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delivery platform software engineer 1 - developer tools team (hybrid - seattle, wa) Jobs in Seattle

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designer - workplace - senior

enterprise security services senior manager Jobs in Seattle

project development engineer Jobs in Seattle

project development engineer

senior software engineer

Apple

<p>Imagine what we could do together. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there&rsquo;s no telling what we could accomplish!<br>
<br>
The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, Apple Sports and Apple Fitness. And we do it on a massive scale, meeting Apple&rsquo;s high standard for quality and excellence, to deliver a huge variety of entertainment in over 50+ languages to more than 150 countries.<br>
<br>
<b>Description</b><br>
<br>
The App Store team powers the data backbone behind discovery, search, trust and safety, developer insights, and experimentation across billions of daily user interactions. We ingest, model, and activate high-volume event data in near real time with uncompromising standards for privacy, reliability, and latency. As a Senior Software Engineer, you will design and operate large-scale distributed systems and build production-grade Generative AI applications that make App Store signals useful, safe, and actionable for teams across Apple. &quot;,&quot;responsibilities&quot;:&quot;Architect and operate petabyte-scale App Store pipelines with strict SLAs.<br>
<br>
Define event taxonomies, schemas, and governance to ensure durable contracts, lineage, and high-quality metadata.<br>
<br>
Ship privacy-by-design processing: PII minimization, consent enforcement, differential privacy, and edge-friendly patterns.<br>
<br>
Build production GenAI services with App Store context: embeddings, vector search, RAG, prompt orchestration, guardrails, and automated evals.<br>
<br>
Lead incident response and root-cause analysis; automate backfills, reprocessing, and lineage-aware rollbacks.<br>
<br>
Mentor engineers, influence architectural roadmaps, and improve on code quality, testing, performance, reliability, and documentation.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Familiarity shipping GenAI apps to production: embeddings, vector DBs, RAG, prompt orchestration.<br>
<br>
Excellent communication and collaboration skills; ability to influence multi-functional partners and drive complex projects to completion.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
8+ years of hands-on software engineering experience building large-scale data systems.<br>
<br>
Strong programming skills in one or more of Scala and Java.<br>
<br>
Hands-on expertise with distributed data systems such as Spark, Kafka, Hadoop, Flink.<br>
<br>
Solid foundation in data storage and SQL : (S3/HDFS/Parquet), and lakehouse tables (Iceberg/Delta/Hudi).<br>
<br>
Solid systems fundamentals: algorithms, data structures, concurrency, consistency, caching, and observability.<br>
<br>
Built and operated services with Docker/Kubernetes, automated CI/CD and low-latency inference systems.<br>
<br>
BS/MS/PhD in Computer Science or related field, or equivalent experience.<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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 $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior Software Engineer, App Store Data

Uber

<div><b>About the Role</b>
<br>
<br>
The Uber Airports team manages the largest segment within Uber's rides business. Our mission is to help Airport travelers understand what to expect, when to request a ride, where to go, and how to find their driver, no matter where they land in the world.<br>
<br>
We specialize in optimizing Uber products for Airport scenarios, developing software solutions that cater to the needs of Uber Riders, Drivers, and Airport operators. If you're interested in working on something impactful and used by millions of people, consider joining our team!<br>
- What you will do -<br>
<ul><li>
Work closely with stakeholders to understand business requirements and build cross-functional solutions.</li><li>
Dive deep into multiple tech stacks across the company to create scalable micro-services and implement efficient algorithms.</li><li>
Track the success of your feature experiments, collaborating with Data Science and Product teams to iterate on delightful user experiences.</li><li>
Coach and mentor junior engineers or new engineers joining the team. Provide technical leadership to your team.</li></ul><br>
- Basic Qualifications -<br>
<ul><li>
5+ years of experience in backend software systems.</li><li>
Proficient in one or more object oriented programming languages (e.g. Golang, Java, C#).
</li><li>Proficient in writing unit tests and integration tests.
</li></ul>- Preferred Qualifications -<br>
<ul><li>
BS/MS/PhD in Computer Science or a related field.</li><li>
Experience with distributed systems or microservice architectures.</li><li>
Experience with relational databases and distributed storage systems (MySQL, Cassandra).</li><li>
Good written, verbal communication skills.</li><li>
Strong collaboration skills</li><li>
Passion for learning new technologies</li><li>
Experience with shipping efficient, reliable, crash-free code that reaches millions of users.</li></ul><br>
For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Senior Software Engineer (Backend), Airports

<div>People at Apple don't just build products - they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it.<br>
<br>
The Analytics Platforms &amp; Experiences (APX) team is at the forefront of revolutionising Data Engineering. We drive significant increases in efficiency and productivity through a flawless ecosystem of frameworks and products that unlock observability, knowledge and enable data quality-driven orchestration at scale. APX is part of the broader Apple Services Engineering division that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store and more.<br>
<br>
The APX Bedrock team is the foundational platform layer within APX, responsible for building the systems and services that underpin data engineering excellence across the organization. We are seeking a Senior Software Data Engineer who brings deep technical expertise and the strategic thinking to shape the future of our data engineering platform. In this role, you will influence the broader technical vision, drive platform-wide architectural decisions, and establish patterns that raise the engineering bar across the organization. You will bridge hands-on engineering excellence with forward-looking platform thinking, working alongside architects and cross-functional teams to transform how data engineers work at Apple.<br>
<br>
<b>Description</b><br>
<br>
As a Senior Software Data Engineer on the APX Bedrock team, you will be a highly impactful technical contributor who combines deep engineering craftsmanship with platform-wide thinking. You will own critical platform components end-to-end while actively shaping the technical direction of the team and influencing the broader organization.<br>
<br>
<ul><li>Lead design and implementation of core platform services supporting data application authoring, metadata management, dataset lifecycle tracking, and orchestration at scale</li></ul><br>
<ul><li>Architect and build high-performance Java-based backend services and APIs that form the backbone of the data engineering platform</li></ul><br>
<ul><li>Own data modeling and database design decisions, establishing best practices for schema design, indexing strategies, and query optimization across relational and non-relational data stores</li></ul><br>
<ul><li>Design and operate scalable data processing pipelines using Apache Spark, Apache Flink, and modern orchestration frameworks</li></ul><br>
<ul><li>Proactively identify architectural gaps and drive initiatives that improve platform scalability, reliability, and developer experience</li></ul><br>
<ul><li>Define engineering standards and patterns adopted across the broader team and organization</li></ul><br>
<ul><li>Evaluate emerging technologies and contribute to strategic decisions that shape the platform roadmap</li></ul><br>
<ul><li>Mentor engineers across experience levels and drive a culture of technical excellence</li></ul><br>
<ul><li>Leverage AI-powered development tools and help define how AI-augmented workflows are adopted and scaled within the team</li></ul><br>
<b>
Preferred Qualifications</b><br>
<br>
Experience with non-relational or NoSQL databases and strong intuition for applying the right data storage paradigms<br>
<br>
Proficiency in Scala, Go, or Python as complementary programming languages<br>
<br>
Deep experience with container orchestration tools such as Kubernetes and cloud-native infrastructure patterns<br>
<br>
Hands-on experience with AI-powered development tools (e.g., Claude Code, Copilot) and building AI-augmented engineering workflows<br>
<br>
Experience architecting data quality monitoring, metadata management, or dataset lifecycle management systems at scale<br>
<br>
Strong background in streaming, real-time data processing, and event-driven architectures<br>
<br>
Track record of mentoring senior engineers and driving technical excellence across teams<br>
<br>
Strong communication skills with the ability to present complex technical strategies to senior leadership<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelor's or Master's Degree in Computer Science, Engineering, or equivalent professional experience<br>
<br>
8+ years of software engineering experience with significant focus on data platform or large-scale distributed systems<br>
<br>
Expert-level Java programming with a strong track record of architecting and delivering complex, production-grade backend services<br>
<br>
Deep experience with relational databases including advanced data modeling, schema design, and query optimization at scale<br>
<br>
Expert-level experience with Apache Spark and Apache Flink, and distributed data technologies including Hadoop, HDFS, and Kafka<br>
<br>
Extensive experience designing and operating workflow orchestration systems such as Apache Airflow at enterprise scale<br>
<br>
Proven ability to drive end-to-end technical ownership of complex platform initiatives and influence technical direction beyond immediate team scope<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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 $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Senior Software Data Engineer

Rippling

<div><h2 class="jobSectionHeader"><b>About Rippling</b></h2><p>
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.</p><p></p><p><br>
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365&mdash;all within 90 seconds.</p><p></p><p><br>
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world&rsquo;s top investors&mdash;including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock&mdash;and was named one of America's best startup employers by Forbes.</p><p></p><p><br>
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.</p><h2 class="jobSectionHeader"><b><br>
About the role</b></h2><p>
Rippling processes multi-billions of dollars in annual transaction volume, serving as the financial engine for businesses worldwide. As a Staff Engineer on the broader Financial Services team, you will join a lean, high-impact group responsible for the architecture that moves this money.</p><p></p><p><br>
We&rsquo;re looking for a Staff Software Engineer to anchor our new Money Movement &amp; Treasury architecture hub in Seattle. You will own the design and implementation of our deterministic, config-driven, and incrementally testable ledger architecture. You will be the technical authority ensuring 100% ledger coverage to act as the final guardrail for all tax and payment liabilities.</p><p></p><h2 class="jobSectionHeader"><b><br>
What you will do</b></h2><ul><li><b>
Architect the Foundation:</b> Redesign our General Ledger and reconciliation systems to eliminate silent failures and to be deterministic.</li><li><b>
Unify the Abstraction:</b> Establish universal primitives across various historically disjointed payment systems to create a single, queryable lifecycle for every dollar moving through our platform.</li><li><b>
Build the Engine:</b> Develop a reconciliation replay and testing framework, working closely with the payments data team to replace legacy Snowflake-side recon logic.</li><li><b>
Technical Leadership:</b> Anchor the Seattle site, mentoring a pod of high-performing Senior engineers to build an execution layer decoupled from product feature velocity.</li><li><b>
Cross Functional Execution: </b>The engineer will work closely and collaborate with the Payments Data, Tax, and Accounting team<b> </b>to understand ledger, tax liability, accounting and regulatory reporting requirements, and to replace legacy Snowflake-side reconciliation logic by developing a reconciliation replay and testing framework.</li></ul><h2 class="jobSectionHeader"><b>
What you will need</b></h2><ul><li><b>
Experience:</b> 8+ years of professional software engineering experience, with a strong track record in backend development and distributed systems.</li><li><b>
Architecture:</b> Proven ability to design large-scale, fault-tolerant systems from scratch. You understand the trade-offs between consistency and availability and know when &quot;eventual consistency&quot; is not enough.</li><li><b>
High Agency:</b> You thrive in ambiguity. You don't wait for a ticket to be assigned; you identify the business problem, scope the technical solution, and execute.</li><li><b>
Domain Agility:</b> You have the intellectual curiosity to master the complex domain of treasury and money movement in a matter of days, even if you don't have a background in it.</li><li><b>
Tech Stack:</b> Deep proficiency in a modern backend language (Python, Go, Java, etc.) plus experience with complex data modeling (SQL/NoSQL) and data processing framework (Spark/Flink).</li></ul><h2 class="jobSectionHeader"><b>
Additional Information</b></h2><p>
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@rippling.com</p><p></p><p><br>
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.</p><p></p><p><br>
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.</p><p></p><p><br>
A variety of factors are considered when determining someone&rsquo;s compensation&ndash;including a candidate&rsquo;s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.</p><p></p><b><br>
The pay range for this role is:</b><br>
189,000 - 330,750 USD per year(US Tier 1)</div>

Staff Software Engineer - Financial Ledger Systems

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company&rsquo;s Think Big leadership principle to the limits. If you&rsquo;re interested in innovating at scale to address big challenges in the world, this is the team for you.<br>
<br>
As a Senior Machine Learning Engineer on our team, you will leverage your deep technical expertise to build reliable, scalable, and highly performant AI systems. You will drive technical strategy and collaborate closely with Applied Scientists on modeling experiments and prototypes, translating concepts into production-ready solutions. We&rsquo;re looking for someone who wants to can make a positive impact on humanity, has a track record of innovating and building successfully, and loves solving hard problems!<br>
<br>
<br>
<br>
Key job responsibilities<br>
The ideal candidate for this role has a demonstrable track record of delivering successfully in a hyper-growth ML/AI environment by leveraging their deep technical expertise and adapting deftly to rapidly evolving priorities.<br>
In this role, you will:<br>
<br>
<ul><li>Spearhead large scale technical initiatives and make critical architectural decisions</li><li>Identify and resolve complex technical challenges, often in ambiguous problem spaces</li><li>Design and implement scalable data processing pipelines and infrastructure to support ML model training workflows</li><li>Develop tools for data preprocessing, feature engineering, and efficient resource utilization for large-scale AI training jobs</li><li>Create monitoring systems, debugging tools, and performance optimization solutions for ML infrastructure</li><li>Collaborate to integrate ML frameworks with production systems and implement version control for both code and model artifacts</li><li>Mentor and guide MLEs and SDEs, fostering their growth and the overall team&rsquo;s capabilities</li></ul><br>
A day in the life<br>
Our main data consumers and producers are science teams. You will work closely with scientists from various domains to clarify requirements, design new systems, upgrade existing services and provide operational support to mitigate issues. You work will largely comprise of working with data services and pipelines.<br>
<br>
About the team<br>
We represent Amazon's ambitious vision to solve the world's most pressing challenges. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity. Our team is for engineers who enjoy teamwork, cross-functional collaboration and building new things. You need to be a fast learner able to independently disambiguate requirements and deliver value to customers. We are offering fast-pace, Agile environment with little bureaucracy and small operational load.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ 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><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Sr. Machine Learning Engineer, Special Projects

Realign

<div>Seattle, Washington 98039 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Job Title:</b> PSA Engineer - Network Transmission <b>(Energy Domain)</b><br>
<b>Location &ndash; </b>Seattle, WA / Melbourne, FL<br>
<b>Contract</b></p><div><b>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div>
5+ years of work experience in customizing and delivering Energy Management Systems preferbly e-terrra AEMS - Reliance</div><div>
5 + years of experience with C++, Java or other related language.</div><div>
5+ years of experience with GE&rsquo;s AEMS Reliance source design and development.</div><div>
5+ years of experience with electric utility industry practices.</div><div>
5 years of experience with LINUX and Windows Operating Systems</div><div>
5 years of experience with C, Java &amp; Oracle Database</div><div>
SQL, shell scripting, ability to read and interpret logs &amp; debug files</div><div>
Installation of Operating system patches and other 3rd Party Software such as Oracle, NetApp etc.</div><div>
System configuration and Hands on Experience in GitHub and ClearCase</div><div>
5 years experience on Realtime or Mission Critical Systems</div><div>
Must have experience in picking up and installing fixes on live customer systems</div><div>
Proven track record of problem analysis, identification and resolution</div><div>
Strong troubleshooting &amp; debugging skills</div><div>
Good communication skills (verbal and written)</div><div>
MS office applications (Word, PowerPoint, Excel) and MS Outlook competency</div><div>
Reliance (Formerly known as XA/21) experience</div><div>
Object-Oriented programming techniques, Oracle, and/or system administration, is a plus</div><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div>
Responsible for advanced Power Systems Application software development and successful delivery of assigned functions to meet corporate project/product commitments. The responsibilities include: working with Electric Utilities or ISOs (Independent System Operators) and Transmission System Operators (TSOs) on functional software specifications, designing, coding, testing, integration, application tuning and delivery</div><div></div><div><b><br>
Generic Managerial Skills</b></div><div>
Ensure customers&rsquo; success by fostering a balanced relationship that benefits both GE and the customer</div><div>
with the goal of producing the highest level of customer support and satisfaction. In this role, you will:</div><div>
Take a leadership role in strategizing with internal staff and customers to solve and prevent re-occurrence of issues.</div><div>
Engage with customers on day to day issues; organize customer calls to facilitate implementation of solutions while adhering to change control, compliance protocols. Ensure solution does solve the customer&rsquo;s issue.</div><div>
Mentors staff in troubleshooting and analysis methods</div><p></p>
<p>Required Skills</p>
<p>CLOUD SECURITY ENGINEER</p> <p>DEVOPS ENGINEER</p> <p>DEVOPS SECURITY ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

PSA Engineer / Network Transmission (Energy Domain)-6

<p>The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology! These are the people who power the App Store, Apple Music, Apple TV, Apple Games, and many others. And they do it on a massive scale, meeting Apple&rsquo;s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple&rsquo;s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple&rsquo;s privacy policy, one of Apple&rsquo;s core values. Although services are a bigger part of Apple&rsquo;s business than ever before, these teams remain small, forward-thinking, and cross-functional, offering greater exposure to the array of opportunities here.<br>
<br>
<b>Description</b><br>
<br>
As a team member of the ASE Data Engineering team, you will have significant responsibility and influence in shaping its future direction. This role is inherently cross-functional and the ideal candidate will work across disciplines. We are looking for someone with a love for data and ability to iterate quickly on all stages of data pipeline. This position involves working on a small team to develop large scale data pipelines and analytical solutions using Big Data technologies. Successful candidates will have strong engineering skills and communication, as well as, a belief that data driven processes lead to phenomenal products. You will need to have a passion for quality and an ability to understand sophisticated systems.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
MS in Computer Science or a related field with 7+ years experience.<br>
<br>
Experience leading complex engineering projects from inception to production across organizational boundaries.<br>
<br>
Exceptional analytical skills combined with a deep knowledge of data structures and algorithms.<br>
<br>
Can see the big picture, set a vision, and grow the team and platform in accordance to that vision.<br>
<br>
Excellent communication skills. Can effectively communicate complex ideas and make compelling arguments - guiding the team, partners and leadership.<br>
<br>
Deep experience in designing and implementing scalable big data solutions that span multi-functional teams.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
BS in Computer Science or a related field with 5+ years experience.<br>
<br>
Strong technical knowledge in Java, Scala, SQL.<br>
<br>
Multi year experience with Big Data technologies like Spark batch, Spark streaming, Flink and Hadoop ecosystem.<br>
<br>
Experience integrating messaging technologies like Kafka.<br>
<br>
Effectively collaborate with engineers, product managers, designers, collaborators, partners, etc.<br>
<br>
Enjoys deep technical and product discussions. Has attention to detail and can context switch across multiple projects.<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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 $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Data Analytics Engineer - Apple Services Engineering

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