aiml - applied ml engineer, data generation & verification

aiml - sr backend engineer, data and ml innovation

business analyst, wwgs business and customer analytics

data scientist, product analytics Jobs in Seattle

data scientist, product analytics

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

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

aws data engineer

business analyst, wwgs business and customer analytics Jobs in Seattle

data engineer analytics

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><ul><li>6+ years of data engineering experience</li>
<li>3+ year of experience working in a data engineering, data science, or software engineering capacity</li>
<li>Expertise in writing and maintaining robust data pipelines in SQL and Python</li>
<li>A track record of turning data requirements from stakeholders into actionable plans</li>
<li>Experience with cloud-native solutions</li>
<li>A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability</li>
</ul></div><div><b>Preferred qualifications:</b>
</div><div><div><ul><li>5+ years of experience in data warehousing, data modelling, and building/maintaining ETL/ELT pipelines at scale.</li>
<li>Extensive experience with AWS, Google Cloud Platform (GCP), or Azure.</li>
<li>Proficiency in Apache Spark, Kafka, NoSQL databases, and orchestration tools like Apache Airflow.</li>
<li>Strong skills in Python, Java, or Scala.</li>
<li>Deep knowledge of SQL and, specifically, experience with Snowflake, Data bricks, or Redshift.</li>
</ul></div><div><div><b>TCS Employee Benefits Summary:</b>
</div><div><ul><li>Discretionary Annual Incentive.</li>
<li>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.</li>
<li>Family Support: Maternal &amp; Parental Leaves.</li>
<li>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.</li>
<li>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.</li>
<li>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.</li>
<li>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</li>
</ul></div><div>#LI-RJ2
</div><div>Salary Range-$150,000-$180,000 a year
</div></div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Senior Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>406674</div>
</div><div><div><b>Desired Skills</b></div>
<div>Big Data</div>
</div><div><div><b>Salary Range</b></div>
<div>$150,000-$180,000 a year</div></div></div></div><div></div>

Data Engineer Analytics

Apple

<div>The Apple Services Engineering (ASE) 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 TV, Apple Music, Apple Podcasts, and Apple Books. 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.<br>
<br>
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.<br>
<br>
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, nimble, and cross-functional, offering greater exposure to the array of opportunities here.<br>
<br>
We&rsquo;re looking for an engineer to join the team working on defining the future of our privacy-first instrumentation capabilities. You will work at the intersection of product management and engineering with a number of cross-functional stakeholders to answer two main questions: What data should we collect for our products and services and how will we get that data from client devices while preserving privacy?<br>
<br>
<b>Description</b><br>
<br>
You&rsquo;ll be tasked with designing, launching, and supporting new data infrastructure products as vital to answer high-level analytics questions at scale.<br>
<br>
Your responsibilities will include all aspects of software development management, from brainstorming, design and analysis to development, implementation and maintenance. Additionally, you'll be tasked with defining the strategy for new data infrastructure products as necessary to answer high-level analytics questions at scale. Finally, you will create and maintain instrumentation specifications for all new features, detailing the fields, values and when the data is collected and when for all new features released across ASE products and services.<br>
<br>
To accomplish all this, you&rsquo;ll collaborate with a wide range of collaborators including product managers, client and server engineering, data scientists/business analysts, privacy engineers and attorneys, QA, and more.<br>
<br>
You will:<br>
<br>
<ul><li>Design and implement innovative Privacy-preserving systems to be used across ASE products and services</li></ul><br>
<ul><li>Design and develop frameworks and tools to collect analytics data from our products and services on all platforms, including iOS, iPadOS, macOS, tvOS, watchOS, visionOS, web browsers, and third party platforms.</li></ul><br>
<ul><li>Own the end-to-end product lifecycle for client instrumentation capabilities, creating detailed specifications that provide clear guidance to engineering, data science, and QA stakeholders</li></ul><br>
<ul><li>Manage the end-to-end design, launch, and support of new data infrastructure as needed to address sophisticated analytics needs, including technical system design and implementation</li></ul><br>
<ul><li>Advise business and engineering team members by serving as a data collection subject-matter-expert who understands how analytics-related asks will impact numerous server and client engineering systems</li></ul><br>
<ul><li>Lead discussions with privacy and legal teams to ensure that both Apple&rsquo;s analytics needs are met and consumer privacy is protected</li></ul><br>
The people here at Apple don&rsquo;t just create products they create the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.<br>
<br>
&quot;,&quot;responsibilities&quot;:&quot;You'll design, launch, and support new data infrastructure products crucial for answering high-level analytics questions at scale.<br>
<br>
Your responsibilities will include all aspects of software development, from brainstorming, design and analysis to implementation and maintenance. Additionally, you'll be tasked with defining the strategy for new data infrastructure products as necessary to answer high-level analytics questions at scale. Finally, you will be expected to create and maintain instrumentation specifications documents that specify what fields and values are collected and when new features released across ASE products and services.<br>
<br>
To accomplish all this, you&rsquo;ll collaborate with a wide range of partners including product managers, client and server engineering, data scientists/business analysts, privacy engineers, attorneys, QA, and more.<br>
<br>
You will:<br>
<br>
Design, and implement innovative Privacy-preserving systems to be used across ASE products and services<br>
<br>
Design and develop frameworks and tools to collect analytics data from our products and services on all platforms, including iOS, iPadOS, macOS, tvOS, watchOS, visionOS, web browsers, and third party platforms.<br>
<br>
Own the end-to-end product lifecycle for client instrumentation capabilities, creating detailed specifications that provide clear guidance to engineering, data science, and QA stakeholders<br>
<br>
Manage the end-to-end design, launch, and support of new data infrastructure as needed to address complex analytics needs, including technical system design and implementation<br>
<br>
Advise business and engineering stakeholders by serving as a data collection subject-matter-expert who understands how analytics-related asks will impact numerous server and client engineering systems<br>
<br>
Lead discussions with privacy and legal teams to ensure that both Apple&rsquo;s analytics needs are met and consumer privacy is protected<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Ability to assist in the creation and enforcement of privacy and compliance policies and guidelines across ASE and Apple<br>
<br>
Industry experience in Privacy-Enhancing Technologies for large-scale distributed systems<br>
<br>
Experience with differential privacy, private data-synchronization across systems and devices, data minimization, tokenization, cryptography<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
5+ years of experience working as a software engineer, technical product manager, or engineering focused management consultant<br>
<br>
Strong software design skills, coupled with a deep knowledge of data structures and algorithms<br>
<br>
Comfort working with large, cross-functional teams spread across multiple locations<br>
<br>
Strong communication and collaboration skills: The ability to translate ambiguous high-level analytics questions into concrete engineering asks<br>
<br>
Strong prioritization skills with the ability to manage multiple programs simultaneously with overlapping deadlines<br>
<br>
5+ years of professional experience with some or all of the following: data or analytics systems, frameworks or toolkits, Swift, Objective-C, JavaScript, C/C++, Java, TypeScript, React, Angular, Ember, Vue<br>
<br>
BS or MS in Computer Science or equivalent industry 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.</div>

Software Engineer - Analytics and Data Privacy

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p><b>Lead Data Engineer
</b></p><p><b>Office hybrid in Seattle or Chicago
</b></p><p></p><p>As a Data Engineer at Salesforce within the Data &amp; Analytics organization, you will collaborate with cross-functional teams to create and manage robust data solutions that support our analytics and business intelligence initiatives, building scalable and efficient data pipelines, optimizing data workflows, and ensuring data quality and reliability. The Customer Success Data Platform organization sits at the intersection of Automation, Analytics, and AI, pushing the boundaries of Salesforce technology as Customer 0 and providing trusted data that supports the AI + Human tandem.<br>
</p><p></p><h2 class="jobSectionHeader"><br>
<b>What You&rsquo;ll Do
</b></h2><ul><li><h3 class="jobSectionHeader"><b>Architect Multi-Stage Medallion Pipelines: </b><b>Design and oversee the implementation of a robust Medallion Architecture (Bronze, Silver, and Gold layers), ensuring seamless transitions from raw ingestion to highly refined, business-logic-heavy data assets.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Lead Semantic Layer Strategy: </b><b>Own the development and governance of the </b><b>Semantic Layer </b><b>, defining standardized metrics and dimensions to ensure consistent interpretation of KPIs across all downstream business intelligence and reporting platforms.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Advanced Dimensional Modeling: </b><b>Lead the transition from flat tables to sophisticated Star and Snowflake schemas. Design high-performance data models that support complex relationship mapping, historical versioning (SCD Type 2), and high-concurrency querying.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Engineering Identity &amp; Entity Resolution: </b><b>Build and maintain scalable pipelines for identity resolution, stitching together disparate data points across the Salesforce ecosystem to create unified, governed customer and product graphs.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Infrastructure for Causal &amp; Attribution Modeling: </b><b>Partner with Decision Scientists to engineer the specialized data structures and features required for advanced attribution and causal inference, ensuring these models are backed by high-integrity, production-ready data.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Data Contracts &amp; Quality Governance: </b><b>Establish and enforce strict Data Contracts between upstream producers and downstream consumers. Implement automated validation frameworks to monitor data freshness, schema drift, and semantic accuracy.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Operational Excellence &amp; CI/CD: </b><b>Drive engineering best practices by implementing rigorous CI/CD workflows for data pipelines, emphasizing automated testing, version control for SQL/Python transformations, and proactive performance tuning.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Cross-Functional System Design: </b><b>Collaborate with Product Managers and Engineering leaders to translate complex business requirements into scalable technical architectures, prioritizing data lineage, transparency, and low-latency access to trusted metrics.<br>
</b><br>
</h3></li></ul><p><b>Qualifications:
</b></p><ul><li><p>8+ years of experience as a Data Engineer or in a similar role.
</p></li><li><p>A related technical degree required.
</p></li><li><p>Proficiency in data engineering tools and languages, such as Python, SQL, and Spark.
</p></li><li><p>Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc.
</p></li><li><p>Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
</p></li><li><p>Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques.
</p></li><li><p>Experience with the Salesforce Ecosystem, specifically Data Cloud.
</p></li><li><p>Problem-solving skills to troubleshoot and resolve data-related issues.
</p></li><li><p>Excellent communication skills and ability to collaborate in a cross-functional environment.
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
<p></p>At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $172,500 - $260,100 annually. &amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div><p></p>

Lead Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The North American Stores Expansion Team is seeking an experienced and motivated Data Engineer to work on driving strategic projects across multiple geographies. We collaborate with Retail, SCOT (Supply Chain Optimization Technologies), AIT (Amazon Inbound Transportation), Vendor Negotiations, and Canada Product teams to develop scalable analytics applications, AI/ML products, and research models that optimize operations and enable business expansion. The environment is fast-paced with constant new challenges to solve.<br>
<br>
The ideal candidate will have good leadership skills, proven ability to develop, enhance, automate, and manage analytics models and data pipelines. The candidate will have strong data mining and modeling skills and will be comfortable facilitating idea creation and working from concept through to execution. This role will also build tools and support structures needed to analyze data and dive deep to determine root causes of systems errors. The candidate will also have the opportunity to present findings to cross functional team partners to drive improvements. The ideal candidate will have a proven ability to work with Applied Scientists, Data Scientists, Software Development Engineers, Product Managers and Business Partners to solve challenging analytical problems. The candidate must be comfortable using intellect, curiosity and technical ability to develop innovative solutions to business problems. The position requires ability to learn different aspects of the business and understand how to apply advanced analytics to solve high impact problems.<br>
<br>
A qualified candidate must have demonstrated ability to manage medium and large scale automation and modeling projects, identify requirements and build methodology and tools that are mathematically grounded but also explainable operationally, apply technical skills allowing the models to adapt to changing attributes. Strong written and verbal communication skills are a must as this role will be in frequent contact with leadership. The person in this role will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.<br>
<br>
Key job responsibilities<br>
Design, develop and maintain scalable data models, ETL/ELT processes, and ML pipelines using AWS services (S3, Redshift, Glue, Athena, Lake Formation)<br>
<br>
Analyze business data to optimize key processes in Retail and Supply Chain domains<br>
<br>
Collaborate with cross-functional teams (Scientists, Engineers, Program Managers) to deliver data solutions and implement predictive models<br>
<br>
Implement and maintain CI/CD pipelines while ensuring data governance, security, and compliance standards<br>
<br>
Monitor, optimize, and enhance data infrastructure to support analytics and machine learning<br>
<br>
Stay current with emerging technologies and mentor junior engineers in data engineering and MLOps best practices</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>3+ years of data engineering experience</li><li>Bachelor's degree</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li><li>Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.</li><li>Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.</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 - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer II , NA Stores Expansion

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
MULTIPLE POSITIONS AVAILABLE<br>
<br>
Employer: GOODREADS LLC<br>
Offered Position: Data Engineer III<br>
Job Location: Seattle, Washington<br>
Job Number: AMZ9689619<br>
<br>
Position Responsibilities:<br>
<br>
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers.<br>
<br>
Position Requirements:<br>
<br>
Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and three years of experience in the job offered, or as an Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and seven years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and three years of experience. Must have one year of experience in the following skill(s): (1) developing and operating large-scale data structures for business intelligence analytics using each of the following: (i.) ETL/ELT processes; (ii.) OLAP technologies; (iii.) data modeling; (iv.) SQL; and (v.) Oracle.<br>
<br>
Amazon.com is an Equal Opportunity-Affirmative Action Employer &ndash; Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.<br>
<br>
40 hours / week, 8:00am-5:00pm, Salary Range $196,914/year to $209,100/year.<br>
<br>
Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit:<br>
https://www.aboutamazon.com/workplace/employee-benefits.#0000</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><p>
Position Requirements:<br>
<br>
Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and three years of experience in the job offered, or as an Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and seven years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and three years of experience. Must have one year of experience in the following skill(s): (1) developing and operating large-scale data structures for business intelligence analytics using each of the following: (i.) ETL/ELT processes; (ii.) OLAP technologies; (iii.) data modeling; (iv.) SQL; and (v.) Oracle.#0000</p><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><p>
Please see job description and the position requirements above.<br>
<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></div>

Data Engineer III - AMZ9689619

<p>Apple&rsquo;s App Store is the world&rsquo;s largest and most innovative app marketplace, home to over 1.5 million apps and serving more than half a billion customers every week across all Apple devices. Since the App Store launched in 2008, it has changed how we all live; it has enabled countless new companies, spawned new industries, and built millions of jobs. But we believe we are just getting started.<br>
<br>
We&rsquo;re seeking a highly skilled Software Data Engineer to join the App Store Data organization. In this role, you will help shape the next generation of App Store insights and data products by building scalable, privacy-forward data pipelines, analytical solutions, and actionable insights. Our team enables data-driven innovation for external partners, while maintaining data quality, privacy, and engineering excellence as first-class citizens.<br>
<br>
Our teams remain small, highly collaborative, and cross-functional, providing deep ownership and broad exposure to impactful opportunities.<br>
<br>
<b>Description</b><br>
<br>
As a member of the App Store Data team, you will play a key role in building large-scale distributed data systems.<br>
<br>
This is a software engineering role with strong analytics responsibilities. We build robust, production-quality code and process petabytes of data daily.<br>
<br>
Data is our core product, and we care deeply about its correctness, semantics, lineage, and usability.&quot;,&quot;responsibilities&quot;:&quot;In this role, you will:<br>
<br>
Design, build, and maintain efficient, scalable, and reliable data pipelines using Spark, Flink, or similar distributed systems.<br>
<br>
Implement service layer components that encapsulate business logic and expose data products to downstream clients.<br>
<br>
Develop high-quality software in Scala, Python, or Java following best practices (code reviews, testing, CI/CD).<br>
<br>
Manage real-time and batch data systems across technologies such as Hadoop, Iceberg, Kafka, Airflow, and Kubernetes.<br>
<br>
Conduct exploratory analysis and help define KPIs, metrics, and data quality standards.<br>
<br>
Work closely with engineering, product, privacy, compliance, and other internal partners to design new features and data products.<br>
<br>
Partner with SRE teams to monitor, troubleshoot, and optimize large-scale production workloads.<br>
<br>
Review code, mentor teammates, and contribute to a collaborative and inclusive engineering culture.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Familiarity with functional programming concepts.<br>
<br>
Understanding of emerging AI/ML techniques and their application to large-scale analytics.<br>
<br>
Experience working in data privacy, trust &amp; safety, compliance, or governance domains.<br>
<br>
Skilled in writing design documents and technical specifications for new data products.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
5+ years of experience in data engineering, analytics engineering, software data engineering, or similar roles.<br>
<br>
Experience building and maintaining service layer applications, including data access patterns and integration with backend data systems.<br>
<br>
Strong programming skills in Scala or Java.<br>
<br>
Expert-level proficiency with SQL and advanced data manipulation techniques.<br>
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Hands-on experience with big-data technologies (Hadoop/HDFS, Spark/Flink, Kafka, Airflow, Iceberg, or related tools).<br>
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Proven track record building scalable, production-quality distributed data pipelines.<br>
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Deep understanding of computer science fundamentals-algorithms, data structures, complexity.<br>
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Excellent communication skills and ability to work in a highly cross-functional environment.<br>
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Bachelor's degree or equivalent work experience in Computer Science, Engineering, Business Information Systems, or other quantitative degree.<br>
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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>
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<b>Pay &amp; Benefits</b><br>
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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>
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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>
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Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Software Data Engineer - App Store

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?<br>
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Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.<br>
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Key job responsibilities<br>
This is an impactful role within Prime Video (PV) Commerce Analytics, supporting major PV investments in 2026. As a Data Engineer, you will work in one of the world's largest and most complex data warehouse environments, designing and implementing scalable data infrastructure solutions that integrate multiple heterogeneous data sources.<br>
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You will leverage AWS big data technologies including Redshift, EMR/Spark, Andes Data Lake, and native AWS services to build and maintain data pipelines that ingest data from Video Commerce, Digital Commerce, Prime, and Device Platform teams. Your curated datasets will serve 50+ downstream teams for reporting, analysis, machine learning models, and ad-hoc requests.
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You will build high-performing, scalable data products that directly enable data-driven decision making across Prime Video.
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Key responsibilities include:<br>
<ul><li>Design complex data pipelines and models powering subscription, transaction, and device registration datasets</li><li>Deliver scalable data solutions on native AWS infrastructure</li><li>Develop data quality validation frameworks and monitoring solutions ensuring data integrity and timeliness</li><li>Build and optimize batch and near real-time processing workflows using Spark, Redshift, and Andes</li><li>Create robust orchestration and monitoring for workflows with complex dependencies</li><li>Collaborate with cross-functional teams to onboard new data sources</li></ul><br>
About the team<br>
The team is primarily based in Seattle with additional presence in New York and London. A data-driven organization focused on Prime Video's growth and commerce analytics, with strong representation in business intelligence, data engineering, and product management functions supporting Prime Video's commercial and analytical needs.<br>
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Cross-functional team building intelligent systems that integrate content and data to deliver personalized customer experiences across streaming, live events, and emerging formats.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with SQL</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</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>
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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 - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer, PV Prime Video TV - Tech

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