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bi engineer data analytics

Costco Wholesale

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

BI Engineer - Data Analytics

Rippling

<div><h2 class="jobSectionHeader"><b>About Rippling</b></h2><p>
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.</p><p></p><p><br>
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365&mdash;all within 90 seconds.</p><p></p><p><br>
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world&rsquo;s top investors&mdash;including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock&mdash;and was named one of America's best startup employers by Forbes.</p><p></p><p><br>
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.</p><h2 class="jobSectionHeader"><b><br>
About the Data Cloud Team</b></h2><p>
Rippling Data Cloud is a new suite of products that aggregates data from across your company into Rippling, connects it to worker identity, and makes it available for analysis, visualization and action. It preserves and enriches data context to enable precise and accurate answers to your most important and nuanced business questions.</p><p></p><p><br>
It's a complete data stack including data connectors, transformations, visualizations, AI-powered analytics, and even inbound Zero-Copy. It understands how all of that data relates to employees, managers, departments, locations, cost centers, permissions, and historical changes in your ever-changing business. That makes it possible to ask questions that traditional BI systems struggle to answer correctly.</p><h2 class="jobSectionHeader"><b>
Data Cloud as the foundation for Rippling AI</b></h2><p>
Data Cloud and AI are deeply connected in Rippling. Data Cloud is the data infrastructure layer that powers Rippling AI. Here's how they relate:</p><p></p><p><b><br>
Data Cloud provides the unified data that AI reasons over:</b><br>
Rippling AI leverages the Employee Graph and all platform data (payroll rules, earnings types, deduction logic, permissions, etc.) as its source of truthBecause Rippling is a unified platform rather than stitched-together acquisitions, the data is clean, consistent, and complete which makes AI answers accurate and context-awareAI respects the same permissions model as the rest of the platform, so it only surfaces data the user is authorized to see</p><p></p><p><b><br>
The Rippling AI unlocks advanced Data Cloud capabilities:</b></p><ul><li>
AI Dashboards: build dashboards from scratch using natural language prompts</li><li>
Transformations: full publish access</li><li>
Pipelines: ingest data via managed connectors</li><li>
Lineage &amp; Catalog: explore data lineage for reports</li><li>
Advanced features: parameters, SQL queries, and the ability to incorporate third-party data</li></ul><p></p><p><b><br>
Why this matters</b></p><p>
Most HR/Finance systems weren't built for AI. Their data is messy and fragmented. Rippling AI is described as the first &quot;context-aware, senior analyst&quot; for HR and Finance teams because it sits on top of a unified data model (Data Cloud + Employee Graph) that actually understands your business logic end-to-end.</p><h2 class="jobSectionHeader"><b>
What We Build</b></h2><p>
The team is focused on the following core domains:</p><ul><li><b>
Analytics</b> &ndash; Focuses on the reporting and dashboarding products that enable users to visualize and analyze data within Rippling.</li><li><b>
Data Access</b> &ndash; Owns the query engine (RQL, Rippling Query Language) that powers data retrieval across the platform. This area includes sub-teams responsible for query execution, data ingestion, and query history.</li><li><b>
Data Management</b> &ndash; Owns the metadata and data catalog layer, including how data assets are discovered, governed, and documented.</li><li><b>
Ingest &amp; Prep </b>&ndash; Responsible for bringing external data into Rippling. This area includes Managed Connectors (pre-built integrations with third-party systems) and Transformations (data shaping and preparation).</li><li><b>
Insights</b> &ndash; A newer area within Data Cloud focused on surfacing actionable insights from data.</li></ul><h2 class="jobSectionHeader"><b>
What you will do</b></h2><ul><li>
Develop and improve both product backend capabilities and user-facing features, working across the stack to make them shine</li><li>
Collaborate closely with PMs and designers to translate complex product requirements and visual designs into responsive, high-quality code.</li><li>
Move quickly and confidently, making smart decisions to fill in the gaps where product details aren&rsquo;t fully defined&mdash;always learning from user feedback.</li><li>
Play an active role in building a culture of excellence within our product and engineering teams.</li></ul><h2 class="jobSectionHeader"><b>
What you will need</b></h2><ul><li>
5+ years of experience in a production environment using Python, Django, or related technologies.</li><li>
Familiarity in frontend development with React or typescript.</li><li>
Exposure and hands on experience with systems operating at a significant technical and organizational scale</li><li>
Strong product intuition: you care about design and user experience and are quick to identify how these could be improved.</li><li>
Experience shipping complex projects</li><li>
Deep understanding of CS/algorithms fundamentals</li><li>
Strong communication skills with a variety of stakeholders</li></ul><h2 class="jobSectionHeader"><b>
Additional Information</b></h2><p>
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@rippling.com</p><p></p><p><br>
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.</p><p></p><p><br>
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.</p><p></p><p><br>
A variety of factors are considered when determining someone&rsquo;s compensation&ndash;including a candidate&rsquo;s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.</p><p></p><b><br>
The pay range for this role is:</b><br>
168,000 - 280,000 USD per year(US Tier 1)</div>

Senior Software Engineer, Backend Full Stack - Data Cloud

Apple

<p>The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. This team powers the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books, operating at massive scale and meeting Apple&rsquo;s high standards for performance and quality to deliver entertainment in over 35 languages across more than 150 countries.<br>
<br>
We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings a deep passion for building large-scale distributed data processing systems, frameworks, and platforms using big data technologies.<br>
<br>
<b>Description</b><br>
<br>
As a team member of the ASE Analytics &amp; Data Engineering team, you will have significant responsibility and influence in shaping the team&rsquo;s future direction. This role is inherently cross-functional, and the ideal candidate will work closely across disciplines. We are looking for someone with a strong love for data and the ability to iterate quickly across all stages of the data pipeline lifecycle.<br>
<br>
This position involves working on a small, highly collaborative team to develop large-scale data pipelines and analytical solutions using big data technologies. Successful candidates will demonstrate strong engineering and communication skills, along with a belief that data-driven processes lead to exceptional products. You should have a passion for quality and an ability to understand and evolve sophisticated systems.<br>
<br>
&quot;,&quot;responsibilities&quot;:&quot;You will have the opportunity to:<br>
<br>
Work with a cross-functional team, collaborating with partners across product, engineering, operations, and business, and closely partner with stakeholders to translate requirements into scalable engineering solutions<br>
<br>
Help drive architectural vision to support future growth and opportunities<br>
<br>
Design, build, and maintain data pipelines and datasets that power key product features and insights, while protecting user privacy<br>
<br>
Own data quality, scalability, and SLAs for assigned datasets and pipelines<br>
<br>
Champion technical excellence and cultivate team spirit by contributing to best practices, documentation, shared tools, and solutions to common problems<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Excellent collaboration and communication skills, with the ability to listen, influence, and drive solutions cohesively<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, a related quantitative field, or equivalent practical experience<br>
<br>
6+ years of experience building production systems using Java and/or Scala, with strong proficiency in Java and/or Scala for large-scale distributed data processing and familiarity with functional programming paradigms.<br>
<br>
Deep understanding of distributed batch and streaming data processing systems such as Spark, Flink, and Kafka<br>
<br>
Experience with big data ecosystem technologies such as HDFS, Hadoop, S3, MPP database, Kubernetes and Airflow.<br>
<br>
Proven track record of designing, launching, and scaling production-quality data pipelines that power product features<br>
<br>
Strong data intuition, backed by solid SQL and data analysis skills<br>
<br>
Experience with GDPR compliance and best practices for collecting, processing, and sharing data responsibly<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Software Engineer, Big Data - Apple Services Engineering

Amazon.com

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

Senior Data Engineer, Price Perception and Evaluation

Fred Hutchinson Cancer Center

<div>Overview:
<div>
Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.</div><div></div><div><br>
With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world&rsquo;s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world&rsquo;s deadliest diseases and make life beyond cancer a reality.</div><div></div><div><br>
At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.</div><div></div><div><br>
The <b>Data Governance Specialist III </b>designs, implements, and operates the enterprise data governance program within Fred Hutch's Information Security function. The role centers on protecting sensitive clinical, research, and operational data &mdash; ensuring it is properly classified, controlled, and used in compliance with applicable regulations and institutional policy.</div><div></div><div><br>
This role works closely with the Office of the Chief Data Officer (OCDO), GRC, Privacy, Legal, and research and clinical business units to put data governance into practice and brings both technical depth and policy fluency to one of the organization's most critical compliance functions.</div><div></div><div><br>
Most Fred Hutch jobs require <i>some</i> on-campus work. However, there may be flexibility for certain positions. Please check with the recruiter if you are an out-of-state applicant interested only in working outside of the Seattle area.</div><br>
<div></div>
Responsibilities:
<div><b>
Data Governance Program</b></div><ul><li>
Own and maintain the enterprise data classification and handling program, including policies, standards, and data inventories.</li><li>
Develop and operate processes for data lifecycle management &mdash; covering data ownership/stewardship, data lineage, retention, de-identification, and secondary use in research and clinical contexts.</li><li>
Partner with OCDO, Privacy, and Legal to ensure data governance policies are consistently applied across systems, cloud services, and research platforms.</li><li>
Provide governance guidance on projects involving data collection, integration, analytics, and AI/ML use cases, including IRB-adjacent data use considerations.</li></ul><div><b>
Compliance &amp; Risk</b></div><ul><li>
Assess data-related risks across systems, applications, third-party vendors, and cloud environments; track and drive remediation.</li><li>
Support external audits and assessments involving data (HIPAA, HITRUST, research compliance), including evidence preparation and response coordination.</li><li>
Collaborate with Privacy and Legal to interpret and operationalize current and emerging regulations: HIPAA/HITECH (including the 2025 Security Rule updates), GDPR, the Common Rule, and FDA 21 CFR Part 11.</li><li>
Maintain data protection impact assessments, handling standards, and records of processing activities and policy exceptions.</li></ul><div><b>
Operations &amp; Tooling</b></div><ul><li>
Recommend and oversee data protection technologies including DLP, CASB, DSPM, and data discovery/classification tools.</li><li>
Maintain enterprise data flow documentation: systems of record, data transfers, cross-border flows, and third-party obligations.</li><li>
Work with Security Operations monitoring for data-related threats (exfiltration, misuse); support incident response scoping and regulatory notification requirements.</li><li>
Define and report metrics on data governance program effectiveness for executive and regulatory audiences.</li></ul><div><b>
Training &amp; Collaboration</b></div><ul><li>
Deliver targeted awareness training on data handling, classification, and secure use of cloud and collaboration platforms.</li><li>
Mentor team members and contribute to maturing data governance practices across the organization.</li></ul>
Qualifications:
<div><b>
MINIMUM QUALIFICATIONS:</b></div><ul><li>
Bachelor&rsquo;s degree in information technology, computer science, business analytics, statistics, data science, public health, or other scientific or health-related field.</li><li>
Minimum 9 years of experience in data analytics, data management, governance, privacy, security or related disciplines (a Master&rsquo;s degree can substitute for two years of professional experience).</li><li>
Strong evidence of excellent cross-discipline communication via written and verbal communication with ability to present complex technical information in a clear and concise manner to a variety of audiences, including executives and non-technical leaders.</li><li>
Demonstrated expertise in managing enterprise-wide governance initiatives across data domains.</li><li>
Demonstrated ability to scale and sustain external and internal initiatives and partnerships around data governance functions.</li></ul><div><b>
PREFERRED QUALIFICATIONS:</b></div><ul><li>
Hands-on experience with data protection and governance tools (DLP, DSPM, data classification/discovery tools, data catalogs, or equivalent).</li><li>
Working knowledge of healthcare and research regulatory frameworks: HIPAA/HITECH, the Common Rule, FDA 21 CFR Part 11, and related state privacy laws.</li><li>
Familiarity with security and risk frameworks: NIST 800-53, NIST CSF, HITRUST CSF, and NIST AI RMF.</li><li>
Proven ability to translate complex regulatory and policy requirements into practical controls and operational processes.</li><li>
Strong written and verbal communication skills; comfortable presenting data risk topics to executive and non-technical audiences.</li><li>
High integrity and sound judgment when handling sensitive, confidential information.</li><li>
Experience in a research or academic medical center environment, including familiarity with research data sharing agreements, data use agreements (DUAs), and IRB processes.</li><li>
Experience integrating GRC platforms with data governance and security tooling for control monitoring and evidence collection.</li><li>
Proficiency with cloud data platforms (Azure, AWS) and modern data architectures (data lakes, pipelines, analytics platforms).</li><li>
Experience evaluating AI/ML pipelines and data sets for compliance, privacy, and ethical use requirements.</li><li>
Ability to script or automate governance processes (Python, PowerShell, or API integrations).</li><li>
Relevant certifications: CDMP, CIPT, CIPP/US, HCISPP, CISSP, CISM, CRISC, or HITRUST CCSFP.</li></ul><p></p><div>
The annual base salary range for this position is from $115,170 to $182,021, and pay offered will be based on experience and qualifications.</div><div></div><div><br>
Most Fred Hutch jobs require <i>some</i> on-campus work. However, there may be flexibility for certain positions. Please check with the recruiter if you are an out-of-state applicant interested only in working outside of the Seattle area. This position may be eligible for a sign-on bonus.<br>
<br>
Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.<br>
<br>
Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).</div>
Additional Information: We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.</div>

Data Governance Specialist III

Boeing

<p></p><div><p>At Boeing, we innovate and collaborate to make the world a better place. We&rsquo;re committed to fostering an environment for every teammate that&rsquo;s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.</p>
<p>Boing Global Services Training Solutions is seeking an <b>Senior </b><b>AI Analyst </b>in <b>Seattle, WA.</b> This is an onsite position.</p>
<p></p><p>In this role, you&rsquo;ll identify and prioritize AI opportunities across CTS, lead experiments and prototypes, and partner with engineering, product, and business teams to move solutions into production.</p>
<p></p><p>You&rsquo;ll directly improve customer and internal user experiences, unlock efficiency gains, and help deliver new product features; all while establishing governance, measuring ROI, and accelerating adoption across the organization.</p>
<p></p><p>Join a collaborative team in <b>Seattle</b> where your technical judgment, business sense, and execution skills will create visible, measurable value.</p>
<p></p><p><b>Responsibilities:</b></p>
<ul><li><p>Conduct stakeholder interviews, process mapping, and data discovery to identify AI use cases.</p>
</li><li><p>Assess and prioritize use cases based on impact, feasibility, and data readiness.</p>
</li><li><p>Define success criteria, KPIs, and minimal viable experiments for candidate use cases.</p>
</li><li><p>Build prototypes or proofs‑of‑concept with data scientists and engineers.</p>
</li><li><p>Support engineering and MLOps teams to prepare prototypes for production transition.</p>
</li><li><p>Produce user‑facing documentation, training, and adoption materials; report outcomes and ROI to stakeholders.</p>
</li><li><p>Ensure privacy, security, and responsible AI considerations are included in project plans.</p>
</li></ul><p></p><p><b>Basic Qualifications (Required Skills/Experience):</b></p>
<ul><li><p>5+ years experience in AI/ML, analytics, digital transformation and/or data proficiency, or related fields supporting applied AI initiatives</p>
</li><li><p>5+ years experience identifying use cases, defining KPIs and demonstrating business impact</p>
</li><li><p>Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Engineering, or related field</p>
</li></ul><p></p><p><b>Preferred Qualifications (Desired Skills/Experience):
</b></p><ul><li><p>Hands‑on with Python, Jupyter, or low‑code ML platforms</p>
</li><li><p>Experience with MLOps tools or collaborating closely with MLOps/engineering teams</p>
</li><li><p>Experience with LLMs, embeddings, vector DBs, or RAG solutions is a plus</p>
</li><li><p>Strong communication and stakeholder management skills</p>
</li><li><p>Familiarity with responsible AI practices and basic model evaluation concepts</p>
</li><li><p>Advanced degree preferred</p>
</li></ul><p></p><p><b>Conflict of Interest:</b></p>
<p></p><p>Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.</p>
<p></p><p><b>Drug Free Workplace:</b></p>
<p></p><p>Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.</p>
<p></p><p><b>Pay &amp; Benefits:</b></p>
<p></p><p>At Boeing, we strive to deliver a Total Rewards package that will attract, engage, and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
</p><p></p><p>The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
</p><p></p><p>The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.</p>
<p></p><p>Pay is based upon candidate experience and qualifications, as well as market and business considerations.</p>
<p>Summary pay range: $173,400 - $234,600</p><br>
<br>
<p>Applications for this position will be accepted until <b>Jul. 25, 2026</b></p><br>
<br>
<p><b>Export Control Requirements:
</b></p><p>This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a &ldquo;U.S. Person&rdquo; as defined by 22 C.F.R. &sect;120.62 is required. &ldquo;U.S. Person&rdquo; includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.</p>
<p><b>Export Control Details:
</b></p><p>US based job, US Person required</p>
<p><b>Education
</b></p><p>Bachelor's Degree or Equivalent Required</p>
<p><b>Relocation
</b></p><p>Relocation assistance is not a negotiable benefit for this position.</p>
<p><b>Visa Sponsorship
</b></p><p>Employer will not sponsor applicants for employment visa status.</p>
<p><b>Shift
</b></p><p>This position is for 1st shift</p><br>
<br>
<p><b>Equal Opportunity Employer:</b></p>
<p>Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.</p></div>
<br><div><h2 class="jobSectionHeader"><b>Your Benefits</b></h2>
<p>No matter where you are in life, our benefits help prepare you for the present and the future.</p>
<ul><li>Generous company match to your 401(k).</li>
<li>Industry-leading tuition assistance program pays your institution directly.</li>
<li>Fertility, adoption, and surrogacy benefits.</li>
<li>Up to $10,000 gift match when you support your favorite nonprofit organizations.</li></ul><br>
<p>These programs are subject to eligibility requirements and other conditions, which may differ for employees of certain subsidiaries or business units, or union-represented employees depending on bargaining agreement terms. If this information conflicts with the program documents, the latter shall control. This material is informational only.</p></div>

Senior AI Analyst

Google

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

Software Engineer III, GCS Resource Engineering

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