aiml - applied ml engineer, data generation & verification

civil engineer – data centers & industrial facilities

category management project intern (tiktok shop - operation center) - 2026 start (bs/ms)

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

aiml - applied ml engineer, data generation & verification Jobs in Seattle

assistant project engineer (wms2) Jobs in Seattle

assistant project engineer (wms2)

aws data engineer

civil engineer – data centers & industrial facilities Jobs in Seattle

ai engineer

Tata Consultancy Services

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

Cloud Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you ready to lead innovations that impact millions of Amazon customers? Do you want to pioneer solutions in an unexplored space? If yes, we have an exciting opportunity for you! 
 
The ARCADE Science and Analytics team needs a Business Intelligence Engineer (BIE) to drive our analytical solutions. This team supports Multichannel Fulfillment (MCF), Amazon Supply Chain Solutions (ASCS), and Buy with Prime (BwP) businesses. We seek a BIE who will identify business opportunities through data-driven insights, create predictive models for supply chain optimization, and analyze customer behavior patterns. 
 
The ideal candidate will build and deploy analytical solutions at scale while collaborating with cross-functional teams. You should have statistical analysis expertise, proficiency in SQL and Python, and experience with data visualization. Your technical skills should be complemented by a good understanding of business metrics and KPIs. 
 
Industry experience in eCommerce, transportation, finance, retail technology, or logistics is preferred. Join our team of engineers and data scientists to transform how Amazon serves its customers through data-driven decisions.
 
 
Key job responsibilities 
<ul><li>Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.</li><li>Work with PMs in understanding the business requirements and implementing solutions to support analytics and reports.</li><li>Conduct ad hoc data analysis and data quality investigations.</li><li>Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve reporting tools.</li><li>Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.</li><li>Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis</li><li>Analysis of historical data to extract meaningful insights and learnings from large and complicated data sets identify trends and support decision making, including written and verbal presentation of results and recommendations</li><li>Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models</li><li>Understanding of Amazon&rsquo;s data resources, which to use, how, and when</li></ul> 
About the team 
Amazon's Multichannel Commerce and Fulfillment (MCCF) is transforming global retail. We enable entrepreneurs worldwide to reach customers through any sales channel they choose. Through Multichannel Fulfillment (MCF), sellers can efficiently manage and fulfill orders across their sales channels. 
 
Buy with Prime extends Prime benefits beyond Amazon.com, offering fast, free shipping, seamless checkout, and free returns on merchants' own online stores. This innovation increases product selection for Prime members while helping merchants boost their sales. 
 
For over two decades, Amazon has empowered small and medium-sized businesses to grow. MCCF represents our next evolution in supporting merchants of all sizes&mdash;both on and off Amazon's platform.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)</li><li>Experience with scripting language (e.g., Python, Java, or R)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree, or Advanced technical degree</li><li>Knowledge of data modeling and data pipeline design</li><li>Experience with statistical analysis, co-relation analysis</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 82,300.00 - 144,000.00 USD annually</div>

Business Intel Engineer, Multi Channel Fulfillment

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Cloud Data Engineer

Business Intel Engineer, Multi Channel Fulfillment