data engineer, find my

administrative assistant, find my Jobs in Cupertino

administrative assistant, find my

data analytics engineer - apple services engineering Jobs in Cupertino

data engineer

data engineer - camera intelligence Jobs in Cupertino

data engineer - camera intelligence

data engineer find my

Apple

<div>
 
 Summary
 
 
 
 The Find My team is dedicated to building a seamless, private, and secure experience for users to locate their devices, personal items, and share location with friends and family. We're a group of highly motivated engineers, designers, and product managers who are passionate about creating a simple and reliable experience for hundreds of millions of users worldwide. We thrive in a fast paced environment where team members are often encouraged to wear multiple hats and contribute to various aspects of the product lifecycle. Innovation and creative problem-solving are at the heart of our team, and we constantly explore new approaches to deliver groundbreaking solutions while collaborating with diverse disciplines across the company, including hardware, software, and privacy, to deliver an exceptional user experience.
 
 
 
 Description
 
 
 
 As a Data Engineer on our team, you'll thrive in a fast-paced, startup-like environment, collaborating closely with a passionate cross-functional team to transform complex data into insights that power our shared mission. You'll be instrumental in designing and building the analytics pipelines behind exciting new features, and your contributions will directly impact millions of users. We embrace continuous iteration and improvement, so you'll have the opportunity to learn, grow, and refine your skills as we build the future of Find My.
 
 
 You will translate analytics needs from Data Science, Engineering, Product, and Program Management into high-quality, well-modeled data artifacts. Developing methods to monitor data quality and balancing competing priorities will be key to your success. You will dive deep into complex data engineering problems to ensure our solutions are extensible, reliable, and ready to deliver at scale.
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 BS in Computer Science, Data Engineering, or related field
 </li>
 <li>
 3+ years of experience working with large data sets and dimensional data modeling
 </li>
 <li>
 3+ years of experience with data processing using Spark and SparkSQL
 </li>
 <li>
 Familiarity with data pipeline orchestration tools
 </li>
 <li>
 Proficiency in Java or Scala, and experience with Python
 </li>
 <li>
 Experience with Amazon Web Services, GCP, or Azure
 </li>
 <li>
 Strong communication and collaboration skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with open table formats such as Delta Lake or Apache Iceberg
 </li>
 <li>
 Experience with Spark on Kubernetes
 </li>
 <li>
 Experience with data quality monitoring and anomaly detection
 </li>
 <li>
 Familiarity with BI/visualization tools (e.g., Superset)
 </li>
 <li>
 Familiarity with privacy-preserving data engineering techniques
 </li>
 <li>
 Experience with machine learning applied to the domain of data engineering and analytics
 
 
 </li>
 </ul>
 
 Pay &amp; Benefits
 
 
 
 At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
 
 
 Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses &mdash; including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
 
 
 Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
 
 
 Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
 
 
 Apple accepts applications to this posting on an ongoing basis.
 
 
</div>

Data Engineer, Find My

The Find My team is dedicated to building a seamless, private, and secure experience for users to locate their devices, personal items, and share location with friends and family. We're a group of highly motivated engineers, designers, and product managers who are passionate about creating a simple and reliable experience for hundreds of millions of users worldwide. We thrive in a fast paced environment where team members are often encouraged to wear multiple hats and contribute to various aspects of the product lifecycle. Innovation and creative problem-solving are at the heart of our team, and we constantly explore new approaches to deliver groundbreaking solutions while collaborating with diverse disciplines across the company, including hardware, software, and privacy, to deliver an exceptional user experience. 
 
Description 
 
As a Data Engineer on our team, you'll thrive in a fast-paced, startup-like environment, collaborating closely with a passionate cross-functional team to transform complex data into insights that power our shared mission. You'll be instrumental in designing and building the analytics pipelines behind exciting new features, and your contributions will directly impact millions of users. We embrace continuous iteration and improvement, so you'll have the opportunity to learn, grow, and refine your skills as we build the future of Find My. 
 
You will translate analytics needs from Data Science, Engineering, Product, and Program Management into high-quality, well-modeled data artifacts. Developing methods to monitor data quality and balancing competing priorities will be key to your success. You will dive deep into complex data engineering problems to ensure our solutions are extensible, reliable, and ready to deliver at scale. 
 
Preferred Qualifications 
 
Experience with open table formats such as Delta Lake or Apache Iceberg 
 
Experience with Spark on Kubernetes 
 
Experience with data quality monitoring and anomaly detection 
 
Familiarity with BI/visualization tools (e.g., Superset) 
 
Familiarity with privacy-preserving data engineering techniques 
 
Experience with machine learning applied to the domain of data engineering and analytics 
 
Minimum Qualifications 
 
BS in Computer Science, Data Engineering, or related field 
 
3+ years of experience working with large data sets and dimensional data modeling 
 
3+ years of experience with data processing using Spark and SparkSQL 
 
Familiarity with data pipeline orchestration tools 
 
Proficiency in Java or Scala, and experience with Python 
 
Experience with Amazon Web Services, GCP, or Azure 
 
Strong communication and collaboration skills 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

We are seeking a highly strategic, autonomous, and resourceful Administrative Assistant to provide executive-level strategic partnership and comprehensive operational leadership for one or more directors and their teams within the Find My team. This role operates in a rapidly evolving, start-up-like environment within a larger organization, demanding a proactive, scrappy, and flexible approach. 
 
Our ideal candidate will anticipate needs, drive solutions independently, and navigate ambiguity with confidence. You are an analytical problem-solver who thrives on optimizing workflows, managing complex, competing priorities, and ensuring seamless, efficient daily operations while directly contributing to the strategic goals of the group. You will leverage exceptional communication and collaboration skills to influence and partner effectively across multiple teams, levels, and locations, often acting as a key operational leader. 
 
Description 
 
This role operates with significant autonomy, independently leading and executing complex operational initiatives across the Find My team. In this hybrid role, you will not only provide advanced administrative support but also proactively identify opportunities for process improvement, drive strategic projects, and manage critical issues with a high degree of ownership and urgency. You will be instrumental in shaping and enhancing the employee experience through the consistent delivery of exceptional operational and facilities support, often designing and implementing new solutions to meet the evolving needs of a dynamic, start-up-like group. Your ability to be resourceful and adaptable will be key to success in this fast-paced environment. 
 
Responsibilities include: 
 
Team Support: 
 
Knowledgeable and collaborative first point of contact for the team. This role requires onsite presence in the office and will mirror the team&rsquo;s expectations of Monday through Thursday in office. 
 
Leadership Support: 
 
Calendar management for multiple senior leaders, book intricate travel arrangements, and submit expense reports. 
 
Purchasing: 
 
Order and track equipment for new hires and existing employees, initiate purchase orders, and other ad-hoc requests. 
 
Office Oversight: 
 
Submit facilities requests; liaise with key facilities contacts and support staff; oversee office relationships including vendor, janitorial, food/beverage service and purchase orders, internal security and others; act as project manager on behalf of the business unit. 
 
Space Planning: 
 
Create and execute org-wide space strategies, track utilization of existing portfolio and incoming needs, and ensure maintenance of seat assignments across all sites. 
 
Event Planning: 
 
Organize, plan and execute large scale meetings and team events such as all team meetings, off-sites, and social events. 
 
Admin Peer Support: 
 
Work collaboratively with our existing admin team both daily and throughout long-term projects; provide backup support to peers as needed. 
 
Preferred Qualifications 
 
Capable of prioritizing a high volume of tasks and duties. 
 
Motivated self starter able to self-manage through a variety of projects at any given time. 
 
Strong interpersonal and communication skills, with the ability to build relationships across departments, work collaboratively, and manage conflict constructively. 
 
Minimum Qualifications 
 
5+ years of administrative or executive assistant experience, supporting director-level or higher in a high-tech environment. 
 
Ability to be in office Monday through Thursday 
 
Experience in heavy calendar management. 
 
A passion for creating and maintaining an overall positive employee experience through ongoing operational and facilities support. 
 
Exceptional organization, time management, and prioritization skills. 
 
Demonstrates strong foresight; anticipates challenges and opportunities and acts proactively before issues arise. 
 
Attention to detail, excellent follow through, ability to remain agile and multi-task effectively in a fast paced environment. 
 
Flexible and able to adapt to quickly changing environments. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $42.64 and $74.56/hr, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Administrative Assistant, Find My

At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses. 
 
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. 
 
Description 
 
As a Data Site Reliability Engineer in Apple Ads, you will focus on designing, building, and managing cloud-based systems and infrastructure that stores, process, transforms and analyzes large datasets. You will ensure data and corresponding infrastructure is accessible, reliable, and secure within the cloud environment, working with various Apple Internal and 3rd party cloud providers like AWS.&quot;,&quot;responsibilities&quot;:&quot;Your high-level responsibilities will include: 
 
Design, build and manage large scale distributed data systems on AWS using services such as EMR, EKS, MSK. 
 
Design and develop internal tooling and automation frameworks to improve data infrastructure reliability, cost-efficiency, and operational visibility. 
 
Collaborate with cross-functional engineering teams like advertising, machine learning and data platforms to define infrastructure architecture, troubleshoot complex issues, and drive production excellence. 
 
Lead initiatives to eliminate toil via automation, improve efficiency and scalable deployment patterns. 
 
Contribute to strategic decision making related to adoption of a multi-cloud echo system to maintain operational excellence on the current stack while still enabling the path for future innovation. 
 
Preferred Qualifications 
 
Proven experience as a committer to open-source projects like Apache Spark, Flink, etc 
 
Track record of driving automation, cost optimization and performance tuning at scale for data systems. 
 
Experience leveraging ML and GenAI capabilities to improve infrastructure and Operational efficiency is a plus. 
 
Experience driving adoption of new technologies and influencing designing of systems. 
 
Strong programming skills on object-oriented, functional or procedural programming languages, preferably Java / Scala / Kotlin / Python 
 
Experience designing and managing Infrastructure as Code with Helm and CRD, ensuring repeatable, secure, and scalable deployments. 
 
Minimum Qualifications 
 
5+ years of experience in Site Reliability Engineering with a strong focus on building, scaling and operating cloud based distributed data systems. 
 
Proven expertise running cloud infrastructure built on managed services offered by cloud providers like AWS 
 
Strong technical grasp and experience working on Open Source technologies designed for large scale data processing, like Apache Spark, Flink, Kafka, Iceberg, etc. 
 
Big Data processing and storage systems (streaming and batch) 
 
Strong expertise and experience with container orchestration systems like Kubernetes 
 
Experience designing, analyzing and troubleshooting large-scale distributed systems. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Site Reliability Engineer (SRE), Data - Apple Ads

Our team is dedicated to solving the high-quality training data problem at the scale required to train advanced Foundation Models. We believe that the advanced model performance (including reasoning, coding, and agentic planning) fundamentally depends on a data-centric approach to Machine Learning. Our objective is to engineer a large-scale system that acquires, processes, and curates the data required to advance the state of the art in Artificial Intelligence. 
 
We are seeking a Senior Research Engineer who possesses a deep understanding of distributed systems and a strong intuition for Machine Learning. You will join a culture that values engineering craftsmanship, privacy, and rigorous scientific inquiry, utilizing advanced cloud technologies to build the data systems that powers our most capable models. 
 
Description 
 
This position operates at the convergence of Software Engineering and Machine Learning Research. Unlike traditional backend roles, this position requires you to design systems where the outcome is the statistical distribution and quality of data itself. You will work alongside Research Scientists to transform theoretical observations into concrete, scalable engineering solutions. Your core focus will be the architecture of our Data Acquisition, Processing, and Repository Management systems for Large Model training. You will lead technical efforts to enable active, quality-driven data curation, including filtering, deduping, synthetic data generation and data mixing, ensuring our models are trained on the highest-quality information available.&quot;,&quot;responsibilities&quot;:&quot;Architect Scalable Ingestion Systems: Design and implement high-throughput distributed systems to ingest petabytes of text and multimodal data from diverse sources, including web crawls and third-party partnerships. 
 
Repository Optimization: Manage the lifecycle of large-scale datasets across data storage and high-performance file systems. Optimize data formats for efficient random access and sequential scanning during model training. 
 
Data Governance &amp; Privacy: Engineer robust data governance and privacy solutions for the training data, in collaboration with compliance and legal teams, to ensure adherence to stringent regulatory standards. 
 
High-Performance Processing Pipelines: Build and maintain distributed data processing workflows using advanced frameworks on cloud infrastructure (e.g., GCP, AWS). 
 
Algorithmic Data Curation: Implement sophisticated data filtering and selection logic to remove low-quality content. Develop semantic deduplication at scale to prevent model memorization and improve training efficiency. 
 
Decontamination Removal: Design automated systems to detect and remove benchmark leakage, ensuring that evaluation datasets remain strictly isolated from training corpora. 
 
Infrastructure for Scaling Laws: Collaborate with researchers to enable data ablations and scaling experiments. Build tools to support systematic data mixture optimization and empirically data studies. 
 
Preferred Qualifications 
 
Research Collaboration: Experience working within or closely with ML research organizations (e.g., as a Research Engineer), with an ability to translate research results into engineering implementations. 
 
Domain Knowledge: Familiarity with lifecycle of modern LLM training, end-to-end workflows, and underlying system architecture. 
 
Complex Data Types: Experience in processing complex data modalities beyond plain text, such as source code repositories, images, videos, and audios. 
 
Minimum Qualifications 
 
Education: Bachelor&rsquo;s degree in Computer Science, Electrical Engineering, or Mathematics. 
 
Technical Expertise: 4+ years of software engineering experience with a specific focus on Data Infrastructure, Distributed Systems, or AI/ML Engineering. 
 
Language Proficiency: Expert fluency in Python, and strong competence in system languages such as C++. 
 
Cloud Architecture: Extensive experience architecting solutions on major public cloud platforms (e.g. GCP) to build scalable data systems (e.g. with Apache Beam, GCS) 
 
Performance Engineering: Deep experience profiling and optimizing high-throughput data systems. Demonstrated ability to debug distributed bottlenecks (e.g., stragglers, I/O saturation), optimize data formats and provide efficient data storage solutions. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Research Engineer, Training Data Infrastructure in Foundation Models

The Siri Team at Apple is actively looking for a highly motivated Systems Software Engineer to contribute to and build Apple's future technologies that power delightful Siri experiences supercharged with Apple Intelligence. The successful candidate will be a skilled software engineer with strong ML fundamentals who enjoys problem-solving and is comfortable with designing, building, and optimizing system software that integrates machine learning capabilities. 
 
Our team builds high-quality software that powers delightful Siri-based experiences in the Apple ecosystem. We value passion for excellence and a deep commitment to building high-quality software. If you want to impact millions of customers around the world by working on the most advanced technology solutions, we want to talk to you. 
 
Description 
 
As a Machine Learning Systems Engineer in the Siri Group at Apple, you will work at the intersection of software engineering and machine learning, partnering with cross-functional teams to solve high-impact problems on Apple products.&quot;,&quot;responsibilities&quot;:&quot;Integrating ML models into production software pipelines with focus on performance and reliability 
 
Building and optimizing infrastructure for ML model evaluation, analysis, and deployment Collaborating with ML engineers to understand model requirements and translate them into efficient system implementations 
 
Optimization of existing systems for ML workloads and debugging complex software-ML integration issues 
 
Working cross-functionally to drive requirements from concept through feature launch 
 
Writing clean, maintainable production code with comprehensive documentation and tests 
 
Contributing to architecture decisions, design reviews, and peer code reviews 
 
Acting as a force-multiplier by enabling both engineering and ML team members to be more productive 
 
Preferred Qualifications 
 
Demonstrated experience building production-quality software 
 
Experience building ML infrastructure, evaluation pipelines, or training systems 
 
Familiarity with ML frameworks (Core ML, PyTorch, TensorFlow) and model optimization techniques 
 
Minimum Qualifications 
 
Strong programming skills in Swift / C++ / Objective-C 
 
Solid understanding of machine learning concepts, model inference, and ML system design principles 
 
Experience developing and optimizing algorithms that run efficiently on resource-constrained platforms 
 
Passionate about delivering high-quality products, comfortable with ambiguity, intellectually curious and driven to find creative solutions 
 
Ability to thrive in collaborative environments with multiple cross-functional teams and communicate clearly with both engineering and ML teams 
 
BS (or higher) in Computer Science, Machine Learning, or related disciplines 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $126,800 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

Jovie

<div>
 Compensation:
 
 
 <ul>
 <li>
 Hourly Wage: $23-$25 per hour
 </li>
 <li>
 Overtime Wage: $34.5-$37.5 per hour
 
 
 </li>
 </ul>
 Are you a natural with kids? Whether you're a seasoned nanny, babysitter, daycare pro, retired teacher, or simply someone who loves spending time with children, we want YOU on our on-call nanny squad! Forget boring job descriptions &mdash; we're about meaningful connections, joyful moments, and making families' lives easier. Ready to dive in? Let&rsquo;s make magic together!
 
 
 About us:
 
 
 For more than 20 years, Jovie Nannies + Sitters has been a trusted partner for parents seeking childcare solutions from full or part-time nannies to fun-filled sitters to on-call backup childcare. Join us if you're ready for a rewarding journey! Jovie is all about community and purpose, providing nannies and sitters with training, resources, and support to boost their childcare skills and confidence. Jovie provides equal employment opportunities to all &ndash; we celebrate diversity! 🌈
 
 
 Real-Life Reviews:
 
 
 &ldquo;One of the best environments and people-group that I have ever worked for.&rdquo; ⭐⭐⭐⭐⭐Google
 
 
 &ldquo;Jovie has great management and safe families.&rdquo; ⭐⭐⭐⭐⭐Indeed
 
 
 &ldquo;This job has been a godsend as it got my foot in the door in the childcare industry and has sustained me living on my own.&rdquo; ⭐⭐⭐⭐⭐Glassdoor
 
 
 About You:
 
 
 <ul>
 <li>
 You genuinely enjoy children and are an engaging, creative, child-focused individual who is willing to have fun, play, read, do arts and crafts, and similar activities in families' homes
 </li>
 <li>
 You value communication with parents and coworkers
 </li>
 <li>
 You&rsquo;re available at least three days per week to work between 7am - 7pm
 </li>
 <li>
 You have a reliable vehicle and a valid driver's license for transportation
 </li>
 <li>
 You are able to assist with school homework (up to 5th-grade Math and English assignments)
 </li>
 <li>
 You bring at least 1 year of day-to-day childcare experience with children ages infant and up
 </li>
 <li>
 You can provide our team with 3 references, 2 related to working with children, paid or unpaid, as well as 1 character reference
 </li>
 <li>
 You&rsquo;re at least 18 years of age or older
 </li>
 <li>
 Reliability is important to you and families can depend on you
 
 
 </li>
 </ul>
 Job Benefits:
 
 
 <ul>
 <li>
 Earn Reward points for gift cards to Target, Door Dash, Lululemon, Starbucks and more through family feedback, taking last minute shifts, on-time arrival, and special contests
 </li>
 <li>
 Employer-sponsored CPR/First Aid and California Trustline
 </li>
 <li>
 Enjoy opportunities to advance in the childcare field and have the first chance to be placed with families seeking one consistent nanny
 </li>
 <li>
 Health care stipend, PTO, Paid Holidays, and Retirement Savings Matching
 </li>
 <li>
 Legal pay with bi-weekly direct deposit; accrued sick time; Worker&rsquo;s Comp insurance
 </li>
 <li>
 Meet new families and build requested and repeat assignments
 </li>
 <li>
 My Jovie App for setting your schedule and keeping assignment details organized
 </li>
 <li>
 Opportunities for overtime paid at 1.5 times hourly wage
 </li>
 <li>
 Paid training and professional development
 </li>
 <li>
 Regular wage increases
 </li>
 <li>
 Support from our experienced staffing team who works to get you all the hours you need! Or view our calendar of open assignments and self-select the jobs you want
 </li>
 <li>
 Support, mentorship, team atmosphere, and engaged leadership
 </li>
 <li>
 Vetted families who value the professional care that comes from a professional placement agency
 </li>
 <li>
 Work within pre-determined locations and with favorite families
 </li>
 <li>
 You&rsquo;ll receive a Kid-Kit filled with age-appropriate activities and games that you will bring to childcare assignments
 
 
 </li>
 </ul>
 Job Certifications:
 
 
 <ul>
 <li>
 First Aid and CPR
 </li>
 <li>
 High School Diploma or GED
 
 
 </li>
 </ul>
 Working Conditions and Requirements:
 
 
 <ul>
 <li>
 Work environment will be active, kid-centric and includes clean up of activities
 </li>
 <li>
 Part of each day may be spent outside, weather permitting, and will be active play
 </li>
 <li>
 Position involves regular lifting, bending, squatting, reaching and pushing
 </li>
 <li>
 Must be able to lift 35 pounds safely
 </li>
 <li>
 Must be able to get up from and down to the floor numerous times throughout the day
 </li>
 <li>
 Will need to be able to react quickly to certain situations
 </li>
 <li>
 May need to react to emergent situations in a calm, effective and safe manner
 
 
 </li>
 </ul>
 Ready to Make a Difference?
 
 
 Join a team that values YOU! We&rsquo;re here to make sure you feel supported, appreciated, and excited to bring joy to families in your community.
 
 
 Let&rsquo;s make childhood magic happen &mdash; together!
 
 
 Powered by JazzHR
 
 
 SENQtLFFiE
</div>

FT or PT Nanny

Explore 149+ Data engineer find my in Cupertino this March. Find roles across top companies and apply now to boost your career.

149 data engineer find my jobs In Cupertino

Data Engineer, Find My

Data Engineer, Find My

Administrative Assistant, Find My

Senior Site Reliability Engineer (SRE), Data - Apple Ads

Senior Research Engineer, Training Data Infrastructure in Foundation Models

Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

FT or PT Nanny