software engineer

data engineer

aws data engineer

data analyst

data analyst i

data platform engineer

Shannon & Wilson

<div>
 Job Type
 <br/>
 <br/>
 Full-time
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Shannon &amp; Wilson is a leading geotechnical engineering firm dedicated to delivering innovative solutions in infrastructure, transportation, and environmental projects. As part of our digital transformation journey, we are investing in modern data platforms and analytics capabilities to support better decision-making and operational excellence.
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our engineers, supporting staff, and leadership have reliable, trusted access to data for project delivery, reporting, and strategic insights.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Platform Operations &amp; Maintenance
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Administer and monitor Microsoft Fabric (or Azure Synapse/Lakehouse), Azure SQL Databases, and Power BI workspaces.
  </li>
  <li>
   Ensure data pipelines, notebooks, and scheduled refreshes run reliably and on time.
  </li>
  <li>
   Implement monitoring, alerting, and cost optimization strategies for the platform.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Engineering &amp; Integration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build, maintain, and optimize ingestion pipelines from internal systems (ERP, project management software) and external data sources.
  </li>
  <li>
   Design and maintain clean, curated data models to support reporting and analytics needs.
  </li>
  <li>
   Collaborate with business analysts to ensure data structures meet business requirements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Governance &amp; Security
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Apply data governance standards for naming conventions, schema design, and access control.
  </li>
  <li>
   Work with IT to enforce security policies, manage permissions, and ensure compliance with client and regulatory requirements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Continuous Improvement
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Stay current with Microsoft&rsquo;s data platform capabilities (Fabric, Power BI, Azure Data Factory, etc.).
  </li>
  <li>
   Recommend new features, automation, or process improvements to enhance reliability and usability.
  </li>
  <li>
   Partner with stakeholders to identify and implement new use cases for analytics and reporting.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related field (or equivalent experience).
  </li>
  <li>
   Must have 3+ years of experience with Microsoft data stack (Azure SQL Database, Azure Data Factory, Synapse, Power BI, or Fabric).
  </li>
  <li>
   Strong SQL development skills and experience with data modeling (star/snowflake schema) required.
  </li>
  <li>
   Hands-on experience with ETL/ELT pipelines and automation scheduling required.
  </li>
  <li>
   Familiarity with cloud-based data security and access control practices.
  </li>
  <li>
   Experience with Microsoft Fabric Lakehouse and Mirrored Databases preferred.
  </li>
  <li>
   Familiarity with engineering or construction industry data (projects, cost, schedule) preferred.
  </li>
  <li>
   Python or Spark experience for data transformation preferred.
  </li>
  <li>
   Knowledge of DevOps/Git-based version control for data pipelines preferred.
  </li>
  <li>
   Strong collaboration skills &ndash; able to work with project managers, analysts, and IT staff.
  </li>
  <li>
   Excellent troubleshooting and problem-solving skills.
  </li>
  <li>
   Continuous improvement mindset with willingness to learn and adopt new technologies.
  </li>
  <li>
   Clear communication skills (both technical and business-oriented).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Level Placement
  <br/>
  <br/>
 </strong>
 Typically, depending on an applicant&rsquo;s education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, an Entry-Level Data Engineer typically would be placed at a Shannon &amp; Wilson Professional I, II, III, or IV level with annual compensation ranging from $90,000 - $120,000.
 <br/>
 <br/>
 Shannon &amp; Wilson is committed to providing a comprehensive total rewards package that includes the following benefits:
 <br/>
 <br/>
 <ul>
  <li>
   Employee stock ownership
  </li>
  <li>
   Medical, prescription, vision, dental, long-term care and life insurance plans are offered to employees (and their families).
  </li>
  <li>
   Pre-tax health and daycare FSA
  </li>
  <li>
   Profit sharing and 401(k) plans with annual safe-harbor contributions
  </li>
  <li>
   10 - 20 paid vacation days per year for full-time employees, based on years of experience (prorated for part-time employment)
  </li>
  <li>
   Sick leave accrues based on state requirements
  </li>
  <li>
   9 paid holidays per year + 1 personal holiday
  </li>
  <li>
   Paid volunteer day
  </li>
  <li>
   Paid time off for bereavement and jury duty
  </li>
  <li>
   Two weeks of paid parental leave
  </li>
  <li>
   Lunch &amp; Live wellness webinars and an Employee Assistance Program
  </li>
  <li>
   Mentorship Program
  </li>
  <li>
   Tuition Reimbursement
  </li>
  <li>
   Free parking
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Shannon &amp; Wilson is an Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 <strong>
  Shannon &amp; Wilson participates in the E-Verify program.
  <br/>
  <br/>
 </strong>
 <strong>
  Please note that non-solicited resumes from external recruitment agencies will not be considered as introductions to our business, unless a preapproved agreement is in place and the external recruitment agency has been engaged to work on this specific vacancy.
  <br/>
  <br/>
 </strong>
 Salary Description
 <br/>
 <br/>
 $90,000 - $120,000 per year
</div>


Data Engineer

Shannon & Wilson Inc.

<div>Description:
<p>
Shannon &amp; Wilson is a leading geotechnical engineering firm dedicated to delivering innovative solutions in infrastructure, transportation, and environmental projects. As part of our digital transformation journey, we are investing in modern data platforms and analytics capabilities to support better decision-making and operational excellence.</p><p><b>
Job Summary:</b></p><p>
We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our engineers, supporting staff, and leadership have reliable, trusted access to data for project delivery, reporting, and strategic insights.</p><p><b>
Responsibilities:</b></p><p><b>
 Platform Operations &amp; Maintenance</b></p><ul><li>Administer and monitor Microsoft Fabric (or Azure Synapse/Lakehouse), Azure SQL Databases, and Power BI workspaces.</li><li>Ensure data pipelines, notebooks, and scheduled refreshes run reliably and on time.</li><li>Implement monitoring, alerting, and cost optimization strategies for the platform.</li></ul><p><b>
 Data Engineering &amp; Integration</b></p><ul><li>Build, maintain, and optimize ingestion pipelines from internal systems (ERP, project management software) and external data sources.</li><li>Design and maintain clean, curated data models to support reporting and analytics needs.</li><li>Collaborate with business analysts to ensure data structures meet business requirements.</li></ul><p><b>
 Governance &amp; Security</b></p><ul><li>Apply data governance standards for naming conventions, schema design, and access control.</li><li>Work with IT to enforce security policies, manage permissions, and ensure compliance with client and regulatory requirements.</li></ul><p><b>
 Continuous Improvement</b></p><ul><li>Stay current with Microsoft&rsquo;s data platform capabilities (Fabric, Power BI, Azure Data Factory, etc.).</li><li>Recommend new features, automation, or process improvements to enhance reliability and usability.</li><li>Partner with stakeholders to identify and implement new use cases for analytics and reporting.</li></ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related field (or equivalent experience).</li><li>
Must have 3+ years of experience with Microsoft data stack (Azure SQL Database, Azure Data Factory, Synapse, Power BI, or Fabric).</li><li>
Strong SQL development skills and experience with data modeling (star/snowflake schema) required.</li><li>
Hands-on experience with ETL/ELT pipelines and automation scheduling required.</li><li>
Familiarity with cloud-based data security and access control practices.</li><li>
Experience with Microsoft Fabric Lakehouse and Mirrored Databases preferred.</li><li>
Familiarity with engineering or construction industry data (projects, cost, schedule) preferred.</li><li>
Python or Spark experience for data transformation preferred.</li><li>
Knowledge of DevOps/Git-based version control for data pipelines preferred.</li><li>
Strong collaboration skills &ndash; able to work with project managers, analysts, and IT staff.</li><li>
Excellent troubleshooting and problem-solving skills.</li><li>
Continuous improvement mindset with willingness to learn and adopt new technologies.</li><li>
Clear communication skills (both technical and business-oriented).</li></ul><p><b>
Level Placement:</b></p><p>
Typically, depending on an applicant&rsquo;s education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, an Entry-Level Data Engineer typically would be placed at a Shannon &amp; Wilson Professional I, II, III, or IV level with annual compensation ranging from $90,000 - $120,000.</p><p>
Shannon &amp; Wilson is committed to providing a comprehensive total rewards package that includes the following benefits:
</p><ul><li>Employee stock ownership
</li><li>Medical, prescription, vision, dental, long-term care and life insurance plans are offered to employees (and their families).
</li><li>Pre-tax health and daycare FSA
</li><li>Profit sharing and 401(k) plans with annual safe-harbor contributions
</li><li>10 - 20 paid vacation days per year for full-time employees, based on years of experience (prorated for part-time employment)</li><li>
Sick leave accrues based on state requirements</li><li>
9 paid holidays per year + 1 personal holiday
</li><li>Paid volunteer day
</li><li>Paid time off for bereavement and jury duty
</li><li>Two weeks of paid parental leave
</li><li>Lunch &amp; Live wellness webinars and an Employee Assistance Program</li><li>
Mentorship Program</li><li>
Tuition Reimbursement</li><li>
Free parking
</li></ul><p><b>Shannon &amp; Wilson is an Equal Opportunity Employer</b></p><p><b>
Shannon &amp; Wilson participates in the E-Verify program.</b></p><p><b>
Please note that non-solicited resumes from external recruitment agencies will not be considered as introductions to our business, unless a preapproved agreement is in place and the external recruitment agency has been engaged to work on this specific vacancy.</b></p></div>

nSCALE

<p></p><div><div><div><div><div><p><b>About Nscale</b></p></div></div><div><br>
<div>
<p>Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.</p><br>
<p></p>
<p>
We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future.</p></div></div><br>
</div>
</div><p></p><div><div><div><div><p><b>About the Role (Job Purpose)</b></p></div></div><div><br>
<div>
<p>We're looking for a <b>Data Engineer</b> to help design, build, and operate the data foundations that underpin Nscale's platform, internal operations, and customer-facing capabilities.</p>
<p>
This is a <b>high-impact, early-stage role</b>. You'll work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw operational signals &mdash; from GPUs, clusters, customers, and internal systems &mdash; into reliable, scalable data products that ensure delivery at a previously unseen pace. You'll help define <i>how data is collected, modelled, served, and trusted</i> across the company, and have the opportunity to build on Palantir Foundry, as well as other products.</p>
<p>
This role is ideal for someone who enjoys building data systems from first principles, thrives in ambiguous environments, and wants to see their work directly influence product decisions, platform reliability, and customer outcomes.</p></div></div><br>
</div>
</div><p></p><div><div><div><div><p><b>What You'll be Doing (Responsibilities)</b></p></div></div><br>
<div>
<div><h4 class="jobSectionHeader"><b>Data Platform &amp; Architecture</b></h4>
<div><ul><li>Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems.</li></ul></div><div><ul><li><br>
Define data models and schemas that support operational workflows and use cases across the business, monitoring, and analytics.</li></ul></div><div><ul><li><br>
Clean, transform and structure the data to create a digital twin of Nscale.</li></ul></div><div><ul><li><br>
Implement permissioning and manage access and security of the Foundry implementation.</li></ul></div><h4 class="jobSectionHeader"><b><br>
Data Products &amp; Enablement</b></h4>
<div><ul><li>Create trusted datasets and metrics that power workflows and processes, internal tools, and customer-facing insights.</li></ul></div><div><ul><li><br>
Enable self-serve analytics by establishing clear data contracts, documentation, and semantic layers.</li></ul></div><div><ul><li><br>
Build use cases including but not limited to capacity planning, cost optimisation, reliability analysis, and customer reporting to drive our business forward.</li></ul></div><div><ul><li><br>
Collaborate with Product and Commercial teams to translate real-world questions into robust data solutions.</li></ul></div><h4 class="jobSectionHeader"><b><br>
Reliability, Quality &amp; Governance</b></h4>
<div><ul><li>Implement data quality checks, monitoring, and alerting to ensure data correctness and availability.</li></ul></div><div><ul><li><br>
Codify data lineage, freshness, and consistency across systems.</li></ul></div><div><ul><li><br>
Establish best practices around data versioning, access control, and governance appropriate for a fast-scaling company.</li></ul></div><div><ul><li><br>
Continuously improve system resilience and observability.</li></ul></div><h4 class="jobSectionHeader"><b><br>
Early-Stage Ownership &amp; Growth</b></h4>
<div><ul><li>Take end-to-end ownership of projects, from design through to production and iteration.</li></ul></div><div><ul><li><br>
Help define standards, tooling, and ways of working for data at Nscale.</li></ul></div><div><ul><li><br>
Contribute to technical decision-making as the company scales its platform and customer base.</li></ul></div><ul><li><br>
Act as a thought partner to engineers and operators, not just a service function.</li></ul></div></div><br>
</div>
</div><p></p><div><div><div><div><p><b>About You (Skills / Qualifications)</b></p></div></div></div><br>
<div>
<div><div><ul><li>Deep, hands-on experience building in <b>Palantir Foundry</b>, including ontology modelling, pipeline development, API integration, and large-scale data platform design.</li></ul>
<ul><li>Strong proficiency in <b>Python</b>, with experience applying data engineering libraries and frameworks (e.g. Spark, PySpark, Dask, pandas) to work with large, complex datasets.</li></ul>
<ul><li>Familiarity with <b>API-driven data integration</b>, including REST, GraphQL, and Foundry Action APIs.</li></ul>
<ul><li>Practical experience working in <b>Git-based development workflows</b>, including code reviews, version control, and CI/CD pipelines.</li></ul>
<ul><li>Comfort working in ambiguous, early-stage environments where requirements evolve quickly.</li></ul>
<ul><li>Strong communication skills &mdash; able to explain data concepts clearly to technical and non-technical stakeholders.</li></ul>
<ul><li>A bias toward ownership, pragmatism, and shipping useful solutions.</li></ul>
<p><b>
Nice to Have</b></p>
<ul><li>Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry.</li></ul>
<ul><li>Familiarity with distributed systems, monitoring data, or usage-based billing data.</li></ul>
<ul><li>Experience supporting customer-facing data products or platforms.</li></ul></div></div><br>
</div>
</div><p></p><div><div><div><div><p><b>What We Can Offer You</b></p></div></div></div><br>
<div>
<div><div><p>At Nscale, you'll find a <b>collaborative, supportive, and innovative environment</b> where your contributions spark real impact. We're building something extraordinary, and we want you at the core.</p>
<ul><li>Highly <b>competitive package</b> (base + equity) with <b>reviews every 12 months</b>.</li></ul>
<ul><li>Join the <b>fastest-growing tech startup</b>, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨</li></ul>
<ul><li>Expect a <b>dynamic progression plan</b> tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.</li></ul>
<ul><li><b>Human-First Flexibility:</b> We treat you as <b>humans first</b>. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.</li></ul>
<ul><li>Join our <b>thriving remote-first team</b>. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.</li></ul></div></div><br>
</div>
</div><p></p><div><div><div><div><p><b>Interview Process</b></p></div></div><p></p><div><div><br>
<ul><li>Phone screen</li></ul>
<ul><li>Coding interviews</li></ul>
<ul><li>Hiring Manager interview</li></ul></div></div></div></div><br>
<p>
</p><p></p><div><div><div><div><p><b>Equal Opportunities Statement</b></p></div></div><div><br>
<div>
<p>We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.</p>
<p>
If there's anything we can do to accommodate your specific situation, please let us know.</p>
<p>
The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.</p></div></div></div></div><br>
<p>
</p><p></p><div><p><i>For information on how Nscale handles candidate personal data, please see our Employee &amp; Candidate Privacy Notice: </i><i>Here.</i></p></div></div>

Data Engineer - Seattle, WA

Nordstrom

<div><div>1600 7th Avenue, Seattle, Washington 98101
</div><div><div><p>In the Data &amp; Analytics Services organization, our teams build and maintain the data infrastructure that powers customer analytics, merchandising insights, and marketing measurement across Nordstrom. We help ensure customers receive a seamless, personalized experience across every channel by building the unified data assets that drive business decisions at every level of the company.</p><p>
Delivering great customer experiences &mdash; from relevant recommendations to accurate loyalty rewards to effective marketing &mdash; depends on a consistent view of our customers across channels. Our Customer Identity team maintains the platform that makes this possible, and this role will serve as its technical lead.</p><p></p><p>
As the Lead Data Engineer on the Customer Identity team, you will own the technical direction: hands-on with customer recognition systems and data quality analysis while also setting roadmap and strategy for the team. You&rsquo;ll guide 4 engineers, with plans to grow the team as scope expands. You&rsquo;ll own the full lifecycle of identity platform quality &mdash; from improving match accuracy to designing quality KPIs to modernizing our data platform architecture.</p><p></p><p><b>
A day in the life...
</b></p><ul><li>Own the strategy to improve customer recognition accuracy by working with upstream data partners, evaluating data enrichment approaches and piloting new techniques that help deliver more consistent and personalized experiences</li><li>
Collaborate with customer analytics leadership and business stakeholders to ensure the identity platform supports key use cases, from marketing measurement to customer lifetime value modeling to personalization</li><li>
Design and implement platform quality KPIs, match confidence scoring, precision/recall metrics, and reconciliation measures across identity methods to ensure accuracy and reliability</li><li>
Lead the migration of identity infrastructure from complex orchestration layers to a warehouse-native architecture (BigQuery + dbt), reducing operational overhead so the team can focus on analytical improvement</li><li>
Mentor and develop engineers on the customer analytics, setting technical standards, running design reviews, and providing direct feedback</li><li>
Maintain a high bar for data quality, testing, and monitoring, building automated checks that catch data quality regressions before they impact downstream reporting</li></ul><p></p><p><b>
You own this if you have...</b></p><ul><li>
7+ years of experience in data engineering, applied data science, or machine learning, with hands-on work in entity resolution, record linkage, or customer identity systems at scale</li><li>
Deep understanding of data matching concepts: match rules, blocking strategies, confidence thresholds, and precision/recall tradeoffs in customer data systems</li><li>
Production-quality SQL skills and fluency in BigQuery or a comparable cloud data warehouse, with hands-on experience in dbt, airflow or equivalent transformation frameworks</li><li>
Ability to frame ambiguous data quality problems as measurable experiments and communicate statistical concepts to business stakeholders</li></ul><p></p><p>
#LI-Hybrid</p><p></p><p><b>
We&rsquo;ve got you covered&hellip;</b></p><p></p><p>
Our employees are our most important asset and that&rsquo;s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:</p><ul><li><p>
Medical/Vision, Dental, Retirement and Paid Time Away</p></li><li><p>
Life Insurance and Disability</p></li><li><p>
Merchandise Discount and EAP Resources</p></li></ul><p></p><p>
A few more important points...</p><p></p><p>
The job posting highlights the most critical responsibilities and requirements of the job. It&rsquo;s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.</p><p></p><p>
For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site.
</p><p></p><p>Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com.</p><p></p><p>
Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ&rsquo;s for relevant information and guidelines.</p><p></p><p>
&copy; 2022 Nordstrom, Inc</p><p></p><p>
Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.</p><p></p><p>
Nordstrom keeps job postings open for at least one day after the posting date.</p><p></p><p><b>
Pay Range Details</b></p><p></p><p>
The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.<br>
Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.</p>
$166,000.00 - $258,000.00 Annual<p></p>
This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf</div><br>
<p></p>
</div>
<h3 class="jobSectionHeader"><b>Job Details</b></h3>
<div>
<div><p>Job category</p>
</div><div></div><div><p>Date posted</p>
<div>04/16/2026</div>
</div><div><p>End posting date</p>
</div><div></div><div><p>Position type</p>
</div><div></div><div><p>Job ID</p>
<div>R-829906</div>
</div><div><p>Salary range</p>
<div>$166,000.00 - $258,000.00</div></div></div></div>

Lead Data Engineer, Customer Identity Analytics (Hybrid - Seattle, WA)

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Prime Video is disrupting the traditional television and movie industry with a massive library of high-quality media and reliable digital delivery. Our services are engineered for high availability, maximum reach, and cost savings we can pass on to customers. We enable the world to watch video instantly, from any device, whether on the road or from the comfort of a living room sofa.
<br>
<br>
Prime Video's Catalog &amp; Data Platform (CDP) is the authoritative source of truth for every title available to hundreds of millions of customers across 249 territories &mdash; across Subscription and TransActional VOD, Channels, Linear, Live Sports and beyond. We drive the full content supply chain: from content and rights ingestion and processing, through product and offer distribution to every PV surface (Browse, Search, Fire TV, Web, Mobile, 3P Living Room devices, Google, Apple and other affiliates).<br>
We are hiring an DE-II to help build the next generation of our Distribution platform. You will design and deliver systems that process billions of content requests and catalog queries daily, and ensure every customer in every territory sees the right content with the right offer at the right time. Your work directly impacts whether a customer in Mumbai can watch the latest season of a show, whether a partner in Tokyo can launch content across territories simultaneously, and whether Prime Video's storefront renders the correct experience for 100s of millions of active streamers worldwide.<br>
<br>
The systems you will design and build are high performance distributed systems capable of enabling the growth of Prime Video global business. Innovation is key on this team and we are looking for technically savvy individuals with the ability to think big &amp; deliver simple solutions to complex problems.<br>
<br>
At Amazon, every employee has the opportunity to positively impact millions of customers, and you will be called on to identify and realize these opportunities. Our team works end-to-end through the Video platform, and our team members have direct ownership of the customer experience.</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, Content And Data Platform

Apple

<p>As a Data Engineer on the Capacity Engineering team, you will help design, build, and operate the data foundation that drives capacity, cost, and power-related decisions across Apple&rsquo;s infrastructure footprint.<br>
<br>
In this role, you will:<br>
<br>
Architect, implement, and maintain large-scale batch and streaming pipelines that ingest, process, and model infrastructure telemetry, cost, metering, utilization, forecasting, and power metrics from multiple clouds and bare metal environments.<br>
<br>
Design and evolve robust data models (with a strong focus on dimensional modeling) and storage patterns that support analytics, internal billing, and efficiency use-cases.<br>
<br>
Treat data as a product: define quality checks, SLAs, and observability to ensure data is accurate, timely, and trusted by stakeholders across Apple.<br>
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Integrate and enrich raw signals with metadata and attribution to power use cases such as internal billing/showback, usage understanding, efficiency and optimization, clawbacks, planning, and procurement.<br>
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Collaborate closely with data scientists, software engineers, platform teams, finance partners, program managers, and leadership to translate requirements into scalable, reliable data solutions and services.<br>
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Implement standard methodologies for data governance, lineage, metadata management, and security, in alignment with Apple&rsquo;s standards for data protection and privacy.<br>
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Build end-to-end data solutions that include logging, anomaly detection, data validation, cleaning, and transformation, with strong emphasis on monitoring, debuggability, and continuous improvement.<br>
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Contribute to the evolution of our data and platform stack, including tooling, frameworks, and standards for development, testing, deployment, and operations (CI/CD, infrastructure as code, etc.).<br>
<br>
<b>Description</b><br>
<br>
Apple&rsquo;s Capacity data engineering team, within the Apple Services Engineering organization, is building the centralized data backbone that powers how Apple understands, plans, and optimizes its cloud and data center infrastructure.<br>
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We engineer a unified, trusted data lake that consolidates cost, metering, utilization, forecasting, and power metrics produced by Apple platforms and systems (including bare metal) across both third-party and Apple internal clouds. Enriched with metadata and attribution, this becomes the single source of truth for internal billing, understanding usage and utilization, clawbacks, planning, procurement, and efficiency initiatives.<br>
<br>
We collaborate with platform engineering, finance, capacity engineering, and leadership teams to build large-scale data pipelines, enable descriptive and predictive analytics, and power dashboards and products that support critical business decisions. This is your opportunity to help design and operate highly visible, global-scale systems processing petabytes of data and supporting hundreds of users across Apple.<br>
<br>
Come join us to help deliver the next generation of infrastructure insights at Apple.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Advanced degree in a related field a plus.<br>
<br>
Experience with data visualization / BI tools, such as Superset or Tableau (other tools like QuickSight, QlikView, Cognos, or Business Objects are a plus)<br>
<br>
Experience with containerization and orchestration, such as Docker and Kubernetes/EKS is a plus<br>
<br>
Understanding of authentication and authorization (AuthN/AuthZ) patterns<br>
<br>
Knowledge of data governance principles, data security best practices, and data privacy regulations<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelors degree or equivalent experience in Computer Science, Information systems, Software Engineering, Data Science or related field.<br>
<br>
5+ years of experience in data engineering (or equivalent practical experience), including:<br>
<br>
Building and maintaining large-scale ETL/ELT data pipelines<br>
<br>
Distributed computing (e.g., Spark / PySpark) for data processing and automation<br>
<br>
Query performance optimization and tuning at scale<br>
<br>
Hands-on experience with:<br>
<br>
Apache Spark and Airflow (or similar workflow/orchestration tools) for efficient large-scale data pipelines<br>
<br>
Data modeling, especially dimensional modeling, and designing schemas optimized for analytics and reporting<br>
<br>
Big data platforms and/or data lake architectures<br>
<br>
Experience with CI/CD tooling such as Jenkins (or similar tools)<br>
<br>
Experience with cloud technologies, AWS/GCP (e.g., S3, EMR, Lambda, Glue, RDS/Redshift, Big-query, Kinesis or similar services)<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior Data Engineer

Nautilus Bio

<div><div><p>Location</p><div>
Seattle</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Hybrid</div></div><div><p>
Department</p><div>
Software &amp; Bioinformatics</div></div><div><p>
Compensation</p><ul><div><p>
$164K &ndash; $221K &bull; Offers Equity</p></div></ul><div><div>
The hiring pay range for this position is based on skills, education, and experience relevant to the role. New hires are typically hired into the low to midpoint of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.</div><div></div><div>
Benefits include medical, vision, and dental insurance, group and supplemental life insurance, 401k retirement plan, responsible paid time off, parental leave, and more. Other components of total compensation include a competitive options grant at the time of hire (with potential for additional grants).</div></div></div></div>
<br><div><div><div>At Nautilus, we have a big and important mission: improve the health of millions by unleashing the potential of the proteome to accelerate drug development and enable a new world of precision and personalized medicine. We are developing a single-molecule protein analysis platform of unprecedented sensitivity, scale, and ease of use that we believe will democratize access to the proteome - one of the most dynamic and valuable sources of biological insight. To accomplish this, we are pursuing hard scientific problems with an entrepreneurial mindset and creating a world-class team of builders, innovators, and dreamers across a wide range of disciplines.</div><p>
We are hiring a <b>Senior Software Engineer II</b> to join our Cloud Data Pipeline team. This team is responsible for the data infrastructure that transforms raw protein measurement data into the scientific outputs that our customers and internal researchers depend on. You'll own ETL pipelines, cloud infrastructure, and the APIs and databases that connect our data platform to the rest of the company. As Nautilus moves into commercial deployment, this role sits at the intersection of data engineering rigor and the practical demands of a production scientific platform. Your work will directly shape what our customers can learn from their experiments and how reliably they can trust the results.</p><p>
This position will report to the Manager, Data Engineering and Cloud Pipelines and is located in Seattle, WA. The position is hybrid and requires a minimum of three days onsite.</p><p><b>
Responsibilities</b></p><ul><li><div>
Design and implement data pipelines and ETLs that process protein measurement data at scale, turning instrument outputs into reliable, query-able scientific results.</div></li></ul><ul><li><p>
Improve the architecture of existing cloud systems: identify structural weaknesses, propose better approaches, and drive implementation alongside the technical lead.</p></li></ul><ul><li><p>
Maintain and evolve the APIs and database schemas that serve internal teams including bioinformatics, science, and product development, adapting as their needs grow.</p></li></ul><ul><li><p>
Contribute to the team's DevOps practice: optimize AWS costs, manage cloud deployments, improve system security, and drive performance improvements through infrastructure changes.</p></li></ul><ul><li><p>
Work cross-functionally with scientific and software teams to define data quality metrics, understand how downstream consumers use pipeline outputs, and ensure the platform meets their needs.</p></li></ul><ul><li><p>
Surface and advocate for changes to project priorities and architecture across the cloud pipeline and adjacent projects.</p></li></ul><p><b>
Requirements</b></p><ul><li><div>
7+ years of relevant experience in a software engineering organization, with a strong track record of delivering production-quality systems.</div></li></ul><ul><li><p>
Bachelor's degree in Computer Science or a related field, or equivalent practical experience.</p></li></ul><ul><li><p>
Fluency in a variety of programming languages. We are currently invested in Python for our data pipelines.</p></li></ul><ul><li><p>
Solid experience with cloud infrastructure on AWS including cost management and deployment practices.</p></li></ul><ul><li><p>
Experience with CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CDK).</p></li></ul><ul><li><p>
Experience with relational and non-relational database design</p></li></ul><ul><li><p>
Demonstrated experience building and maintaining data pipelines or ETL systems at production scale.</p></li></ul><ul><li><p>
Skilled in multiple technology domains with the ability to independently pick up new ones as needed.</p></li></ul><ul><li><p>
Strong communication skills and comfort working across engineering, science, and product stakeholders.</p></li></ul><ul><li><p>
Ability to identify when a change in direction is necessary and deal competently with that shift.</p></li></ul><ul><li><p>
Familiar with AI-driven development tools and methodologies.</p></li></ul><p><b>
Nice to Haves</b></p><ul><li><div>
Experience with Docker and container orchestration tools (Kubernetes, ECS).</div></li></ul><ul><li><p>
Experience with workflow orchestration tools (e.g., Nextflow, Step Functions, Airflow, Prefect).</p></li></ul><ul><li><p>
Experience with data observability, pipeline monitoring, or data quality frameworks.</p></li></ul><ul><li><p>
Background in biotech, life sciences, or scientific data processing.</p></li></ul><ul><li><p>
Familiarity with NoSQL data stores and when to use them alongside relational databases.</p></li></ul></div></div><p></p>

Senior Software Engineer II, Cloud Data Pipeline Seattle

Explore 317+ Data platform engineer in Seattle this May. Find roles across top companies and apply now to boost your career.

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