aiml - applied ml engineer, data generation & verification

aiml - sr backend engineer, data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

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

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

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

aws data engineer

data engineer

MacDonald-Miller Facility Solutions

<div>
 
 At MacDonald-Miller Facility Solutions
 
 ("MacMiller") we make buildings work better. As the Northwest's leading mechanical contracting firm, we design, deliver and service HVAC, plumbing and automation system solutions for commercial buildings. With over 1,600 employees across 14 offices - there is a breadth and variety of work to keep you engaged and inspired.
 
 
 We enjoy a well-respected history of exceeding our customers' expectations and executing with distinction. Our clients trust their toughest projects with our integrated teams, including:
 
 
 <ul>
 <li>
 New construction - Engineering, fabrication and install of mechanical systems for new projects following lean construction practices
 </li>
 <li>
 Special projects - Retrofits and mechanical repairs for existing buildings for new efficiencies
 </li>
 <li>
 Service - scheduled preventative maintenance ensuring tenant comfort, and 24/7 emergency response
 </li>
 <li>
 Building performance - Control systems, fault detection, energy services and remote monitoring
 </li>
 <li>
 Energy and Sustainable Solutions - Acting as the Prime Contractor, we deliver design-build energy-efficient solutions in the built environment for private and public sector clients
 
 
 </li>
 </ul>
 People love to work at MacDonald-Miller, and it's because we all share the same Core Culture Values:
 
 
 <ul>
 <li>
 Collaboration- Diverse players, one team, a common vision. Collaboration is our foundation and critical to the success of the company. Every team member is valued and brings a diversity of strengths to help us meet our common vision
 </li>
 <li>
 Dedication - We are dedicated to personal and professional excellence. We execute with distinction by doing the right thing and following through on our commitments
 </li>
 <li>
 Safety - Everyone deserves a safe workplace. Safety is more than hardhats and boots, it's an attitude and the environment we create. Every day, everyone goes home to their families
 </li>
 <li>
 Community- We are proud to be part of MacDonald-Miller. We actively seek to build relationships and know each other as individuals. Together we create an environment that is welcoming, caring, and trusting
 </li>
 <li>
 Innovation - We are committed to continuous, creative problem solving. Innovation is how we stay an industry leader. We always strive to challenge and better ourselves
 </li>
 <li>
 Fun! - Take the work seriously, but never taking ourselves too seriously. It's possible to be both serious professionals and good-natured people you enjoy working with. We strive to be both
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Data Engineer
 
 
 
 
 This is where you come in.
 
 
 
 MacDonald-Miller is looking for a Data Engineer to join our IT team and help build the data platform that powers our business. This hands-on role focuses on three core areas:
 
 
 <ul>
 <li>
 Developing integrations between our ERP and other enterprise systems
 </li>
 <li>
 Building Power BI reports and semantic models that drive business decisions
 </li>
 <li>
 Contributing to our Microsoft Fabric data warehouse
 
 
 </li>
 </ul>
 You'll partner with IT, business leaders, and implementation partners to ensure data flows reliably across systems and is accessible, accurate, and actionable. As a Microsoft-focused organization investing heavily in Fabric, you'll have the opportunity to help shape the future of our data platform.
 
 
 
 Who You Are
 
 
 
 <ul>
 <li>
 You take ownership of outcomes, not just tasks
 </li>
 <li>
 You're curious about both technology and the business problems it solves
 </li>
 <li>
 You're a self-starter who thrives in a fast-paced environment with minimal supervision
 </li>
 <li>
 You actively leverage AI tools such as Copilot, ChatGPT, and Claude to improve productivity, documentation, and development
 </li>
 <li>
 You communicate effectively with both technical and non-technical audiences
 
 
 </li>
 </ul>
 
 What you'll own
 
 
 
 
 Systems Integrations
 
 
 
 Design, build, and support integrations between ERP, payroll, field service, HR, and other enterprise systems using APIs, webhooks, middleware, and database connections.
 
 
 
 Data Platform &amp; Warehousing
 
 
 
 Contribute to the architecture, pipelines, data modeling, and ongoing development of our Microsoft Fabric data warehouse.
 
 
 
 Reporting &amp; Analytics
 
 
 
 Develop Power BI reports and semantic models that provide reliable, actionable insights for business stakeholders.
 
 
 
 Data Quality &amp; Governance
 
 
 
 Implement monitoring, logging, documentation, and validation processes to ensure data accuracy, reliability, and sustainability.
 
 
 
 Continuous Improvement
 
 
 
 Identify opportunities to automate processes, improve performance, and enhance the overall data ecosystem.
 
 
 
 First-Year Priorities
 
 
 
 As MacDonald-Miller transitions to a new ERP platform, this role will be critical to the success of that implementation. Key objectives include:
 
 
 <ul>
 <li>
 Designing and building integrations between the new ERP and enterprise systems
 </li>
 <li>
 Bringing ERP data into Microsoft Fabric and creating scalable data models
 </li>
 <li>
 Migrating and redesigning Power BI reports to support the new environment
 </li>
 <li>
 Leveraging AI tools to accelerate development, documentation, and data analysis
 
 
 </li>
 </ul>
 This is a unique opportunity to help build the foundation of our enterprise data platform while gaining broad exposure across the business.
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Strong SQL skills, including complex queries, stored procedures, and performance optimization
 </li>
 <li>
 Experience with Microsoft Fabric, Azure Data Factory, or related Azure data technologies
 </li>
 <li>
 Experience designing data warehouses and dimensional data models
 </li>
 <li>
 Experience building integrations using REST/SOAP APIs, webhooks, middleware, or database connections
 </li>
 <li>
 Experience developing ETL/ELT processes and data transformation workflows
 </li>
 <li>
 Experience creating Power BI reports and semantic models
 </li>
 <li>
 Knowledge of JSON, XML, CSV, and other common data formats
 </li>
 <li>
 Experience implementing monitoring, error handling, and support processes for production systems
 </li>
 <li>
 Strong communication, documentation, and stakeholder management skills
 </li>
 <li>
 Active use of AI tools in day-to-day engineering work
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience integrating ERP, Payroll, HRIS, or Field Service Management systems
 </li>
 <li>
 Experience supporting ERP implementations or large-scale system migrations
 </li>
 <li>
 Experience with Python, PowerShell, or C#
 </li>
 <li>
 Familiarity with event-driven architectures, message queues, or integration platforms
 </li>
 <li>
 Experience with Git and CI/CD practices
 </li>
 <li>
 Exposure to ETL tools such as SSIS, Informatica, Boomi, or MuleSoft
 
 
 </li>
 </ul>
 
 Everyone you work with should describe you as...
 
 
 
 <ul>
 <li>
 Highly collaborative with strong communication skills
 </li>
 <li>
 Passionate and solution-oriented
 </li>
 <li>
 Self-motivated with a high level of initiative
 </li>
 <li>
 An exceptional problem solver
 
 
 </li>
 </ul>
 
 You should be motivated by...
 
 
 
 Learning and figuring things out independently
 
 
 Working in a lean, results-oriented environment with significant ownership
 
 
 Building solutions that have a direct impact on the business
 
 
 Having fun in a transparent, innovative, and supportive culture
 
 
 
 Benefits
 
 
 
 
 Compensation:
 
 Base rate of $90,000-$117,000
 
 
 
 MacDonald-Miller Facility Solutions presently provides employee coverage for:
 
 
 
 <ul>
 <li>
 Medical, dental, vision for employees (coverage available for dependents for shared premium).
 </li>
 <li>
 401k retirement plan including Company matching.
 </li>
 <li>
 Vacation and Sick Compensation (PTO), and Holiday Pay!
 </li>
 <li>
 Disability income protection including short term and long-term disability.
 </li>
 <li>
 Employee and dependent life insurance.
 </li>
 <li>
 Wellness Program.
 </li>
 <li>
 Employee Assistance Program.
 
 
 </li>
 </ul>
 
 Where you will work
 
 
 
 Our Seattle HQ office (17930 International Blvd, SeaTac, WA 98188) has easy access to the SeaTac International Airport, ample secured parking, and newly renovated office facilities - not to mention great views! Neighborhood amenities include an onsite deli, restaurants, and convenient freeway/airport access.
 
 This is a hybrid position, and you will be expected to work from the office 2-3 days/week or more as needed.
 
 
 
 
 Interested in learning more?
 
 
 
 If you're ready for an adventure and are interested in being considered for this role, click apply to start the conversation! Or if you know someone who currently works at MacDonald-Miller, reach out to them to get introduced to the team!
 
 
 
 MacDonald-Miller Facility Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
 
</div>

Data 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

Ernest Talent

Location: Seattle, WA (Hybrid &ndash; 3 Days Onsite) Duration: Long-Term Contract (12+ Months) Work Authorization: U.S. Citizen or Green Card Holder or EADAbout the RoleWe are seeking an experienced AWS Data Engineer to help build and scale modern cloud-based data platforms that power business intelligence, analytics, and machine learning initiatives. This is an excellent opportunity to work on large-scale data processing solutions, optimize data pipelines, and contribute to a growing data ecosystem built on AWS.You'll work alongside data architects, analysts, and data scientists to design reliable, high-performance data solutions that drive critical business decisions.What You'll Be Doing<ul><li>Design, develop, and optimize scalable ETL/ELT pipelines using AWS-native services</li><li>Build and maintain cloud-based data lake and data warehouse solutions supporting analytics and reporting workloads</li><li>Develop robust data integration frameworks using Python and PySpark</li><li>Design and optimize Amazon Redshift data models and query performance</li><li>Implement data quality, monitoring, and observability solutions across the data platform</li><li>Collaborate with data scientists to operationalize machine learning datasets and feature pipelines</li><li>Improve data governance, security, and compliance practices across AWS environments</li><li>Support automation initiatives and drive continuous improvements in data processing performance and reliability</li><li>Manage software asset, entitlement, and licensing data workflows through ServiceNow integrations</li></ul>What We're Looking For<ul><li>5+ years of Data Engineering experience building enterprise-scale data solutions</li><li>3+ years of hands-on AWS experience in production environments</li><li>Strong expertise in Python, SQL, and data modeling</li><li>Experience with AWS Glue, Redshift, Lambda, S3, Step Functions, and related AWS services</li><li>Strong understanding of ETL/ELT architecture, data integration patterns, and workflow orchestration</li><li>Hands-on experience with Apache Spark and PySpark</li><li>Experience optimizing large datasets for performance, scalability, and cost efficiency</li><li>Knowledge of data governance, security controls, IAM, encryption, and data lifecycle management</li></ul>Nice to Have<ul><li>AWS Certified Data Analytics &ndash; Specialty or related AWS certifications</li><li>Experience supporting machine learning and advanced analytics workloads</li><li>Familiarity with Airflow, Databricks, Snowflake, or modern data platform technologies</li><li>Experience working in Agile development environments</li></ul>Pay: $72.00 - $80.00 per hourWork Location: In person

AWS Data Engineer (Glue / Redshift / Python)

TikTok USDS Joint Venture

<div>
 
 Responsibilities
 
 
 About the team:
 
 The E-commerce Risk Control and Security team is dedicated to protect TikTok Shop from fraudulent activities and user abuses, ensuring a trustworthy and user-friendly marketplace for buyers, sellers, and creators. As a global team, we are developing and managing foundational platforms including the risk decision engine, enforcement framework, and model &amp; graph platforms. These systems are tackling some of the highest throughput challenges across Global E-commerce.
 
 
 Responsibilities:
 
 - Be responsible for end-to-end data analysis projects in the e-commerce security field, including collecting, cleaning, and transforming e-commerce security-related data (such as transaction logs, user behavior data, abnormal order data, and fraud records), perceive and identify security risks from it, promote the implementation of data-driven e-commerce security solutions, and have the ability to implement and execute solutions in the production environment.
 
 - Monitor and analyze e-commerce security data trends, including information leakage, malicious crawling of commodity/price data, etc.; identify data anomalies, potential security risks and optimization directions, improve the security of the e-commerce platform, and protect the rights and interests of users and merchants.
 
 - Be responsible for data-based diagnosis of e-commerce security issues, use statistical methods and data mining technologies to conduct root cause analysis on e-commerce security pain points, and provide implementable security solutions to support e-commerce security decision-making.
 
 - Collaborate deeply with e-commerce business teams, product teams, security teams and engineering teams, understand e-commerce security needs, convert them into e-commerce security data analysis tasks, and design and deliver scalable data analysis solutions to solve complex e-commerce security challenges.
 
 
 
 Qualifications
 
 
 Minimum Qualifications:
 
 - Bachelor&rsquo;s degree or above in Computer Science, Data Science, Information Security, Business Analytics, or a related discipline.
 
 - 3+ years of experience in data analytics, with proficiency in SQL, Python, and relevant analytical tools/languages, be able to detect cyber threats and risks by data-driven approaches.
 
 - Excellent capabilities to investigate, identify, analyze hidden issues from e-commerce business data and security logs.
 
 - Strong business judgment and ability to work independently in a fast-paced, ambiguous environment, strong cross-team communication skills to achieve results.
 
 
 Preferred Qualifications:
 
 - Experienced in data science and e-commerce security risk mitigation, such as data security, traffic security, or anti-bot.
 
 - Experienced in e-commerce and retail related business fields, familiar with e-commerce security risks and data analysis scenarios.
 
 - Demonstrated communication skills to bridge business and technical teams, able to efficiently promote projects from risk detection to solution implementation; good stress resistance and stability.
 
 
 
 About USDS
 
 
 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.&ZeroWidthSpace;
 
 &ZeroWidthSpace;
 
 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.&ZeroWidthSpace;
 
 
 
 
 Why Join Us
 
 
 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.&ZeroWidthSpace;
 
 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 "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.&ZeroWidthSpace;
 
 &ZeroWidthSpace;
 
 Diversity &amp; Inclusion&ZeroWidthSpace;
 
 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.&ZeroWidthSpace;
 
 
 
 
 USDS Reasonable Accommodation
 
 
 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&ZeroWidthSpace;
 
 
 
 
 Job Information
 
 
 【For Pay Transparency】Compensation Description (Annually)
 
 The base salary range for this position in the selected city is $136800 - $228000 annually.&ZeroWidthSpace;
 
 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.&ZeroWidthSpace;
 
 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).&ZeroWidthSpace;
 
 The Company reserves the right to modify or change these benefits programs at any time, with or without notice.&ZeroWidthSpace;
 
 For Los Angeles County (unincorporated) Candidates:&ZeroWidthSpace;
 
 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:&ZeroWidthSpace;
 
 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;&ZeroWidthSpace;
 
 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and&ZeroWidthSpace;
 
 3. Exercising sound judgment.&ZeroWidthSpace;
</div>

Data Scientist, E-commerce  - USDS

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

Amazon

<div>
 
 Description
 
 
 
 As an Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks.
 
 
 As an Operations Engineer for Amazon, you will work with some of the most talented engineers in the design, development, and delivery of physical distribution systems around the globe. You are responsible for managing a technology or integration project, successfully delivering the solution to meet project goals. You may work directly with external equipment vendors, customers, or partners, and you have a solid understanding of the design approaches and industry technologies utilized in fulfillment and distribution center designs. To meet timelines and minimize disruption to support teams, you manage the overall schedule, proactively mitigate risks, and keep the scope of engineering deliverables under control.
 
 
 This role requires up to 80% travel and availability to work from a corporate office when not traveling. Candidates should either live near or be willing to relocate within a reasonable commuting distance of the office. Relocation assistance may be provided.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Independently manage complex project lifecycles across organizations and geographies, delivering on objectives and targets as project owner.
 </li>
 <li>
 Participate in engineering reviews, providing tangible impact on system solutions, architecture, and facility processes.
 </li>
 <li>
 Partner with internal teams, stakeholders, and vendors to set priorities, establish milestones, and drive schedules. Proactively identify dependencies, problem-solve, and mitigate risks.
 </li>
 <li>
 Lead execution of systems and automated equipment designs per established standards. Perform installation, throughput, and safety qualifications. Optimize systems and resolve technical deficiencies.
 </li>
 <li>
 Facilitate effective meetings with clear objectives and appropriate stakeholders. Document discussions, decisions, and action items to ensure alignment.
 </li>
 <li>
 Communicate project status, risk analysis, and mitigation plans promptly and accurately. Provide clear, concise summaries to leadership.
 </li>
 <li>
 Articulate system and equipment designs, including layouts, specifications, and capabilities to internal customers and partners.
 </li>
 <li>
 Manage change orders, purchase orders, and invoice approvals efficiently.
 </li>
 <li>
 Build strong relationships with internal and external stakeholders across multiple projects.
 </li>
 <li>
 Identify and lead process improvement initiatives that enhance team efficiency and deliver cost-effective solutions.
 </li>
 <li>
 Travel up to 80% domestically, with variable intensity including extended trips up to three weeks.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 4+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience
 </li>
 <li>
 Bachelor&rsquo;s Degree in Industrial Engineering, Mechanical Engineering, or other STEM field
 </li>
 <li>
 Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems
 </li>
 <li>
 Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Knowledge of AutoCAD, VBA, and SQL at the intermediate level
 </li>
 <li>
 Experience working with and managing third party vendors
 </li>
 <li>
 Experience with Six Sigma, lean manufacturing
 </li>
 <li>
 Master&rsquo;s degree in Engineering, Operations, Business Administration, or a related STEM field
 </li>
 <li>
 Operations Management/Distribution Center experience with direct management or responsibility for material handling, automation, or other technical projects
 </li>
 <li>
 Experience with Six Sigma and/or Lean Manufacturing
 </li>
 <li>
 Experience with Microsoft Project, Smartsheet programs
 </li>
 <li>
 Experience with design and/or implementation automation solutions, such as Conveyors, Sorters, high speed manufacturing and packaging lines, Robotic work cells
 </li>
 <li>
 Proven technical leadership for industrial engineering projects or program
 
 
 </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 
 
 USA, AZ, Pheonix - 76,600.00 - 114,900.00 USD annually
 
 
 USA, CA, Gilroy - 84,300.00 - 126,400.00 USD annually
 
 
 USA, CA, SAN FRANCISCO - 84,300.00 - 126,400.00 USD annually
 
 
 USA, CA, San Francisco - 84,300.00 - 126,400.00 USD annually
 
 
 USA, IL, CHICAGO - 76,600.00 - 114,900.00 USD annually
 
 
 USA, IL, Chicago - 76,600.00 - 114,900.00 USD annually
 
 
 USA, MA, BOSTON - 76,600.00 - 114,900.00 USD annually
 
 
 USA, MA, Boston - 76,600.00 - 114,900.00 USD annually
 
 
 USA, NY, New York City - 84,300.00 - 126,400.00 USD annually
 
 
 USA, TN, NASHVILLE - 68,900.00 - 103,400.00 USD annually
 
 
 USA, TN, Nashville - 68,900.00 - 103,400.00 USD annually
 
 
 USA, TX, AUSTIN - 76,600.00 - 114,900.00 USD annually
 
 
 USA, TX, Austin - 76,600.00 - 114,900.00 USD annually
 
 
 USA, TX, DALLAS - 76,600.00 - 114,900.00 USD annually
 
 
 USA, TX, Dallas - 76,600.00 - 114,900.00 USD annually
 
 
 USA, TX, HOUSTON - 76,600.00 - 114,900.00 USD annually
 
 
 USA, TX, Houston - 76,600.00 - 114,900.00 USD annually
 
 
 USA, WA, SEATTLE - 82,700.00 - 114,900.00 USD annually
 
 
 USA, WA, Seattle - 82,700.00 - 114,900.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A10385958
</div>

Operations Engineer, Operations Engineering

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Sales, Marketing and Global Services (SMGS) 
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. 
 
The core mission of AWS Marketing is to educate customers about cloud computing and our services. As a fast growing business, we get thousands of leads via events, webinars, website, and campaigns that we process, score, and pass the highest quality leads to our sales teams. 
 
Imagine building a platform that that will be built using AWS technologies to store millions of customer lead records, continuously keep their attributes updated based on factors like their demographics, marketing activities they engage with, products they show interest etc. Imagine working with global AWS Marketing and Sales leaders to understand the AWS buying process and building the engine that enables that end to end from ingesting leads to sending to Sales follow-up and then also building the feedback mechanism on performance. You and your team will build various modules which will be responsible for ingesting leads, enriching them with attributes that we gather from 3rd party and 1st party data, scoring the leads, and handing the highest quality leads to appropriate sales teams. 
 
Interested in diving in? As Software Development Engineer for the AWS Lead Management and Account-Based Marketing Engineering team, you will join a fast growing tech organization with plenty of technical talent. You will develop a high quality, creative, technology platform that powers ingesting and passing along the highest quality leads to the AWS Sales teams. Your team will drive and own core innovations for our customers worldwide. You will closely interact with senior managers and stakeholders on a global scale, prioritizing and autonomously driving the full software development lifecycle for your team. You will work on critical projects that significantly contribute to the significant growth of AWS. You will make a huge, measurable impact to the AWS buying and lead management process, and build and innovate solutions that are simple and easy to maintain and scale. You are a strong technical leader. You are great at hiring, growing, and mentoring engineers, and at cultivating leadership capabilities. Are you an experienced software development leader, ready to challenge yourself to work hard, have fun, and make history with AWS? Come and join the AWS Marketing Lead Management team! 
 
Key job responsibilities 
- Implementation of a scalable E2E technical design across all systems in the solution - AWS tools, API, Redshift 
<ul><li>Deliver validated conceptual architecture</li><li>Write and prioritize architectural enablement work items</li><li>Evaluates technical feasibility of features</li><li>Defines migration plan from current to future state</li><li>Defines environment setup and continuous integration/continuous delivery standards</li></ul> 
A day in the life 
The ideal candidate will have a track record of success, delivering new features or products. This person has thrived on delivering high quality technology products/services in a hyper-growth environment where priorities shift fast. They have strong design and implementation experience, digs deep into data, has a strong knowledge of web services and protocols, and an in-depth knowledge of distributed systems architectures and integration between third party applications. 
 
About the team 
Diverse Experiences 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying. 
 
Why AWS 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. 
 
Mentorship and Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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 - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer, Lead Management and Account-Based Marketing Tech

Explore 32+ Data engineer in Seattle this June. Find roles across top companies and apply now to boost your career.