aiml - applied ml engineer, data generation & verification

aiml - sr backend engineer, data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

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

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

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

analytics data engineer

data analytics engineer

Nscale

<div>
 
 About Nscale
 
 
 
 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.
 
 
 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.
 
 
 
 About The Role
 
 
 
 We're hiring a
 
 
 Data Analytics Engineer
 
 
 to surface the connections between GPU procurement, capacity planning, cost and margin, and financing decisions across the business.
 
 
 This role sits across
 
 
 Supply Chain, Finance, and Capacity
 
 
 , helping build the analytical threads that link decisions made in each function. Before dedicated specialists are in place across these domains, you'll extend the team's reach by creating integrated analysis, partnering with the
 
 
 Senior Analytics Engineer
 
 
 , and helping leadership see the full picture rather than a siloed view.
 
 
 Your work will help turn non-obvious business linkages into clearer, better-informed decisions. This is an opportunity to shape how Nscale thinks across critical parts of the business and to highlight where deeper analytical specialization will have the greatest impact.
 
 
 What you'll be doing
 
 
 
 
 Cross-Functional Analysis
 
 
 
 
 <ul>
 <li>
 Float across Supply Chain, Finance, and Capacity to build the analytical products each function needs.
 </li>
 <li>
 Identify non-obvious connections between procurement, capacity, cost structures, margin, and vendor strategy.
 </li>
 <li>
 Surface cross-domain insights to leadership with clear data and structured analysis behind them.
 </li>
 <li>
 Translate decisions made in one part of the business into implications for adjacent functions.
 
 
 </li>
 </ul>
 
 
 Leadership Briefings and Decision Support
 
 
 
 
 <ul>
 <li>
 Write integrated analytical memos and briefings that bring cross-functional context to key decisions.
 </li>
 <li>
 Frame complex business questions in a way that helps leadership evaluate trade-offs across domains.
 </li>
 <li>
 Tailor written outputs for different audiences, including stakeholders in Supply Chain and Finance.
 </li>
 <li>
 Present a more complete business picture when decisions might otherwise be made with a narrow lens.
 
 
 </li>
 </ul>
 
 
 Data and Analytics Development
 
 
 
 
 <ul>
 <li>
 Partner with the Senior Analytics Engineer to access the data needed from the Foundry analytics layer.
 </li>
 <li>
 Build datasets and reports in Foundry or equivalent platforms to support business analysis.
 </li>
 <li>
 Flag data coverage gaps across Supply Chain, Finance, and Capacity as they emerge.
 </li>
 <li>
 Create useful analytical output even when problem statements or requirements are not fully defined.
 
 
 </li>
 </ul>
 
 
 Team Evolution and Coverage Planning
 
 
 
 
 <ul>
 <li>
 Help scope the specialist roles that will eventually replace generalist coverage across these domains.
 </li>
 <li>
 Use your cross-functional work to reveal where dedicated analytical capacity is most needed.
 </li>
 <li>
 Extend team coverage during a period before domain-specific analytical roles are fully established.
 
 
 </li>
 </ul>
 KPIs
 
 
 <ul>
 <li>
 Integrated leadership memos and briefings delivered
 </li>
 <li>
 Cross-domain business insights surfaced
 </li>
 <li>
 Data coverage gaps identified across Supply Chain, Finance, and Capacity
 </li>
 <li>
 Specialist role needs scoped based on cross-functional analysis
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 1&ndash;2 years of analytics experience, with direct work across at least two business domains
 </li>
 <li>
 Experience spanning combinations such as supply chain and finance, operations and commercial, or procurement and capacity planning
 </li>
 <li>
 Strong interest in understanding how different parts of the business connect, rather than going deep in only one area
 </li>
 <li>
 Excellent written communication skills, including clear prose, structured arguments, and clean visuals
 </li>
 <li>
 Ability to write effective analytical memos for different functional audiences, including Supply Chain and Finance
 </li>
 <li>
 Comfort operating in ambiguity and orienting quickly in a new business domain
 </li>
 <li>
 Skill in identifying the right analytical question without needing a highly detailed brief
 </li>
 <li>
 Enough technical range to build datasets and reports in Foundry or equivalent platforms
 </li>
 <li>
 Foundry experience is a bonus
 </li>
 <li>
 Background in AI infrastructure, GPU supply chain, hardware procurement, or high-growth operations is a strong advantage
 
 
 </li>
 </ul>
 What we can offer you
 
 
 At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core.
 
 
 Highly competitive US compensation package (base + bonus + equity), with performance reviews every 12 months. 🚀
 
 
 Join one of the fastest-growing AI infrastructure companies &mdash; your chance to directly shape how global AI capacity is planned and deployed. ✨
 
 
 Expect a dynamic progression plan tailored to your ambitions. Grow by leading critical cross-functional initiatives and shaping capital strategy &mdash; always with our full support.
 
 
 Human-First Flexibility: We treat you as humans first. 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.
 
 
 Equal Opportunities Statement
 
 
 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.
 
 
 If there's anything we can do to accommodate your specific situation, please let us know.
 
 
 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.
 
 
 For information on how Nscale handles candidate personal data, please see our Employee &amp; Candidate Privacy Notice: Here.
 
 
 Salary Range
 
 
 The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.
 
 
 The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.
 
 
 Salary Range
 
 
 $80,000&mdash;$110,000 USD
 
 
 
 For information on how Nscale handles candidate personal data, please see our Employee &amp; Candidate Privacy Notice: Here.
 
</div>

Data Analytics Engineer

Amazon

<div>
 
 Description
 
 
 
 WW Pricing drives the success of Amazon Retail and 3P Pricing. We build software that makes billions of monthly pricing recommendations on our marketplaces. We earn our customers' trust by consistently delivering the lowest prices possible: we price and publish prices automatically for the millions of products bought worldwide every day by our customers.
 
 
 You will be joining WW Pricing Data &amp; Analytics team which consists of several Data Engineers and Business Intelligence Engineers.
 
 
 As a Data Engineer, you will create data models and ML data infrastructure that power our pricing algorithms and shape both customer and seller experiences. You'll develop essential data flows that keep our systems running smoothly while uncovering valuable insights that drive customer and seller success. You'll be developing GenAI based solutions to improve the operational and reporting efficiency.
 
 
 This job is for you if you are passionate about working with the largest and most complex data to optimize service performance. You will own the models and processes for collecting and transforming data, and work within the Pricing software engineering teams to drive the resulting business initiatives. You will learn the customer's intentions, and support us in understanding them as we take our business to the next level.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Architecture design and implementation of next generation data pipelines and BI solutions
 </li>
 <li>
 Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
 </li>
 <li>
 Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
 </li>
 <li>
 Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
 </li>
 <li>
 Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of data engineering experience
 </li>
 <li>
 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
 </li>
 <li>
 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
 </li>
 <li>
 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
 </li>
 <li>
 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
 </li>
 <li>
 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
 </li>
 <li>
 Experience with data modeling, warehousing and building ETL pipelines
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <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>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 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.
 
 
 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.
 
 
 USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A10433467
</div>

Data Engineer, WW Pricing - Data & Analytics

Anthropic

<div>
 
 About Anthropic
 
 
 
 Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
 
 
 
 About The Role
 
 
 
 As an Analytics Engineer, you will be an early member of the Data Science &amp; Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company&rsquo;s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
 </li>
 <li>
 Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
 </li>
 <li>
 Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
 </li>
 <li>
 Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
 </li>
 <li>
 Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
 </li>
 <li>
 Influence the future roadmap of Product and GTM teams from a data systems perspective
 </li>
 <li>
 Become an expert in our organization&rsquo;s data models and the company's data architecture
 
 
 </li>
 </ul>
 
 You Might Be a Good Fit If You Have
 
 
 
 <ul>
 <li>
 5+ years of experience as an Analytics Data Engineer or similar Data Science &amp; Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
 </li>
 <li>
 A passion for the company's mission of building helpful, honest, and harmless AI.
 </li>
 <li>
 Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
 </li>
 <li>
 Expertise in SQL and Python to transform data into accurate, clean data models.
 </li>
 <li>
 Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
 </li>
 <li>
 A bias for action and urgency, not letting perfect be the enemy of the effective.
 </li>
 <li>
 A &ldquo;full-stack mindset&rdquo;, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
 </li>
 <li>
 Experience building an Analytics Data Engineering (or similar) function at start-ups.
 </li>
 <li>
 A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
 
 
 </li>
 </ul>
 The annual compensation range for this role is listed below.
 
 
 For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
 
 
 
 Annual Salary
 
 
 
 $275,000&mdash;$370,000 USD
 
 
 
 Logistics
 
 
 
 
 Minimum education:
 
 Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience
 
 
 
 Required field of study:
 
 A field relevant to the role as demonstrated through coursework, training, or professional experience
 
 
 
 Minimum years of experience:
 
 Years of experience required will correlate with the internal job level requirements for the position
 
 
 
 Location-based hybrid policy:
 
 Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
 
 
 
 Visa sponsorship:
 
 We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
 
 
 
 We encourage you to apply even if you do not believe you meet every single qualification.
 
 Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
 
 
 
 Your safety matters to us.
 
 To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
 
 
 
 How We're Different
 
 
 
 We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
 
 
 The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
 
 
 
 Come work with us!
 
 
 
 Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
 
 Guidance on Candidates' AI Usage:
 
 Learn about our policy for using AI in our application process.
</div>

Analytics Data Engineer

GEICO

<div>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
Position Summary
GEICO is seeking an experienced Senior Data Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission. Within the Data Analytics and Vertical Engineering team, you will play a key role in leveraging modern technologies to enhance our data capabilities, while championing innovation, best practices, and continuous learning.
Position Description
As a Senior Data Engineer, you will work to build and maintain robust data systems that power a state-of-the-art analytics platform. Our team thrives and succeeds in delivering high-quality data solutions in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from data pipeline development and data transformation to data storage and processing optimization.
Position Responsibilities
As a Senior Engineer, you will:<ul><li>
Scope, design, and build scalable, resilient distributed systems</li></ul><ul><li>
Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services</li><li>
Use your technical expertise to shape product definitions and drive towards optimal solutions</li><li>
Engage in cross-functional collaboration throughout the entire development lifecycle</li></ul><ul><li>
Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization</li><li>
Define, create, and support reusable data components and patterns that align with both business and technology requirements</li><li>
Build a world-class analytics platform to satisfy reporting needs</li><li>
Mentor other engineers</li><li>
Consistently share best practices and improve processes within and across teams</li></ul>
Qualifications<ul><li>
Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes)</li><li>
Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus</li><li>
Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines</li></ul><ul><li>
Experience with business intelligence tools (Power BI or Superset preferred)</li><li>
Proven understanding of microservices oriented architecture and REST APIs and GraphQL</li><li>
Experience architecting and designing new and current systems</li><li>
Advanced understanding of DevOps concepts including Azure DevOps framework and tools</li><li>
Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions</li><li>
Advanced PowerShell scripting skills</li><li>
Advanced understanding of monitoring concepts and tooling</li><li>
Advanced understanding of security protocols and products</li><li>
In-depth knowledge of CS data structures and algorithms</li><li>
Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication)</li><li>
Strong problem-solving ability</li><li>
Ability to excel in a fast-paced environment</li></ul>
 Experience<ul><li>
4+ years of professional experience in data engineering, programming languages and developing with big data technologies</li><li>
3+ years of experience with architecture and design</li><li>
3+ years of experience with AWS, GCP, Azure, or another cloud service</li><li>
2+ years of experience in Big-data tools like Spark and Databricks</li></ul>
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or equivalent education or work experience</li></ul> 
Annual Salary
$80,000.00 - $215,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations. 

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. 
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.<ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</div>

Senior Engineer - Data

Weyerhaeuser

<div>
 
 About Weyerhaeuser
 
 
 
 At Weyerhaeuser, we are the world&rsquo;s premier timber, land, and forest products company. Sustainability is the founding concept of our business and our values drive every decision to ensure we continue to lead the forestry industry in sustainability practices. And we know about sustainability &ndash; we led it in the forestry industry when we planted our first seedling by hand in 1938. We recognize that our success is dependent on the success of our people. For over 125 years, our Weyerhaeuser team has been making a difference in the world &ndash; from the seedlings we plant, to the forests and trees we nurture, we ensure every acre is managed with diligence, patience and pride. That&rsquo;s the Weyerhaeuser way.
 
 
 
 About The Role
 
 
 
 Weyerhaeuser&rsquo;s Data &amp; Analytics team is looking for a Data Engineer to build and operate the data platform that powers reporting, analytics, and AI across the enterprise. This hands-on role focuses on building scalable, reliable, well-governed pipelines that move data. We invest heavily in template- and metadata-driven patterns, so onboarding a new source is a configuration exercise, not a net-new build.
 
 
 We expect engineers to use AI as a force multiplier &mdash; both in how we build the platform (LLM-assisted development, testing, and documentation) and in what we deliver from it (AI-ready data products grounded in well-modeled sources). This role partners closely with source-system owners, analytics engineers, data scientists, and data analysts. It&rsquo;s well suited for someone who thrives in a fast-paced environment, has strong opinions about data quality and pipeline reliability, and is energized by building scalable foundations rather than one-off integrations.
 
 
 
 Responsibilities
 
 
 
 Ingestion &amp; Integration
 
 
 <ul>
 <li>
 Design and maintain ingestion pipelines that move data from SAP, relational databases, flat files, REST APIs, message queues, and SaaS applications into our data lake/Snowflake.
 </li>
 <li>
 Extend our metadata-driven and template-driven ADF pipeline frameworks so onboarding a new source is a configuration exercise &mdash; schema mapping, validation, and config, not handwritten pipelines.
 </li>
 <li>
 Develop Python-based Azure Functions for custom ingestion logic, REST API integrations, paging/retry handling, and schema reconciliation.
 </li>
 <li>
 Implement reliable full and incremental data load patterns &mdash; watermarking, CDC, late-arriving data, and replayable backfills.
 
 
 </li>
 </ul>
 Modeling &amp; Transformation
 
 
 <ul>
 <li>
 Land and preserve history of raw data in the Azure data lake or Snowflake (bronze), then build dbt models that conform, deduplicate, standardize, and enrich it into clean silver datasets.
 </li>
 <li>
 Partner with analytics engineers and data analysts to build dimensional models and semantic views that enable AI-ready datasets.
 
 
 </li>
 </ul>
 Orchestration &amp; Reliability
 
 
 <ul>
 <li>
 Orchestrate end-to-end workflows in Azure Data Factory &mdash; dependencies, parameterization, retries, dynamic parallelism, and error handling for complex multi-source pipelines.
 </li>
 <li>
 Build monitoring, alerting, and own incident response &mdash; triage, root-cause analysis, and backfills, including occasional off-hours coverage for critical loads.
 </li>
 <li>
 Tune pipelines and Snowflake workloads for performance and cost
 
 
 </li>
 </ul>
 Data Quality, Security &amp; Governance
 
 
 <ul>
 <li>
 Implement data quality rules &mdash; schema validation, completeness, freshness, business-rule checks, and anomaly detection &mdash; wired into pipelines.
 </li>
 <li>
 Apply security and compliance best practices and contribute to lineage, metadata, and catalog efforts.
 
 
 </li>
 </ul>
 Platform &amp; Engineering Practices
 
 
 <ul>
 <li>
 Partner with Data Platform Engineers on Terraform-managed cloud resources, and CICD pipelines.
 </li>
 <li>
 Drive engineering best practices &mdash; version control, testing, documentation, observability, and document pipelines, schemas, contracts, and runbooks so the platform is supportable by the broader team.
 </li>
 <li>
 Mentor junior engineers, contribute to design reviews, and help evaluate new tools and patterns. Contribute to code reviews.
 
 
 </li>
 </ul>
 AI Enablement
 
 
 <ul>
 <li>
 Skilled in the use of AI assistants and LLM-powered tools to accelerate development, generate and improve tests, and produce or maintain documentation.
 
 
 </li>
 </ul>
 Collaboration
 
 
 <ul>
 <li>
 Partner with analytics engineers, data analysts, and data scientists to translate requirements into reliable raw data pipelines they can model into downstream products.
 </li>
 <li>
 Communicate technical concepts and trade-offs clearly to both technical and non-technical audiences.
 
 
 </li>
 </ul>
 
 Job
 
 
 
 Information Technology
 
 
 
 Primary Location
 
 
 
 USA-WA-Seattle
 
 
 
 Schedule
 
 
 
 Full-time
 
 
 
 Job Level
 
 
 
 Individual Contributor
 
 
 
 Job Type
 
 
 
 Experienced
 
 
 
 Shift
 
 
 
 Day (1st)
 
 
 
 Relocation Assistance
 
 
 
 Available
 
 
 What You&rsquo;ll Have
 
 
 
 Required
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering
 </li>
 <li>
 4+ years of hands-on data engineering experience building and operating production data pipelines.
 </li>
 <li>
 Strong proficiency in SQL (including performance tuning) and Python (readable, testable, maintainable code).
 </li>
 <li>
 Production experience with a cloud-based ingestion and orchestration platform &mdash; Azure Data Factory and Azure Functions preferred, though comparable tools (Fabric Pipelines, AWS Glue/Step Functions, Airflow, Dagster, Prefect, etc.) are acceptable &mdash; including parameterized, dynamic, and metadata-driven pipeline patterns.
 </li>
 <li>
 Production experience with dbt or a comparable transformation framework, including building and choosing across materialization patterns (views, tables, incremental, ephemeral, snapshots), test coverage, documentation, and history preservation.
 </li>
 <li>
 Production experience with Snowflake or similar data platform: loading patterns, role-based access, performance tuning, and cost-aware design.
 </li>
 <li>
 Demonstrated experience ingesting from a variety of sources: relational databases, SAP, flat files, REST APIs (JSON/XML), and SaaS applications.
 </li>
 <li>
 Experience implementing incremental/delta load patterns and managing watermarking, CDC, schema evolution, and backfills.
 </li>
 <li>
 Working knowledge of Terraform for provisioning Azure and/or Snowflake resources.
 </li>
 <li>
 Solid understanding of data quality, monitoring, alerting, and operational support practices.
 </li>
 <li>
 Working proficiency with Git, pull-request workflows, and CI/CD pipelines for data &mdash; code review, automated testing, and promotion across environments are part of how you ship.
 </li>
 <li>
 AI in your engineering workflow &mdash; demonstrated use of AI assistants and LLM-powered tools to accelerate development, generate and improve tests, and produce or maintain documentation.
 </li>
 <li>
 Track record of owning reliability &mdash; not just shipping features, but keeping data flowing cleanly over time.
 </li>
 <li>
 Strong communication skills and the ability to work cross-functionally with engineering, analytics, and business teams.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Exposure or familiarly working with geo-spatial datasets and using geo-spatial functions
 </li>
 <li>
 Exposure or familiarity with Iceberg table structures and operations
 </li>
 <li>
 Experience designing reusable, config-driven ingestion frameworks at scale.
 </li>
 <li>
 Exposure to streaming or near-real-time ingestion (Event Hubs, Kafka, or similar).
 </li>
 <li>
 Familiarity with data governance, lineage, and catalog tooling.
 </li>
 <li>
 Experience with BI tools such as Power BI in a downstream/consumer context.
 </li>
 <li>
 Experience working with manufacturing, supply chain, or forestry/natural-resources data domains.
 
 
 </li>
 </ul>
 
 Location:
 
 This role will be based out of our corporate office in Seattle, WA.
 
 
 
 What We Offer
 
 
 
 Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $98,811-$148,217 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 10% of base pay. Potential plan funding may range from zero to two times that target.
 
 
 
 Benefits:
 
 When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career.
 
 
 
 Retirement:
 
 Employees are able to enroll in our company&rsquo;s 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary.
 
 
 
 Paid Time Off or Vacation:
 
 We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees.
 
 
 
 Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
 
</div>

Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. 
 
Are you interested in shaping the future of entertainment? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe? 
 
As part of the Prime Video team, you&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. Also, you&rsquo;ll get to experiment with new possibilities, take risks, and collaborate with remarkable people. 
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented creatives, technologists, marketing professionals and so much more, you can decide where a career with Prime Video takes you! 
 
We are seeking a highly skilled and technically adept Data Engineer to join our PVA Data Engineering team. In this role, you will design, build, and maintain scalable, fault-tolerant data pipelines and infrastructure to support data-driven insights. Leveraging native AWS technologies and Amazon&rsquo;s internal tools, you will handle data ingestion, transformation, integration, and ensure high standards of data quality through validation, cleansing, and deduplication. 
 
You will also be responsible for architecting high-performance, scalable, and cost-efficient big data processing and storage solutions, automating infrastructure with CI/CD principles, and optimizing data models to drive efficient ETL processes. You will be interfacing with several key services and APIs, write code and build applications in a scalable manner to extract, process, ingest unstructured data in a streaming, batch and asynchronous fashion. 
 
Your role will also focus on data governance, ensuring compliance with policies, implementing access controls, encryption, retention, and audit mechanisms. Additionally, you will work on continuous improvement by automating processes and adopting the latest data engineering technologies. Collaboration with Data Scientists, Business Intelligence Engineers (BIEs), Software Development Engineers (SDEs), Product Managers (PMs), and functional managers will be key to delivering tailored data solutions. 
 
You'll also manage diverse technologies such as Python, EMR, Spark, Iceberg, Airflow, and many AWS data services like Glue, Athena, Redshift to build a scalable platform that supports analytics and experimentation. The ideal candidate must be customer-obsessed with a passion for advertising, able to synthesize a variety of technologies, and effectively lead complex projects. 
 
In this position, your attention to detail and dedication to high-quality, well-documented data products will empower stakeholders to make better, data-driven decisions. 
 
Key job responsibilities 
<ul><li>Design and implement scalable, fault-tolerant data pipelines using AWS technologies and internal Amazon tools to extract, transform, and load data from multiple sources.</li><li>Collaborate cross-functionally with BIEs, Data Scientists, PMs, and SDEs to understand data requirements and deliver customized data solutions.</li><li>Automate infrastructure deployment with CI/CD pipelines and ensure streamlined processes for deployment and maintenance.</li><li>Ensure data quality through robust validation, cleansing, and deduplication techniques.</li><li>Implement data governance standards, including access control, encryption, data retention, deletion policies, and audit mechanisms to ensure compliance and security.</li><li>Continuously improve and optimize data pipelines and infrastructure, staying up to date with emerging technologies and implementing automation and monitoring tools.</li><li>Build a scalable and reliable data platform supporting analytics and experimentation for intuitive, self-service data products.</li><li>Write high quality code and build scalable applications that interface with critical services and APIs to extract and process unstructured data</li><li>Work with a range of data technologies, including Python, EMR, Spark, Iceberg, Airflow, and many AWS data services like Glue, Athena, Redshift to create end-to-end pipelines that consolidate data from disparate systems.</li></ul> 
About the team 
Prime Video Advertising - Data Engineering(&ldquo;PVA-DE&rdquo;) team is a central data and analytics team within the PV-Ads org that plays a pivotal role in fueling the worldwide growth of Amazon&rsquo;s video advertising business. We own data platform, reporting, dashboards, measurement, and analytical solutions for PV Ads.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</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">
PREFERRED QUALIFICATIONS</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> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer II, Prime Video Advertising

Headspace

<div>About the Senior Data Engineer at Headspace:

As a Senior Data Engineer at Headspace, you will help build the modern data platform that powers personalized, ethical, and scalable mental health support for millions of members. In this role, you will design and implement robust data pipelines, partner closely with analytics, data science, and engineering teams, and help create a secure, compliant, and privacy-focused data foundation. This is an opportunity to do high-impact work at the intersection of data, innovation, and mission&mdash;enabling smarter decisions, better member experiences, and the future of personalized mental health care.
What you will do:
<ul>
<li>Contribute to architecture and implement robust data pipelines to ingest, aggregate, and index diverse data sources into the organization's data lake</li>
<li>Drive the creation of a secure, compliant, and privacy-focused data warehousing solution tailored to meet the healthcare industry's stringent requirements</li>
<li>Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting on key business metrics</li>
<li>Collaborate with the data science and machine learning teams to build tools and capabilities that foster rapid experimentation and innovation</li>
<li>Support peers and champion a culture that values data as a strategic asset across the organization</li>
</ul>
What you will bring:

Required Skills:
<ul>
<li>4+ years of proven success designing and implementing large-scale data systems</li>
<li>Strong understanding of core python, its tooling (pip, poetry, popular frameworks like pytest or pydantic)</li>
<li>Strong pyspark experience (dataframe API) and understanding of internal architecture and optimization techniques</li>
<li>Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake</li>
<li>Demonstrated expertise in architectural patterns for building high-volume ETL pipelines</li>
<li>Experience with data modelling, Medallion architecture, pipeline design, metrics calculation and technical documentation</li>
<li>Exceptional oral and written communication abilities, facilitating effective cross-functional collaboration</li>
<li>BA/BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience</li>
</ul>
Preferred Skills:
<ul>
<li>Experience in deployment and infrastructure management using Terraform is a plus</li>
<li>Prior experience implementing governance, privacy, and security frameworks across a data platform</li>
<li>Familiarity with the complexities of PII/PHI data, HIPAA, and biometrics data</li>
<li>Experience migrating or working with DBT for transformations, documentation, and lineage tracking</li>
<li>Experience in developing AI-ready architecture, such as creating semantic layers that standardize business logic for Agentic AI enablement</li>
</ul>
Location: This role is open to candidates across the US, with preferred locations in San Francisco, CA (hybrid), New York City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US full-time.

If your primary residence is in the greater San Francisco Bay Area, this role follows our hybrid model, with 3 days per week in office to support in-person collaboration. Your recruiter will share more details.

Pay &amp; Benefits:

The anticipated new hire base salary range for this full-time position is $122,400-170,000 + equity + benefits.

For candidates based in San Francisco, New York City, or Seattle, a separate salary range of $156,400-$195,500 applies, consistent with our location-based compensation philosophy.

Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. 
Your recruiter will provide more details on the specific salary range for your location during the hiring process.

At Headspace, base salary is but one component of our Total Rewards package. We're proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process.

About Headspace

Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that's effective, personalized, and truly accessible whenever and wherever they need it.

At Headspace, our values aren't just what we believe, they're how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They're our shared commitment to building a more connected, human-centered team&mdash;one that's redefining how mental health care supports people today and for generations to come.

Why You'll Love Working Here:
<ul>
<li>A mission that matters&mdash;with impact you can see and feel</li>
<li>A culture that's collaborative, inclusive, and grounded in our values</li>
<li>The chance to shape what mental health care looks like next</li>
<li>Competitive pay and benefits that support your whole self</li>
</ul>
How we feel about Diversity, Equity, Inclusion and Belonging:

Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse &amp; inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.

As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.
<ul><li>Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process.</li></ul>

Headspace participates in the E-Verify Program.

Privacy Statement

All member records are protected according to our Privacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship&mdash;including, for example, a managerial relationship.
As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment.

Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.

For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice</div>

Senior Data Engineer

Explore 55+ Data analytics engineer in Seattle this June. Find roles across top companies and apply now to boost your career.