental leave, vacations, holidays, health issues), voluntary benefits, well-being resources and much more. Learn more at providence.jobs/benefits.
</p><p>Applicants in the Unincorporated County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Unincorporated Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
</p><p><b>Requsition ID: </b>435996
<br>
<b>Company: </b>Providence Jobs
<br>
<b>Job Category: </b>Development/Engineering
<br>
<b>Job Function: </b>Information Technology
<br>
<b>Job Schedule: </b>Full time
<br>
<b>Job Shift: </b>Multiple shifts available
<br>
<b>Career Track: </b>Business Professional
<br>
<b>Department: </b>4011 SS IS HI DP 3
<br>
<b>Address: </b>WA Renton 1801 Lind Ave SW
<br>
<b>Work Location: </b>Providence Valley Office Park-Renton
<br>
<b>Workplace Type: </b>Remote
<br>
<b>Pay Range: </b>$See Posting - $See Posting
<br>
The amounts listed are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.</p></div>

Data Engineer I IS - Remote

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