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data analytics engineer - apple services engineering Jobs in Seattle

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data bricks data engineer

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data developer

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

Expedia Group

<div><p>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.</p><p></p><p><b>
Why Join Us?</b></p><p>
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.</p><p></p><p>
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.</p><p></p><p><b>
Senior Product Manager, Lodging Connectivity</b></p><p></p><p><b>
Introduction to the team:</b></p><p>
The Lodging Connectivity team connects a broad range of global hotel and vacation rental inventory to Expedia Group through partnerships with software companies and advanced API technology. We are a passionate group of product managers who are customer‑ and partner‑focused, and dedicated to leading the hospitality industry in API connectivity innovation. We work closely with connectivity providers, channel managers, and suppliers to ensure our technology is robust, scalable, and easy for our software partners to adopt.</p><p></p><p>
We are looking for an experienced Senior Product Manager to lead the strategy and execution of Lodging Connectivity&rsquo;s developer and testing tools platform, with a strong emphasis on AI‑powered experiences.</p><p></p><p>
This role focuses on innovating and scaling the tooling that partners and developers use to build, test, and maintain high‑quality integrations with Expedia Group spanning APIs, SDKs, sandbox and certification environments. You will deeply understand the end‑to‑end developer journey and use AI to make it faster, safer, and more intuitive for partners to integrate and iterate.</p><p></p><p>
You will work across product, engineering, data science, operations, and marketing teams as well as supply partners to ensure our tools not only meet market and developer needs, but consistently exceed them&mdash;reinforcing Expedia Group&rsquo;s leadership in connected lodging supply.</p><p></p><p><b>
In this Role, You Will:
</b></p><ul><li><p><b>Define and own the product vision and strategy for Lodging Connectivity&rsquo;s developer and testing tools</b> (portals, SDKs, sandboxes, certification frameworks, test harnesses, observability) to accelerate high‑quality partner integrations and connectivity outcomes.</p></li><li><p><b>
Shape an AI‑powered developer experience</b>, identifying where generative AI and machine learning (e.g., code assistants, test generation, anomaly detection, intelligent documentation) can significantly improve developer productivity, integration quality, and time‑to‑value.</p></li><li><p><b>
Craft end‑to‑end developer experiences</b> inspired by leading API and tooling platforms (e.g., clear onboarding journeys, quickstarts, SDKs, MCP, AI skills) so developers can self‑serve, test confidently, and ship integrations with speed, quality, and trust.</p></li><li><p><b>
Represent the voice of the developer and connectivity partner</b> through all stages of the product lifecycle, from discovery and design to launch and iteration</p></li><li><p><b>
Own product requirements and portfolio trade‑offs</b>, translating business and partner use cases into clear, testable specifications and sequencing work across multiple engineering teams and tool surfaces.</p></li><li><p><b>
Drive innovative product ideation</b> by staying ahead of trends in developer tooling, testing, and AI</p></li><li><p><b>
Lead backlog prioritization and execution</b> using defensible frameworks (e.g., impact/effort, ROI, risk, developer satisfaction), writing clear user stories and acceptance criteria, and ensuring shipped tools are robust, secure, observable, and easy to adopt.</p></li><li><p><b>
Use data and experimentation to guide decisions</b>, defining and monitoring KPIs/OKRs such as developer onboarding time, integration success rate, test coverage and automation levels, incident rates, partner satisfaction, and API reliability.</p></li><li><p><b>
Collaborate with cross‑functional stakeholders</b> (engineering, program management, support, account management, marketing, legal, compliance, data science) to align on strategy, manage dependencies, and deliver integrated solutions for partners.</p></li><li><p><b>
Communicate clearly and often</b>, tailoring messages to technical and non‑technical audiences&mdash;whether you&rsquo;re reviewing payload designs and test strategies with engineers, discussing AI risk and governance with legal, or presenting tradeoffs to senior leaders.</p></li></ul><p></p><p><b>
Minimum qualifications:</b></p><ul><li><p><b>
Product management experience:</b> Typically <b>6+ years</b> in product management or a closely related role, with meaningful time operating at <b>Senior PM level</b> or equivalent, driving strategy and execution for complex technical products.</p></li><li><p><b>
Developer tools and testing experience:</b> Proven experience owning or working very closely with <b>developer platforms and testing tools</b> such as developer portals, SDKs, certification testing or sandbox environments.</p></li><li><p><b>
AI product experience:</b> Hands‑on experience <b>building or integrating AI/ML‑powered capabilities</b> (e.g., LLM‑based assistants, AI‑generated documentation or tests, anomaly detection) into developer or platform products, with an understanding of both opportunities and risks.</p></li><li><p><b>
API and platform fluency:</b> Comfortable collaborating deeply with engineers; able to read and reason about API designs and payloads, understand common integration patterns, and debate tradeoffs across reliability, performance, and usability.</p></li><li><p><b>
Customer and partner centricity:</b> Proven ability to represent external developers and partners in product discovery, prioritization, and design&mdash;balancing their needs with platform constraints and long‑term strategy.</p></li><li><p><b>
Data‑driven decision making:</b> Experience using data, experimentation, and qualitative insights to prioritize work, measure impact, and iterate on features; confident working with product analytics, A/B tests, and operational metrics for APIs and tooling.</p></li><li><p><b>
Execution and collaboration:</b> Strong track record of delivering outcomes in an agile environment, managing roadmaps across multiple teams, and collaborating effectively with engineering, program management, support, and commercial teams.</p></li><li><p><b>
Communication and influence:</b> Excellent written and verbal communication skills, with the ability to simplify complex technical topics, build shared understanding, and influence stakeholders at multiple levels of the organization.</p></li><li><p><b>
Global and inclusive mindset:</b> Comfortable working across multiple geographies and time zones, with a track record of fostering inclusive, collaborative working relationships.</p></li></ul><p></p><p><b>
Preferred qualifications:</b></p><ul><li><p><b>
Domain experience:</b> Background in hospitality, travel, marketplaces, connectivity, or other supply‑driven businesses; familiarity with lodging or vacation rental connectivity is a plus.</p></li><li><p><b>
Integration and partner experience:</b> Experience translating partner use cases into technical requirements, reviewing API and event designs, and providing feedback based on missing or unclear business needs.</p></li><li><p><b>
AI and platform ecosystem awareness:</b> Understanding of the broader AI and developer ecosystem (MCP, AI skills, SDKs, popular CI/CD and testing frameworks) and how to leverage it to build a modern, compelling developer platform.</p></li></ul><p></p>
The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.<p></p><p>
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future.</p><p></p><p>
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.</p><p></p><p><b>
Accommodation requests</b></p><p>
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.</p><p></p><p>
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.</p><p></p><p>
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50</p><p></p><p>
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.</p><p></p>
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Senior Product Manager

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online &ndash; providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional data engineer to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel<br>
<br>
Sellers&rsquo; trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by building and maintaining the data sources that power all of our decision making. Amazon&rsquo;s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems.
<br>
<br>
The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient &amp; automated processes. They know and love working with data engineering tools, can model multidimensional datasets, and can partner effectively with business leaders to build the right data pipelines to answer key business questions. They will build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. They will also be required to support and manage growth of these data solutions. They are analytical and creative, and don&rsquo;t quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results.
<br>
<br>
Key job responsibilities<br>
In this role, you will work on unifying fragmented data pipelines, building robust data models, and ensuring reliable data lineage across multiple product areas. You will partner closely with software engineers, product managers, and analytics teams to develop data solutions that drive innovation and operational excellence.<br>
<br>
The ideal candidate brings deep expertise in big data technologies, strong data modeling and problem-solving skills, and a track record of delivering scalable, maintainable data systems. If you&rsquo;re excited by the challenge of shaping data platforms that support real-world hardware, software, and operations, this is the role for you.<br>
<br>
A day in the life<br>
<ul><li>Architect and implement scalable, reliable, and secure data pipelines and infrastructure to support analytics, reporting, and business operations.</li><li>Design and enforce data modeling standards, data lineage, and governance frameworks that ensure consistency, re-usability, and quality across systems.</li><li>Lead design and code reviews, driving engineering best practices across data development, documentation, testing, and monitoring.</li><li>Build data platforms and frameworks that support both batch and real-time processing, enabling flexible, efficient analytics at scale.</li><li>Implement secure and compliant data solutions that meet internal and external regulatory requirements (e.g., GDPR).</li><li>Evaluate and introduce emerging technologies to improve data platform performance, cost efficiency, and scalability.</li><li>Collaborate with cross-functional teams to gather data requirements, define solution architectures, and ensure alignment with business needs.</li><li>Mentor junior engineers and contribute to team hiring and onboarding</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</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>
<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, SPTC

Persistent Systems

<div><div><div><p><b>Job Description
</b></p></div><div><div><div><p><b>
About Persistent</b></p><br>
<p></p>
<p>We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what&rsquo;s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.</p><br>
<p></p>
<p>Our disruptor&rsquo;s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 23 sequential quarters of growth with $422.5M in Q3 FY26 revenue, up 4.0% Q-o-Q and 17.3% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence&trade; Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PEAK Matrix&reg; Assessment 2025.</p><br>
<p></p>
<p><b>About Position:</b></p><br>
<p></p>
<p></p><p>We are seeking an experienced Data Engineer to join our team in Seattle, Washington. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and backend data solutions that support analytics, reporting, and business operations. You will work with modern Azure cloud technologies&mdash;including Azure Data Factory, Databricks, and Azure SQL Server&mdash;to implement robust ETL/ELT workflows and data models. This position requires strong backend development experience, excellent problem‑solving skills, and the ability to collaborate effectively with cross‑functional teams in an agile environment.</p><br>
<p></p>
<ul><li><b>Role: Data Engineer</b></li>
<li><b>Job Location: </b><b>Seattle, Washington, United States</b></li>
<li><b>Experience: 5+ Years</b></li>
<li><b>Job Type: Full Time Employment</b></li></ul><br>
<p>
</p><p><b>What You'll Do:</b></p><br>
<p></p>
<p></p><ul><li>Design, develop, and maintain scalable data pipelines and backend data solutions using Python and Azure cloud services.</li>
<li>Build and optimize ETL/ELT workflows using Azure Data Factory and Azure Databricks.</li>
<li>Develop and maintain data models, warehouse structures, and integration layers to support analytics and business intelligence.</li>
<li>Work with Azure SQL Server and related cloud data services to create efficient, secure, and reliable data storage solutions.</li>
<li>Collaborate closely with data analysts, architects, and business teams to understand data requirements and deliver high‑quality solutions.</li>
<li>Implement best practices in code quality, performance optimization, and DevOps automation.</li>
<li>Troubleshoot and resolve complex data processing issues, ensuring reliability and accuracy across the data ecosystem.</li>
<li>Participate in Agile ceremonies and contribute to continuous improvement within the engineering team.</li></ul><br>
<p>
</p><p><b>Expertise You'll Bring:</b></p><br>
<p></p>
<ul><li>5+ years of experience in backend and database development within the IT industry.</li>
<li>Strong hands-on expertise in data engineering, with deep technical skills in Python, Azure Data Factory, Azure Databricks, and Azure SQL Server.</li>
<li>Solid understanding of data modeling, data warehousing concepts, and ETL/ELT pipeline development.</li>
<li>Working knowledge or exposure to Azure Synapse Analytics (added advantage).</li>
<li>Experience working within Agile delivery models and familiarity with DevOps practices, CI/CD, and automation.</li>
<li>Strong analytical and problem‑solving abilities with the capability to design, implement, and optimize complex data-processing solutions.</li>
<li>Ability to collaborate effectively with cross-functional teams, ensuring smooth communication and alignment across engineering, analytics, and business teams.</li>
<li>Good written and verbal communication skills, with a proactive and solution-oriented approach.</li></ul><br>
<p>
</p><p><b>Benefits:</b></p><br>
<p></p>
<ul><li>Competitive salary and benefits package</li>
<li>Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications</li>
<li>Opportunity to work with cutting-edge technologies</li>
<li>Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards</li>
<li>Annual health check-ups</li>
<li>Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents</li></ul><br>
<p>
</p><p><b>Values-Driven, People-Centric &amp; Inclusive Work Environment:</b></p><br>
<p></p>
<p>Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.</p><br>
<p></p>
<ul><li>We support hybrid work and flexible hours to fit diverse lifestyles.</li>
<li>Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.</li>
<li>If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment</li></ul><br>
<p>
</p><p><b>Let&rsquo;s unleash your full potential at Persistent - </b><b>persistent.com/careers</b></p><br>
<p></p>
<p><b><i>&ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;</i></b></p>
</div></div></div></div><div></div><div><div><div><p><b>1</b></p></div><div><div>
Open Positions
</div></div></div></div><div><div><div><p><b>Database,Cloud - Microsoft Azure DevOps</b></p></div><div><div>
Skills Required
</div></div></div></div><div><div><div><p><b>Seattle, WA, USA</b></p></div><div><div>
Location
</div></div></div></div><div><div><div><p><b>Database,Cloud - Microsoft Azure DevOps,Other,Azure,Azure DevOps</b></p></div><div><div>
Desirable Skills
</div></div></div></div><div><div><div><p><b>5 to 10 years</b></p></div><div><div>
Years Of Exp
</div></div></div></div><div><div><div><p><b>163571</b></p></div><div><div>
Job Code</div></div></div></div></div><p></p>

Data Engineer

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to build data engineering solutions that process billions of records a day in a scalable manner using AWS technologies? Do you want to build the next-generation system for intuitive data access?<br>
<br>
Amazon's Finance Technology team is seeking truly innovative Data Engineer to join the team that is shaping the future of the finance/accounting systems. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time) and is a passionate about data and analytics. Amazon has culture of data-driven decision-making, and demands data that is timely, accurate, and actionable, to meet that need you will work with customers, design and develop data solutions that facilitate and influence day to day decision making.<br>
<br>
As a Data Engineer, we expect you to have expertise with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud). You are expected to have experience with design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the existing platform. Having strong analytical skills is a plus. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.<br>
<br>
Key job responsibilities<br>
<br>
Design, implement, and support a platform providing secured access to large datasets<br>
Interface with Tax, Finance and Accounting customers, gathering requirements and delivering end-to-end BI solutions<br>
Model data and metadata to support ad-hoc and pre-built reporting<br>
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions<br>
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation<br>
Tune application and query performance using profiling tools and SQL<br>
Analyze and solve problems at their root, stepping back to understand the broader context<br>
Learn and understand a broad range of Amazon&rsquo;s data resources and know when, how, and which to use<br>
Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS services<br>
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets<br>
Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment</p><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>
<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 - Finance Technology, Finance Technology

Whatnot

<div>
 <strong>
  <strong>
   🚀 Join the Future of Commerce with Whatnot!
   <br/>
   <br/>
  </strong>
 </strong>
 Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 <br/>
 <br/>
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 <br/>
 <br/>
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 <br/>
 <br/>
 <strong>
  💻 Role
  <br/>
  <br/>
 </strong>
 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
 <br/>
 <br/>
 As our newest
 <strong>
  Data Engineer
 </strong>
 , you&rsquo;ll build and scale the systems that power data-driven decisions across the company. You&rsquo;ll work directly with stakeholders across the business &ndash; such as product, sales, marketing, finance, and trust teams &ndash; to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot&rsquo;s internal and external growth.
 <br/>
 <br/>
 <strong>
  On Any Given Day, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
  </li>
  <li>
   Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains&mdash;user activity, transactions, experimentation, marketing performance, and operational telemetry&mdash;with tight guarantees for latency, completeness, and accuracy.
  </li>
  <li>
   Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
  </li>
  <li>
   Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
  </li>
  <li>
   Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
  </li>
  <li>
   Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.
   <br/>
   <br/>
  </li>
 </ul>
 Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams.
 <br/>
 <br/>
 <strong>
  👋 You
  <br/>
  <br/>
 </strong>
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 <br/>
 <br/>
 <ul>
  <li>
   Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
  </li>
  <li>
   Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
  </li>
  <li>
   Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
  </li>
  <li>
   Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
  </li>
  <li>
   Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
  </li>
  <li>
   Enjoy partnering across disciplines&mdash;engineering, product, analytics&mdash;to translate messy business requirements into elegant data systems.
  </li>
  <li>
   Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.
   <br/>
   <br/>
  </li>
 </ul>
 If designing the data backbone that powers Whatnot&rsquo;s growth, insights, and product innovation excites you, we&rsquo;d love to meet you.
 <br/>
 <br/>
 <strong>
  We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
  <br/>
  <br/>
 </strong>
 <strong>
  💰Compensation
  <br/>
  <br/>
 </strong>
 <strong>
  For Full-Time (Salary)
  <br/>
  <br/>
 </strong>
 <strong>
  US based applicants:
 </strong>
 $180,000/year to $260,000/year + benefits + equity.
 <br/>
 <br/>
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 <br/>
 <br/>
 <strong>
  🎁 Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Generous Holiday and Time off Policy
  </li>
  <li>
   Health Insurance options including Medical, Dental, Vision
  </li>
  <li>
   Work From Home Support
  </li>
  <ul>
   <li>
    Home office setup allowance
   </li>
   <li>
    Monthly allowance for cell phone and internet
   </li>
  </ul>
  <li>
   Care benefits
  </li>
  <ul>
   <li>
    Monthly allowance for wellness
   </li>
   <li>
    Annual allowance towards Childcare
   </li>
   <li>
    Lifetime benefit for family planning, such as adoption or fertility expenses
   </li>
  </ul>
  <li>
   Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  </li>
  <li>
   Monthly allowance to dogfood the app
  </li>
  <ul>
   <li>
    All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
   </li>
  </ul>
  <li>
   Parental Leave
  </li>
  <ul>
   <li>
    16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
   </li>
  </ul>
 </ul>
 <strong>
  <strong>
   💛 EOE
   <br/>
   <br/>
  </strong>
 </strong>
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 <br/>
 <br/>
 Compensation Range: $180K - $260K
 <br/>
 <br/>
</div>


Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><ul><li>Awareness of IBM Data Stage ETL/ELT data integration tool to understand existing code.
</li></ul><ul><li>Develop , Test , Deploy ,Optimize, and monitor large-scale data processing workloads in Azure Data Bricks ETL.
</li></ul><ul><li>Ensure and lead the efforts to review Legacy Data Stage legacy code and migrated Data bricks code to ensure functionality is not deviated
</li></ul><ul><li>Strong programming skills in Python and PySpark.
</li></ul><ul><li>Advanced proficiency writing SQL for analytics and ETL processes.
</li></ul><ul><li>Proven experience building and optimizing complex data pipelines in Azure.
</li></ul><ul><li>Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance.
</li></ul><ul><li>Strong working knowledge of core Azure services: Storage Account, Synapse, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, service principals, and managed identities.
</li></ul><ul><li>Experience with container services (ACA, container instances) and containerized data workloads.
</li></ul><ul><li>Familiarity with Azure networking concepts and secure network integration for data platforms.
</li></ul><ul><li>Experience creating Azure infrastructure using ARM templates.
</li></ul><ul><li>Proficient with GitLab and Azure DevOps for CI/CD and source control workflows.
</li></ul><ul><li>Strong analytical, problem-solving, and communication skills; proven ability to work cross-functionally.
</li></ul><ul><li>Experience working in Agile teams and understanding of data governance frameworks.</li></ul><br>
<div><br>
</div><div>Responsibilities
</div><ul><li>Design, develop, and maintain end-to-end data pipelines and ETL/ELT workflows using PySpark and Python.
</li></ul><ul><li>Ensure and lead the efforts to review Legacy Data Stage legacy code and migrated Data bricks code to ensure functionality is not deviated
</li></ul><ul><li>Implement, optimize, and monitor large-scale data processing workloads in Azure Databricks, including cluster configuration, autoscaling, and governance.
</li></ul><ul><li>Build and maintain data integration and orchestration solutions using Azure services to meet performance, availability, and security requirements.
</li></ul><ul><li>Collaborate with data consumers, thread authors/owners, and stakeholders to gather business requirements, prioritize needs, and translate analytical objectives into technical designs.
</li></ul><ul><li>Implement secure data access patterns using Azure Active Directory, Managed Identities, and service principals.
</li></ul><ul><li>Author Infrastructure-as-Code for Azure resources (ARM templates) and deploy consistent, repeatable environments.
</li></ul><ul><li>Configure and operate Azure components including Storage Account, Synapse, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, Azure Container Apps / container instances, and related services.
</li></ul><ul><li>Collaborate with networking and security teams to design and implement Azure networking for data solutions.
</li></ul><ul><li>Implement monitoring, alerting, and cost optimization for data workloads (Log Analytics, metrics, and dashboards).
</li></ul><ul><li>Use GitLab and Azure DevOps for source control, CI/CD pipelines, and release management.
</li></ul><ul><li>Follow Agile/Scrum practices and participate in sprint planning, standups, and retrospectives.
</li></ul><ul><li>Ensure solutions meet data governance, lineage, and compliance requirements.
</li></ul><ul><li>Operations Support and Oncall Support for Production Issues and Deployments.
</li></ul><ul><li>Excellent communication Skills
</li></ul><ul><li>Ability to collaborate with Legacy and Modernize application teams and stake holders</li></ul><br>
<div><br>
</div><div>Base Salary R ange: $120,000 - $140,000 per annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:</div><br>
<div><br>
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</div><br>
<div><br>
</div><div>#LI-SV2
</div><div>#LI-KUMARAN
</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>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>403636</div>
</div><div><div><b>Desired Skills</b></div>
<div>Datastage
</div></div><div><div><b>Salary Range</b></div>
<div>$120,000-$140,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Data Bricks Data Engineer

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