Data Collection Associate jobs at Amazon in United States, Sunnyvale

Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Solve technical problems independently
2. Collaborating with others to define and implement solutions
3. Escalate risks with options, impact, and recommended solutions.
4. Is an established expert in at least 1 technology domain
5. Implement, automate, and manage scalable and secure AWS solutions tailored to customer needs
6. Provide technical guidance and troubleshooting support throughout project delivery
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 3+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ year(s) of experience in IT security, compliance, or risk management
- 3+ years experience in technology automation, implementation, integration, and/or deployment

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g. EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g. Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g. Terraform, Python)
- Knowledge of security and compliance standards (e.g. HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Work experience in any of the following industries: financial services (banking, capital markets, payments, insurance, or other segments), automotive, telecommunications, healthcare, life sciences, energy, media & entertainment, or manufacturing.
- Hands-on technical expertise in building security capabilities in code, deploying infrastructure as code, and implementing enterprise security solutions (e.g. WAF, IPS, Anti-DDOS, SIEM)Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Technical Requirements: • Expert-level experience with modern frontend technologies (React, TypeScript, CSS-in-JS) • Strong understanding of frontend performance optimization and scalability • Experience with state management, component architecture, and micro-frontend approaches • Knowledge of modern build systems, testing frameworks, and CI/CD pipelines • Understanding of server-side rendering and progressive enhancement • Experience with responsive design and cross-platform compatibility
Technical Requirements: • Expert-level experience with modern frontend technologies (React, TypeScript, CSS-in-JS) • Strong understanding of frontend performance optimization and scalability • Experience with state management, component architecture, and micro-frontend approaches • Knowledge of modern build systems, testing frameworks, and CI/CD pipelines • Understanding of server-side rendering and progressive enhancement • Experience with responsive design and cross-platform compatibilityKey job responsibilities
• Drive strategic decision-making on critical UI feature development, from design through implementation to deployment• Design and implement scalable, reusable frontend components for multiple applications while solving complex UI challenges• Lead technical decisions around frontend architecture, including framework selection, build systems, and rendering strategies• Collaborate with cross-functional leads including UX designers, product managers to create intuitive, high-performance user experiences• Collaborate with world-class engineering and science teams to deliver GenAI powered initiatives• Mentor other frontend engineers and establish development best practices while fostering a frontend engineering community• Maintain and raise the technical bar across all frontend development• Drive consumer-facing impact at global scale while balancing technical excellence with user experienceA day in the life
As a Frontend Engineer in the Content and Data Platform org, you'll tackle complex UI challenges at massive scale. You'll collaborate with cross-functional teams to build features that help internal customer to improve their daily operations with GenAI technologies and eventually benefit the customers discover and access content across different devices and platforms. You'll be responsible for delivering working frontend systems that are performant, maintainable, and secure, while managing ambiguity in a fast-paced environment where development cycles are measured in weeks, not quarters.

- 4+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- 5+ years of front-end developer creating prototypes or wire-frames for enterprise web applications or workflows experience
- Experience developing with MVC/MVM frameworks (e.g. React.JS, AngularJS, Vue)

- Knowledge of web services technologies such as SOAP, HTTP, WSDL, XSD, and REST
- Experience in a broad range of software design approaches and common UX patterns.

We're looking for candidates who combine strong software engineering fundamentals with practical system development experience. You'll need to demonstrate expertise in building scalable, fault-tolerant distributed systems, with a track record of shipping production services that handle large-scale workloads. We prioritize candidates who understand professional software engineering practices across the full development lifecycle - from system design and coding standards to testing, deployment, and operational excellence.
Key job responsibilities
- Develop efficient data processing pipelines to handle large-scale training and inference data
- Support experimentation and A/B testing infrastructure to evaluate model improvements
- Participate in code reviews, technical design discussions, and sprint planning to ensure high quality software delivery
- Develop and optimize LLM-assisted tools that revolutionize knowledge graph creation, from automated ontology generation to real-time fact extraction and verification- Release and maintain ML model infrastructure to enable high-throughput, low-latency inference in production environments

- 3+ years of non-internship professional software development experience
- Bachelor's degree in computer science or equivalent
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience with data processing and ETL pipelines at scale (Spark, GlueJob, Kafka)

The ideal candidate is both a visionary, polished business and engineering leader with extensive experience in developing distributed systems, strong technical ability, excellent project management skills, great communication skills, and motivation to achieve results in a fast paced environment. You will use both business and technical acumen to drive the data catalog space (i.e. securely scale from single to multiple exabytes of data distributed across the globe). You will be responsible for services that can be deployed globally, delivering an exceptional customer experience, provide thought leadership in a fast-paced development environment, and partner with product management and senior leaders to ensure the success of this program.You will lead other leaders to set and execute on the vision. You also have a proven track record hiring and developing engineers, helping them meet and exceed their career goals. If high degree ambiguity, complexity and brad scope excites you, then come join us.Key job responsibilities
The ideal candidate is both a visionary, polished business and engineering leader with extensive experience in developing distributed systems, strong technical ability, excellent project management skills, great communication skills, and motivation to achieve results in a fast paced environment. You will use both business and technical acumen to drive the data catalog space (i.e. securely scale from single to multiple exabytes of data distributed across the globe). You will be responsible for services that can be deployed globally, delivering an exceptional customer experience, provide thought leadership in a fast-paced development environment, and partner with product management and senior leaders to ensure the success of this program.You will lead other leaders to set and execute on the vision. You also have a proven track record hiring and developing engineers, helping them meet and exceed their career goals. If high degree ambiguity, complexity and brad scope excites you, then come join us.

- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Data Collection Specialists will need to learn quickly, execute the collection procedure accurately, record data, and document any needed information associated to data. The ideal candidate will be organized, detail-oriented, and have excellent interpersonal skills. S/He should be able to contribute to improvements in data collection projects by identifying any issues in tools and suggesting enhancements and understand changes to collection protocol in response to data needs and workflows. Passion for data, efficiency, and accuracy as well as proactive behavior in addressing issues and problems is a huge plus.

Bachelor’s degree required or GED with 1+ year of experience in data collection, technical support, project management, data processing, machine learning, or related field

Excellent communication, strong organizational skills and very detailed-oriented • Experience working in a corporate environment • Comfortable working in a fast paced, highly collaborative, dynamic work environment •Practical knowledge of machine learning data processing needs and trade-offs • Experience working with prototype assets • Experience in research or data collection • Experience with any scripting languages and Unix/Linux environment is a plus • A good sense of humor, a positive attitude, and great team work skills are a must • Experience using MS Office, Excel, Mac OS, Confluence, JIRA, and Wiki tools.

Key job responsibilities
· Primarily work in and support multiple Data Centers by Deploying, Servicing, and Upgrading BMS and EPMS systems.
· Mentor and train Facilities team members on operation and control of the BMS and EPMS systems.
· Audit, maintain, and manage computer enterprise asset management systems for BMS and EPMS installations
· Manage small to medium size projects and programs.
· Perform point to point checkouts between field devices and controllers.
· Perform first-line diagnostics, troubleshooting and maintenance of programming code and hardware associated with the BMS and EPMS in data centers.
· Perform provisioning process for servers, controllers, industrial PCs and network configurations and communication testing between third party devices and controllers or servers.
· Installation, replacement, configuration, and calibration of sensors.
· Able to read and understand Electrical schematics, control panel drawings. Basic understanding of close loop controls, field sensors scaling, and functions typically performed by industrial controllers.
· Supervise low voltage electrical contractors performing wiring and installation of field devices in compliance with AWS requirements.
· Commissioning and systems level testing support.
· Create red-lined drawings and documentation of systems.
· Follow change management process to generate work requests and method of procedures.
· Participate in Factory witnessed tests at vendors or in panel builders facility.
· Perform other tasks as assigned by manager.
· Recommend design improvements based on consultation with users and system operation.
· Perform root cause analysis during testing and commissioning.
· Ensure all personnel on site utilize proper safety methodology.
· Work on-call and a rotating schedule when required and respond to after-hours emergencies.
· Perform service activities such as monitoring/reviewing ticketing systems, performing root cause analysis, and prioritizing tasks.
· Actively manage service agreements to include vendor labor scheduling, quality assurance, and financial invoice review.Physical Requirements:
· Walk job-sites in uneven terrain and work at heights and from ladders.
· Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch
or crawl.
· On occasions, lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more.A day in the life
A typical day is attending morning construction/commissioning meetings, assessing and prioritization of project tasks and service tickets for the given day. Field work which requires configuring controllers, testing sensors, troubleshooting, safety site walks, and supporting general startup processes. Technician is responsible for logging their daily efforts in construction and service related AWS tools.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Technical (Military/ Trade School) School diploma or Associate degree with one year experience related to industrial instrumentation/controls or equivalent electrical or mechanical operations experience.
- Minimum one year of experience working with computer components and operating systems.
- Minimum one year of experience with mission critical low and medium voltage electrical and/or mechanical systems.

- One-year experience working in a Data Center or mission critical environment.
- Bachelor’s Degree in Electrical Engineering, Mechanical Engineering or relevant discipline.
- International Society of Automation (ISA) Certified Controls System Technician (CCST) Level I or higher certification.
- Fundamental knowledge of network design and layout as well as low voltage (copper/ fiber) cabling.
- Basic understanding of Industrial controls system, controllers, and programming including troubleshooting of industrial controls analog, discrete and networked input/output field signals.

As a Data Scientist, you will partner with product management and technical leadership to identify opportunities for innovation in customer experiences. You will design and implement sophisticated data science solutions, including machine learning models and AI-driven systems, to optimize customer outreach, analyze behavioral patterns, and improve decision-making processes.
Key job responsibilities
Specific Responsibilities Include:
• Lead and execute large-scale data science projects from conception to deployment, addressing complex business problems with minimal guidance
• Design and implement advanced machine learning and AI models, including Generative AI applications, to optimize customer experiences and business processes
• Conduct in-depth data analysis and feature engineering to build robust, scalable ML models
• Collaborate with product managers, engineers, and business stakeholders to identify opportunities and align data science initiatives with organizational goals
• Develop and implement methodologies for measuring incremental value, predicting growth, and optimizing customer engagement
• Mentor junior data scientists and contribute to the team's technical strategy and best practices
• Communicate complex analytical findings effectively to both technical and non-technical audiences, including executive stakeholders
• Stay current with the latest advancements in data science and AI, recommending and implementing new techniques as appropriate

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 4+ years of data scientist experience
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience with statistical models e.g. multinomial logistic regression
- Proven expertise in applying advanced statistical methods and machine learning techniques to solve business problems
- Strong communication skills with the ability to present complex technical concepts to diverse audiences

- Experience as a leader and mentor on a data science team
- PhD in a relevant quantitative field or equivalent industry experience
- Experience with cloud-based data platforms (e.g., AWS, Azure) and big data technologies (e.g., Spark, Hadoop)
- Experience in leading cross-functional teams and mentoring junior data scientists