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bi engineer - data analytics

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data engineer iii

big data engineer

Apple

<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. This team powers the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books, operating at massive scale and meeting Apple&rsquo;s high standards for performance and quality to deliver entertainment in over 35 languages across more than 150 countries.<br>
<br>
We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings a deep passion for building large-scale distributed data processing systems, frameworks, and platforms using big data technologies.<br>
<br>
<b>Description</b><br>
<br>
As a team member of the ASE Analytics &amp; Data Engineering team, you will have significant responsibility and influence in shaping the team&rsquo;s future direction. This role is inherently cross-functional, and the ideal candidate will work closely across disciplines. We are looking for someone with a strong love for data and the ability to iterate quickly across all stages of the data pipeline lifecycle.<br>
<br>
This position involves working on a small, highly collaborative team to develop large-scale data pipelines and analytical solutions using big data technologies. Successful candidates will demonstrate strong engineering and communication skills, along with a belief that data-driven processes lead to exceptional products. You should have a passion for quality and an ability to understand and evolve sophisticated systems.<br>
<br>
&quot;,&quot;responsibilities&quot;:&quot;You will have the opportunity to:<br>
<br>
Work with a cross-functional team, collaborating with partners across product, engineering, operations, and business, and closely partner with stakeholders to translate requirements into scalable engineering solutions<br>
<br>
Help drive architectural vision to support future growth and opportunities<br>
<br>
Design, build, and maintain data pipelines and datasets that power key product features and insights, while protecting user privacy<br>
<br>
Own data quality, scalability, and SLAs for assigned datasets and pipelines<br>
<br>
Champion technical excellence and cultivate team spirit by contributing to best practices, documentation, shared tools, and solutions to common problems<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Excellent collaboration and communication skills, with the ability to listen, influence, and drive solutions cohesively<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, a related quantitative field, or equivalent practical experience<br>
<br>
6+ years of experience building production systems using Java and/or Scala, with strong proficiency in Java and/or Scala for large-scale distributed data processing and familiarity with functional programming paradigms.<br>
<br>
Deep understanding of distributed batch and streaming data processing systems such as Spark, Flink, and Kafka<br>
<br>
Experience with big data ecosystem technologies such as HDFS, Hadoop, S3, MPP database, Kubernetes and Airflow.<br>
<br>
Proven track record of designing, launching, and scaling production-quality data pipelines that power product features<br>
<br>
Strong data intuition, backed by solid SQL and data analysis skills<br>
<br>
Experience with GDPR compliance and best practices for collecting, processing, and sharing data responsibly<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 $175,000 and $308,500, 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>

Software Engineer, Big Data - Apple Services Engineering

Whatnot

<div>
 <strong>
  <strong>
   🚀 Join the Future of Commerce with Whatnot!
   <br/>
   <br/>
  </strong>
 </strong>
 Whatnot is the largest live 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>


Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Every strikethrough price, reference price, and savings number customers see on Amazon depends on data systems that must be fast, accurate, explainable, and available across the world. This role owns the data foundation behind those experiences. You will design the pipelines, data lakes, and quality mechanisms that help Amazon tell customers when an offer is a good value, power AI shopping experiences with trusted pricing data, and give business leaders a reliable view of how pricing experiences are working at Amazon scale.<br>
<br>
The scale is rare. Your systems feed shopping detail pages, search, cart, deals, international marketplace launches, finance analysis, and executive reviews across tens of marketplaces and billions of customer impressions a day. The leverage is rarer still. A schema choice, freshness contract, or quality standard you set becomes the way many teams across Pricing build, consume, and reason about reference-price data.<br>
<br>
We are looking for a senior data-engineering owner who wants to build, not just operate. The next twelve months include modernizing legacy pipelines onto a more flexible platform, creating new customer-impression datasets, improving data discoverability and lineage, and setting the next-generation organizational data architecture for how Pricing teams build and consume reference-price data. You will also help lead the transformation of data engineering in Pricing into the agentic AI era, using AI agents for migration, validation, and operational leverage while keeping human judgment where architecture, data contracts, and quality bars matter most.<br>
<br>
Key job responsibilities<br>
<ul><li>Design, build, and operate production-grade data pipelines for reference prices, strikethrough prices, savings data, and customer-impression datasets across worldwide marketplaces.</li><li>Build solid data lakes that power S-Team, leadership, finance, product, and analytics requests on reference-price topics, with discoverability, lineage, and quality checks designed in so BIEs and analysts can answer questions quickly and reproducibly.</li><li>Set the data architecture for how upstream pricing signals are transformed into trusted downstream datasets used by shopping experiences, AI features, executive analytics, and ad-hoc deep dives.</li><li>Lead cross-team data contracts across Pricing, Search, shopping detail pages, Deals and Promotions, international marketplaces, and partner teams that consume reference-price data.</li><li>Modernize legacy data pipelines onto modern data platforms, including cutover design, validation strategy, backfill planning, operational readiness, and deprecation of redundant datasets.</li><li>Raise the operational bar for data freshness, completeness, data-quality monitoring, and incident response across high-scale pricing datasets.</li><li>Mentor data engineers and software development engineers on data modeling, pipeline design, migration patterns, and high-quality operational mechanisms.</li><li>Lead the transformation of data engineering across the Pricing organization into the agentic AI era. Define when agents should handle rote migration or validation work, how engineers verify those outputs, and how proven patterns become team-wide standards.</li></ul><br>
A day in the life<br>
You start the morning deep in a design doc, sketching the schema for a new reference-price dataset and writing the freshness contract that downstream teams will build against. Late morning, you ship a small but high-leverage code review that removes duplicate logic from an existing pipeline. You head out to lunch with the software engineering team.<br>
<br>
Back at your desk, you kick off an AI agent to migrate a legacy pipeline onto the modern data platform, then settle into a focused block on the harder pieces of the same modernization: the cutover plan is written, validation jobs are running, and the first batch lands for a downstream consumer to sanity-check. You close the day landing a new dataset version that the BIE team will turn into the weekly business-review slide for an SVP read.<br>
<br>
About the team<br>
Price Perception and Evaluation owns the customer-facing pricing experiences that help customers understand value on Amazon, including reference prices, strikethrough prices, savings messages, and the data foundations behind those experiences. We sit at the intersection of pricing, shopping customer experience, data engineering, product, and analytics. Our work has unusually broad reach because the same data foundation serves production shopping surfaces, AI shopping features, business analytics, and leadership inspection.<br>
<br>
We are a builder-heavy team with a high bar for technical judgment. We value simple architectures, strong ownership, precise data definitions, and mechanisms that make the right thing easy for partner teams. We are also actively changing how data engineering work gets done by using AI agents to accelerate migrations and operations while keeping engineers focused on design, correctness, and long-term maintainability.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with SQL</li><li>Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS</li><li>Experience mentoring team members on best practices</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with big data technologies such as: Hadoop, Hive, Spark, EMR</li><li>Experience operating large data warehouses</li><li>Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience troubleshooting and documenting findings</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.</div>

Senior Data Engineer, Price Perception and Evaluation

Costco Wholesale

<div><div><p>Costco IT is responsible for the<b> </b><b>technical future of Costco Wholesale</b>, the third largest retailer in the world with wholesale operations in fourteen countries. Despite our size and explosive international expansion, we continue to provide a family, employee centric atmosphere in which our employees thrive and succeed.</p><p>
This is an environment <b>unlike anything in the high-tech world</b> and the secret of Costco&rsquo;s success is its culture. The value Costco puts on its employees is well documented in articles from a variety of publishers including Bloomberg and Forbes. Our employees and our members come FIRST. Costco is well known for its generosity and community service and has won many awards for its philanthropy. The company joins with its employees to take an active role in volunteering by sponsoring many opportunities to help others.</p><p>
Come join the <b>Costco Wholesale IT family</b>. Costco IT is a dynamic, fast-paced environment, working through exciting transformation efforts. We are building the next generation retail environment where you will be surrounded by dedicated and highly professional employees.</p><p>
Business Intelligence<b> (BI) Engineers</b> are responsible for the successful delivery, design, and support of high visibility desktop reports, mobile reports, and dashboards. BI Engineers leverage BI applications in accordance with application development standards and best practices. BI Engineers work closely with Product Owners and UI/UX Designers during wireframe and prototype development. This role will also engage with Architects (Solution/Data), Engineers (Data, Platforms, DevOps, etc.), and Stakeholders to deliver timely, accurate, high performing, and reliable BI products and solutions to end-users. BI Engineers identify ways to improve data reliability, efficiency, and quality of data management required for building BI applications and reports.</p><p>
If you want to be a part of one of the worldwide <b>BEST companies &ldquo;to work for&rdquo;</b>, simply apply and let your career be reimagined.</p><p><b>
ROLE</b></p><ul><li><div>
Owns responsibility for end-to-end development and support of Costco&rsquo;s BI reporting environments for ongoing metrics, reports, dashboards, etc.</div></li><li><div>
Assists in the design and development of proof of concept and prototype application environments.</div></li><li><div>
Adopts and adapts to newly approved technologies, programming languages, tools, and standards for business intelligence.</div></li><li><div>
Collaborates to ensure application designs utilize appropriate patterns and standards.</div></li><li><div>
Documents BI application specifications and produces operational support manuals.</div></li><li><div>
Analyzes business needs and software requirements to determine the feasibility of design within time and cost constraints, including the ability to estimate work needed.</div></li><li><div>
Identifies and interprets trends, patterns, and correlations among various data points.
</div></li><li><div>Assesses functional and nonfunctional requirements and creates designs to meet both business and technical needs.</div></li><li><div>
Designs builds and maintains automated reporting, dashboards, and analysis to enable teams to self-service data needs.</div></li><li><div>
Supports defining technical requirements, such as tool or platform selection criteria for the reporting environments.</div></li><li><div>
Assists in solution design efforts (i.e. analysis, data warehouse design, architecture) and understands the data warehouse or data marts implementation related to BI.</div></li><li><div>
Takes full responsibility for the balance between functional, system management, and service quality.</div></li><li><div>
Ensures the appropriate BI architectural standards are adhered to.</div></li><li><div>
Tests and resolves problems, performs root cause analysis, identifies gaps, recommends solutions and preventative measures.</div></li><li><div>
Automates, documents, shares, educates, delegates, and improves processes.</div></li><li><div>
Applies knowledge to practical and sustainable applications and capabilities.</div></li><li><div>
Partners with product owners, product managers, the solution leads, and other stakeholders to create and maintain robust datasets and models to support reporting and self-service solutions.</div></li><li><div>
Builds prototypes and wireframes of potential features.</div></li><li><div>
Translates business needs into technical specifications to deliver customized reporting and software solutions (BI, Advanced analytics, APIs/Services).</div></li><li><div>
Works in tandem with BI/Solution Architects, Data Architects, Data Stewards, Data Engineers, Data Scientists, and Data Quality Engineers to design efficient visualizations, score cards, dashboards, reports; and recommends ongoing optimization of BI data models, data sets, and data quality.</div></li><li><div>
Oversees the end-to-end development and support of Costco&rsquo;s BI reporting environments for ongoing metrics, reports, dashboards using Power BI, Power App, Power Automate, Airflow, UC4, Cloud Run, Azure Functions, and other technologies as needed.</div></li><li><div>
Creates data visualizations that illustrate data learnings and insights in an understandable and user-friendly manner through software UI / UX design using Power BI and other tools as needed.</div></li><li><div>
Creates, refines, and optimizes dashboards for reporting applications by connecting to one or many of the following: Big Query, Oracle, SAP BW, SAP HANA, and Azure services, such as Azure SQL DW (Synapse), ADLS, Cosmos, Databricks, Delta-Lake and fabric mirroring to improve and speed up delivery of BI solutions.</div></li><li><div>
Identifies, designs, and implements internal process improvements: automating manual processes, optimizing BI capabilities.</div></li><li><div>
Identifies ways to improve data reliability, efficiency, and quality of data management required for building BI applications and reports.</div></li><li><div>
Communicates technical concepts to non-technical audiences both in written and verbal form.</div></li><li><div>
Performs peer reviews for other BI engineers&rsquo; work.</div></li></ul><p><b>
REQUIRED</b></p><ul><li><div>
3+ years&rsquo; experience working with BI technologies and tools, such as Microsoft Power BI, IBM Cognos, SAP Webi and Tableau; proven and successful implementations of Microsoft Power BI.</div></li><li><div>
2+ years&rsquo; of experience with Power BI.</div></li><li><div>
1+ years&rsquo; using programing languages, such as DAX, MDX, SQL, Python, Java, C#</div></li><li><div>
1+ years&rsquo; BI related experience using ETL, Data warehousing management, Data Mining, Report Designer or development; ability to write complex SQL queries against a variety of data sources.</div></li><li><div>
Experience in using Azure cloud architecture, low code power apps, visualization technologies.</div></li><li><div>
Strong analytical and problem solving skills.</div></li></ul><h2 class="jobSectionHeader"><b>
Recommended</b></h2><ul><li><div>
BA/BS or higher in Computer Science, Engineering, or equivalent software/services experience.</div></li><li><div>
Microsoft Power BI, Power Apps, Power Automate, Microsoft Power Platforms, IBM Cognos, Tableau certifications.</div></li><li><div>
Azure Certifications.</div></li><li><div>
Experience with Git / Azure DevOps.</div></li><li><div>
Experience with Big Query.</div></li><li><div>
Experience delivering reporting design, visualizations, and solutions through agile software development methodologies.</div></li><li><div>
Experience working with sensitive data and ecommerce/distribution/logistics business areas.</div></li><li><div>
Exposure to the retail industry.</div></li><li><div>
Exposure to developing solutions for retail metrics (sales, inventory, margin, projections etc.).</div></li><li><div>
Excellent verbal and written communication skills.</div></li><li><div>
Experience with Airflow, UC4 Job Scheduler (or similar Job Schedulers), Cloud Run and Power Automate toolset.</div></li><li><div>
Proficient in Google Workspace applications, including Sheets, Docs, Slides, and Gmail.</div></li></ul><p><b>
Required Documents</b></p><ul><li>Cover Letter</li><li>Resume</li></ul><p></p><p><br>
California applicants, please review the Costco Applicant Privacy Notice.</p><p></p><p><br>
Pay Ranges:</p><p>
Level 1 - $85,000 - $110,000</p><p>
Level 2 - $105,000 - $135,000</p><p>
Level 3 - $130,000 - $160,000</p><p>
Level SR - $150,000 - $190,000, Bonus and Restricted Stock Unit (RSU) eligible</p><p>
Level Staff - $180,000 - $225,000, Bonus and Restricted Stock Unit (RSU) eligible</p><p></p><p><br>
We offer a comprehensive package of benefits including paid time off, health benefits - medical/dental/vision/hearing aid/pharmacy/behavioral health/employee assistance, health care reimbursement account, dependent care assistance plan, short-term disability and long-term disability insurance, AD&amp;D insurance, life insurance, 401(k), stock purchase plan to eligible employees.</p><div>
Costco is committed to a diverse and inclusive workplace. Costco is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to IT-Recruiting@costco.com</div><div>
If hired, you will be required to provide proof of authorization to work in the United States. In some cases, applicants and employees for selected positions will not be sponsored for work authorization, including, but not limited to H1-B visas.</div></div></div><p></p>

BI Engineer - Data Analytics

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<div><ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul></div><h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.</li>
<li>2 years of experience developing test automation in C++, Java or Python.</li>
<li>2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.</li>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience in developing cloud-based storage systems.</li>
<li>Experience tuning performance and scale in large-scale distributed systems.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
<br>
<br>
As a Software Engineer within Google Cloud Storage (GCS) Resource Engineering, you will make significant, independent technical contributions to our capacity planning, resource allocation, and efficiency platforms. You will design, code, and deploy features for GCS capacity pipelines, delivering end-to-end tasks to ensure Google&rsquo;s storage infrastructure never blocks AI workloads or scaling demands. You will own medium-to-large features from design to launch, directly supporting high-visibility initiatives that guarantee predictability, zonal isolation, and separation for customers. You will collaborate with senior engineers and partner teams to build advanced capacity solvers, automated guardrails, and resource fungibility models. You will align with GCS, Site Reliability Engineering (SRE), product partners to define technical requirements, leveraging Google&rsquo;s AI/ML tools to maximize engineering velocity and sustain operational excellence.Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
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US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits<br>
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Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design, code, test, and deploy new features and enhancements for the GCS Resource engineering capacity planning pipelines, actively leveraging Google's AI tools and platforms to enhance productivity and innovation throughout the development life-cycle.</li>
<li>Own medium-to-large-scale features from technical design through to launch and operation.</li>
<li>Collaborate with fellow engineers, product managers, and partner teams to define project requirements and deliver on the product roadmap.</li>
<li>Contribute to the monitoring, alerting, and overall production health of the system.</li>
<li>Develop and maintain fluency with the latest internal AI tools and best practices for software engineering, proactively identify opportunities to apply AI to improve efficiency.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, GCS Resource Engineering

Second Order Effects

<div><p><b>Company Overview:</b></p>
<p>
Second Order Effects started in 2016 as a services firm, taking on other companies' hardest engineering problems from first principles. We grew into a solutions firm that designs and ships complete custom electronics and systems, including power electronics, RF, and control systems. We've completed over 250 projects for more than 100 clients. Our designs control rocket engines, manage satellite communications, instrument fusion reactors, and are enjoyed by consumers around the world.</p>
<p>
We approach problems from first principles. We break challenges down to their most fundamental components, which is how we find solutions that hold up across industries, use cases, and engineering functions. We focus on solving the right problems and building the teams to take them on. Because we believe that training and empowering others yields a greater impact than focusing on developing any specific technology, we expect every single member of our team to participate in building up those around them.</p>
<p>
In the past year, we've started taking our own concepts and spinning them out into separate companies that we believe will meet the emerging needs of our clients and the industry at large. The work is concentrating in frontier technology, including space, fusion and fission energy, and advanced vehicles. We currently have two spinout companies in stealth that we're working on.<br>
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Information about SOE's mission, vision, and values can be found here.<br>
Examples of the projects SOE has worked on can be found here.</p><br>
<p></p>
<p><b>
The Role:</b></p>
<p>
As an Electrical Engineer, you will support the design, architecture, and implementation of high performance electrical systems across a diverse range of projects. You will work alongside a collaborative team of engineers to find and develop the right solutions for the problems at hand and client use case. If you're passionate about tackling mission-critical challenges and working across multiple industries, this is your chance to make a lasting impact and grow in a dynamic environment.</p><br>
<p></p>
<p><b>
Key Responsibilities:</b></p>
<ul>
<li>Drive design efforts for electronic systems, including architecture and implementation details of circuitry and software/firmware</li>
<li>Perform component selection and trade studies of different implementation options to best generate and satisfy design requirements</li>
<li>Capture schematics and design PCB layouts, create component symbols and footprints</li>
<li>Circuit simulation and thermal analysis of designs, including sizing of thermal management systems</li>
<li>Develop firmware in C/C++ for microcontrollers, or digital design in Verilog HDL for FPGAs</li>
<li>Write and execute test plans for device validation and performance characterization</li>
<li>Take ownership of the design, development, testing, and end-to-end technical support for projects</li>
<li>Assess design risks and develop mitigation strategies</li>
<li>Create documentation for hardware, software and systems</li>
<li>Interface with internal teams and external clients to conduct design reviews for hardware/electronic systems and code reviews for software/firmware/HDL</li></ul><br>
<p></p>
<p><b>
Minimum Requirements:</b></p>
<ul>
<li>Able to work 40 hours a week on-site in El Segundo, California, or Redmond, Washington</li>
<li>Eligible to work on ITAR projects</li>
<li>Bachelor's Degree (Electrical Engineering, Computer Science, Physics, Math, or related field) or equivalent experience</li>
<li>3+ years of applied experience with a demonstrated passion for engineering and technology development</li>
<li>Excellent written and verbal technical communication skills; ability to explain technical concepts and their implications to non-technical audiences</li>
<li>Experience in any common ECAD tool, such as Altium Designer, KiCad, Cadence, PADS, EAGLE, etc.</li>
<li>Experience with C/C++ firmware development or Verilog HDL development</li>
<li>Experience in modeling, simulation, and testing of electronics</li>
<li>Familiarity with standard digital communication methods including serial / UART, SPI, and I2C</li>
<li>Expertise with one or more of the following: analog circuits, mixed-signal designs, embedded programming, RF, power electronics, or optical systems development</li></ul><br>
<p></p>
<p><b>
Preferred Requirements:</b></p>
<ul>
<li>Experience in team-based design and build projects (e.g., Formula SAE, Solar Car, CubeSat, Rover Challenge, etc.)</li>
<li>End-to-end electronics design experience: taking designs from requirements generation through schematic, layout, fabrication, and hardware bringup</li>
<li>Experience with analog small-signal circuit design (filters, op-amp circuits, signal conditioning) and/or power electronics designs: regulators, load drivers, supply filters, protection circuitry</li>
<li>Knowledge of PCB fabrication and assembly process, design for manufacture and design for assembly (DFM / DFA), familiarity with IPC and/or JEDEC standards</li>
<li>Experience interfacing with PCB and assembly vendors to have designs fabricated</li>
<li>Large-format or high-density or high-layer-count PCB design experience, preferably for aerospace, automotive, medical, or other high-reliability applications</li>
<li>Expertise with Altium Designer or KiCad</li>
<li>Familiarity with Python and/or MATLAB for data parsing and signal analysis</li>
<li>Familiarity with LTSpice for circuit simulation</li>
<li>Experience with a range of ARM Cortex-M devices (e.g., STM32, NXP S32K, TI TMS570, etc.) and Lattice or Xilinx FPGAs</li>
<li>Excellent understanding of OS fundamentals (e.g., schedulers, memory management, network stacks, file system architectures, etc.) and computer architecture or digital design fundamentals</li>
<li>Experience with continuous integration and testing (CI/CD) or related high-reliability software development strategies</li></ul><br>
<p></p>
<p><b>
Compensation &amp; Benefits:</b></p>
<ul>
<li>Salary range dependent on leveling
<ul><li>Engineer I: $100,000 - $130,000</li>
<li>Engineer II: $125,000 - $170,000</li>
<li>Senior Engineer: $155,00 - $200,000</li>
</ul></li><li>Equity (via ISOs) in Second Order Effects, Inc.</li>
<li>Equity (via PIUs) in our incubated companies (through our holding company, Second Order Holdings, LLC)</li>
<li>100% employer-paid health insurance (Medical, Dental, Vision) for employees + 50% dependent coverage</li>
<li>Flexible paid time off policy + 11 paid holidays + 12 paid sick days</li>
<li>401(k) retirement account and employer matching (Safe Harbor 4%)</li>
<li>Up to 22 weeks of paid parental leave dedicated to new child bonding</li>
<li>Relocation assistance available if 50+ miles away from the office</li>
<li>Electric Vehicle (EV) charging ports at our LAX office</li>
<li>Daily catered lunches, snacks, and accessible kitchen</li></ul><br>
<p></p>
<p></p>
<p><b>ITAR Requirements: </b>To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Unfortunately, we are unable to provide sponsorship at this time.</p>
<p></p>
<p><b>Equal Opportunity: </b>Second Order Effects is proud to be an Equal Opportunity Employer; employment with SOE is governed on the basis of excellence and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.</p></div>

Electrical Engineer

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you passionate about building business insights that drive decision-making at the highest levels? Do you want to be part of a fast-paced, ambiguous environment and contribute to Amazon's Brand Protection charter?<br>
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As a Sr. Business Intelligence Engineer, from Day 1, you will be challenged with solving complex and ambiguous data problems - from designing scalable data models and metric frameworks, to building executive-ready dashboards, owning pipeline architecture and driving the technical strategy for the data team.<br>
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What are we looking for?<br>
<ul><li>You have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment.</li><li>You are passionate about finding root causes, trends, and patterns and how they impact business. You use data to support your ideas and drive actionable outcomes, and draw inferences and conclusions based on data.</li><li>You should be able to work on complex initiatives, deal with ambiguity, and work with senior leaders.</li><li>You have extensive experience working with extremely large data sets and are comfortable with various tools and technologies to consume, extract, and transform data.</li><li>You have business communication skills to be able to work with product and program owners to understand key business questions, and are able to build solutions (analysis / reports / dashboards) that enable them to answer those questions quickly and accurately.</li><li>You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives.</li></ul>
- You have experience mentoring engineers and raising the technical bar for a team - through code reviews, architectural guidance, and leading by example.<br>
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Key job responsibilities<br>
<ul><li>Be highly data driven, resourceful, and team oriented.</li><li>Translate analytic insights into actionable recommendations for business and clearly communicate strategic findings by translating complex technical concepts into business terms and vice versa.</li><li>Develop dashboards that provide insights into the health of the business, create analytics solutions to drive deep dives and uncover hidden risks/trends and recommend optimizations for future state.</li><li>Interact with internal program, product, engineering, data and science owners to gather requirements, structure scalable and performant data solutions and gain a deep understanding of key datasets.</li><li>Own the design, creation, and management of extremely large datasets and tune query performance against large and complex data sets.</li><li>Design, implement, and drive adoption of new analytic technologies and solutions and promote industry standard best practices.</li></ul>
- Serve as the technical lead for the Brand Protection data team - owning architectural decisions, mentoring engineers and analysts on best practices, query optimization, and data modeling.<br>
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About the team<br>
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The Brand Protection team is part of Amazon's WW Customer &amp; Partner Trust organization. Our vision is to use data provided by Brands in the Brand Registry to prevent Brands eligible for protections worldwide from ever seeing a listing on Amazon that has invalid data (e.g., misuse of trademarks, copyright) associated with their Brand. We strive to make Amazon the best way for Selling Partners to operate their businesses by protecting their intellectual property while reaching customers locally and globally.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>10+ years of professional or military experience</li><li>5+ years of SQL experience</li><li>Experience programming to extract, transform and clean large (multi-TB) data sets</li><li>Experience with theory and practice of design of experiments and statistical analysis of results</li><li>Experience with AWS technologies</li><li>Experience in scripting for automation (e.g. Python) and advanced SQL skills.</li><li>Experience with theory and practice of information retrieval, data science, machine learning and data mining</li><li>Knowledge of data warehousing and data modeling</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience managing, analyzing and communicating results to senior leadership</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</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 - 130,400.00 - 176,300.00 USD annually</div><p></p>

Business Intelligence Engineer III, Intellectual Property Protection

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