business intelligence engineer, aws support s&o - esso - strategy, planning & inspection (spi)

customer engineer, data management, retail, google cloud

data analytics consultant, healthcare practice

data engineer

ai/ml computational science specialist Jobs in Seattle

ai/ml computational science specialist

business intelligence engineer, aws support s&o - esso - strategy, planning & inspection (spi) Jobs in Seattle

customer engineer, data management, retail, google cloud Jobs in Seattle

data analytics consultant, healthcare practice Jobs in Seattle

data engineer sptc

Amazon.com

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

University Of Washington

<div>Job Description
The University of Washington is one of the world&rsquo;s preeminent public universities in impact and funding. Since 1972, the UW has continued to receive more externally sponsored research funding than any other U.S. public university and is one of the few universities in the U.S. with total research funding nearing two billion. That funding drives crucial, ground-breaking research that transforms lives around the globe. In the Office of Research at UW, we take pride in creating an outstanding climate of support for UW researchers that helps them compete and succeed. However, the complexity of research administration and regulation grows each day. Our mission in ORIS (Office of Research Information Services) is to reduce that administrative burden by streamlining and automating information services so researchers can spend more time researching.
The Data Engineer/DBA (Database Administrator) will be responsible for ensuring the stability, performance, and security of the databases and data that support ORIS systems. ORIS&rsquo;s data infrastructure supports systems and services used by award-winning faculty and staff to perform administrative activities including submission of funding applications for consideration, routing them electronically for approval, managing detailed multi-year grant budgets, integrating with other UW systems, and providing reporting capabilities to academic and administrative users. This will reduce the administrative burden on researchers across the University by improving the amount of time researchers can spend on researching; improving University compliance; and ensuring that the University can continue to be at the forefront of academic research.
The Data Engineer/DBA position is charged with ensuring that database resources meet security, performance, reliability, and availability requirements. The Data Engineer/DBA will partner with development teams across multiple products and will need to work with different database systems and hosting platforms. The DBA will provide consultation and assistance in database and data design and will be responsible for provisioning, optimization, operations, and business continuity. The Data Engineer/DBA will work to ensure secure and dependable database performance and operations through implementation, test, integration test, and migration and production deployment and cutover phases. Operations consist of supporting a range of data software components, infrastructure, integrations, and services, some of which target 24/7/365 availability.
Successful candidates must have a solid background in design and implementation of databases and other data infrastructure that support online applications, reporting and analytics, and integrations with other systems.
The Data Engineer/DBA supports databases across platforms and products, both in the cloud and on-premises. The Data Engineer/DBA must provide support through all phases of development as well as production support. A successful person in this position must &hellip;
<ul><li>Collaborate and consult with multiple teams of diverse staff including junior and senior engineering staff as well as technical leads, product owners, and project managers across multiple products.
</li><li>Align data and database configuration, maintenance, and operations with overall ORIS IT operational goals and business objectives as outlined by ORIS program portfolio that supports UW&rsquo;s $1.89 billion research enterprise.
</li><li>Lead, plan, and advise on the strategic and tactical direction of all facets of data and database administration across multiple products, from meeting minimum security requirements to ensuring stability, performance, and availability requirements are met.
</li></ul>This position advances the Office of Research&rsquo;s mission to support the integration of electronic research information systems both as a data engineer, ensuring the optimized and performance applications with the data layer and, as an administrator, ensuring the security and reliability of ORIS&rsquo;s core database operations. This will reduce the administrative burden on researchers across the University by improving the amount of time researchers can spend on researching; improving University compliance; and ensuring that the University can continue to be at the forefront of academic research.
Responsibilities:
Operations and Administration &ndash; 60%
<ul><li>Design, deploy, configure, maintain, and deprecate database environments, databases, data schema, and data elements to support novel applications development and support
</li><li>Develop and assist with SQL query design for applications and reporting to meet organizational needs and ORIS commitments
</li><li>Recommend, design, implement, and maintain automation to reduce repetitive software development and maintenance tasks and increase application performance
</li><li>Maintain configuration and management of databases across Non-Prod and Prod environments to ensure optimal uptime and performance for ORIS products and services
</li><li>Engage and participate in ORIS&rsquo; culture of review both as reviewer and reviewee to ensure shared knowledge of development practices and high-quality code
</li><li>Implement and maintain regular database backup and retention plans to ensure that database archiving and disposition requirements are met
</li><li>Determine, implement, and maintain performance monitoring and tuning strategies to ensure that databases operate within security, reliability, and availability requirements
</li><li>Configure logging and monitoring to ensure reliable and accurate reporting on database and application health and performance
</li><li>Participate in software release (possibly including off hours release and update times)
</li><li>Plan and carry out any needed data migrations and system upgrades and updates
</li><li>Monitor ETLs and other regular or scheduled database processes and take appropriate steps when failures occur
</li><li>Research and respond to alerts and notifications of real or potential issues to proactively communicate and address problems
</li><li>Research data and database issues as they pertain to production support and non-production support requests, including application SQL queries
</li><li>Ensure business continuity and disaster recovery for ORIS databases
</li><li>Troubleshoot and resolve application and data infrastructure incidents
</li></ul>Technical Planning, Consultation, and Collaboration &ndash; 25%
<ul><li>Partner with development teams to ensure data and database components and mechanisms meet all functional and non-functional requirements, including data modeling, data schema design, database design, query development and optimization, and similar tasks
</li><li>Participate in UW technology integration initiatives that involve ORIS supported systems
</li><li>Participate in organizational risk assessment activities, security planning, and vendor analysis to ensure solutions meet data and data infrastructure standards
</li><li>Build strong relationships, working with diverse technical and business partner groups, both internal and external to the University of Washington
</li><li>Effectively communicate and collaborate technical information with a wide range of people with varying levels of technical expertise
</li></ul>Administrative Duties &ndash; 10%
<ul><li>Attend recurring organization meetings and one-on-ones with a supervisor.
</li><li>Engage in unplanned communications
</li><li>Participate in recurring HR processes
</li></ul>Professional and Organizational Development &ndash; 5%
<ul><li>Maintain an awareness of industry, institutional, and organizational trends, best practices, and standard solutions
</li><li>Socialize key concepts, industry best practices, and organizational principles, strategies, and conventions related to data and database administration to both technical and non-technical staff via mentoring, meetings, hands-on learning, and documentation
</li><li>Become familiar with research administration in an R1 university setting in order to streamline its supporting business processes
</li></ul>Experience Required:
<ul><li>Bachelor&rsquo;s degree in Engineering, Computer Science, Math/Statistics, Business Administration, or equivalent experience.
</li><li>6 Years of experience in data engineering and database administration to include at least the following minimum professional experience:
<ul><li>6 years hands-on experience as an individual contributor on database implementation, maintenance, and operation in accordance with industry standards, data policies, and security best practices using SQL:
<ul><li>Data and data infrastructure implementation and optimization for application development and maintenance
</li><li>Microsoft SQL Server
</li><li>Indexing strategies
</li><li>DB performance and monitoring tools (such as SolarWinds, Datadog, RDS Performance Insights, and/or Redgate)
</li><li>Query profiling and optimization tools
</li><li>ETL tools (such as SQL Server Integration Services (SSIS), AWS Glue, Informatica, or Alteryx )
</li><li>Modeling tools (such as erwin or DbSchema)
</li><li>Secure data management practices
</li></ul></li><li>2 years&rsquo; experience configuring and managing databases in the AWS cloud environment including: RDS, EC2,
</li></ul></li><li>Demonstrated ability to communicate clearly and effectively in both oral and written mediums with individuals and groups in order to socialize information and knowledge with a diverse group of colleagues
</li><li>Demonstrated ease in technical and non-technical review as both reviewer and reviewee in order to facilitate collaborative group activities such as change control and pull request review
</li></ul>Experience Desired:
Experience with ...
<ul><li>AWS Services such as Glue, DMS, Quicksight, Redshift, data pipeline
</li><li>Performing security audits and reviews of databases and data systems
</li><li>REST API development and management platforms, such as MuleSoft or Boomi (Mulesoft preferred)
</li><li>Open-source database technologies: PostgreSQL, MySQL, MongoDB, Oracle, etc.
</li><li>Information Security standards and frameworks
</li><li>Working in a Scrum-Agile environment
</li><li>Workday suite of applications/modules
</li><li>Workday data model, security, integrations, and data load capabilities
</li></ul>Working Conditions:
This position:
<ul><li>Contributes in a collaborative teamwork environment
</li><li>Collaborates across diverse backgrounds, personalities, and disciplines in a shared space working environment through scheduled and ad hoc meetings focused on problem solving
</li><li>May be required to work in a hybrid environment, using remote and on-site workplaces
</li><li>While normally has a Monday-Friday day shift, will occasionally have responsibilities or emergent situations where work outside of standard business hours is required to ensure software deployments go smoothly, to respond to incidents, and/or to meet critical deadlines
</li><li>May be required to be on call
</li><li>Is an essential position and is required to report to work when needed when UW suspends operations
</li></ul>Compensation, Benefits and Position Details
Pay Range Minimum:
$117,600.00 annual
Pay Range Maximum:
$124,800.00 annual
Other Compensation:
<ul><li></li></ul>Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/
Shift:
First Shift (United States of America)
Temporary or Regular?
This is a temporary position
FTE (Full-Time Equivalent):
100.00%
Union/Bargaining Unit:
Not Applicable
About the UW
Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
Our Commitment
The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .</div>

Data Engineer/DBA (Temporary)

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon&rsquo;s Selling Partner Insights and Analytics (SPIA) organization is seeking an experienced Data Engineer (DE) who will be a key contributor in architecting and building data platforms that directly impact sellers experience on Amazon. If you are a self-starter, someone who thrives in a fast-paced and ever-changing environment, with an uncanny knack and passion for developing data intensive applications, then you are the right candidate for our team. Join us at the Central analytics Team of Amazon's Selling Partner (SP) Support Org and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, and big focus on AI/LLM, you will have the opportunity to make a meaningful impact on the way data is accessed across SPS. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce 
 
Key job responsibilities 
As a Data Engineer in the Selling Partner (SP) Support Organization, you will work in one of its most dynamic and challenging spaces. You will design, implement and support scalable data infrastructure solutions that integrate diverse data sources, aggregate and curate data for reporting, analysis and LLM models. Working with native AWS technologies, you will create pragmatic solutions while maintaining appropriate complexity levels.
 
 
Your role requires excellent business and communication skills to collaborate effectively with business owners and technical leaders. You will gather infrastructure requirements, design data architecture, and build data pipelines and datasets to meet business needs. Additionally, you will be responsible for creating coherent logical data models that drive physical design.
 
 
In this role, you will focus on designing scalable architectures for robust applications and pipelines. You will need to make appropriate trade-offs, reuse where possible, and be judicious about introducing dependencies. Staying current with emerging technologies and implementing them where appropriate will be essential for success in this role.
 
 
A day in the life 
A day in the life of Data Engineer is equally interesting and challenging. The interesting part is learning about business, ever expanding databases and codebases, internal tech stack for builders, AWS and many more. The challenging part of a data engineer's life is to apply these learnings in building robust and reliable data applications. A DE will be involved in driving both business and technical related discussions and making several key decisions contributing to the success of Selling Partner Operations and Business teams. 
 
About the team 
Selling Partner Insights and Analytics team's (SPIA) vision is to provide data and insights to accelerate stakeholder&rsquo;s data-driven decisions. Our mission is to make it easier and faster for our internal customers to use analytics to shorten the path from data to insights. The business intelligence world is experiencing a fundamental shift from traditional reporting to predictive and prescriptive analytics. For SPIA, this means building a foundation that can support both current needs and future innovations.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>2+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)</li><li>Experience with one or more scripting language (e.g., Python, KornShell)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with big data technologies such as: Hadoop, Hive, Spark, EMR</li><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design</li><li>Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations</li><li>Knowledge of distributed systems as it pertains to data storage and computing</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 - 101,300.00 - 160,000.00 USD annually</div>

Data Engineer, Selling Partner Insights and Analytics

YO IT Consulting

<div>
 
 Job Title:
 
 AI/ML Engineer
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
 </li>
 <li>
 Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
 </li>
 <li>
 Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
 </li>
 <li>
 Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
 </li>
 <li>
 Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
 </li>
 <li>
 Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
 </li>
 <li>
 Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
 </li>
 <li>
 Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
 </li>
 <li>
 Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
 </li>
 <li>
 Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
 </li>
 <li>
 Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
 </li>
 <li>
 Exceptional written and verbal communication skills for effective collaboration and documentation.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
 </li>
 <li>
 Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
 </li>
 <li>
 Prior exposure to government or highly regulated cloud environments and compliance standards.
 </li>
 </ul>
</div>

Artificial Intelligence Engineer – Remote

Data Engineer, Product Analytics

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Lead Data Engineer, Customer Data Graphs
Office hybrid in Seattle or Chicago
As a Data Engineer at Salesforce within the Data &amp; Analytics organization, you will collaborate with cross-functional teams to create and manage robust data solutions that support our analytics and business intelligence initiatives, building scalable and efficient data pipelines, optimizing data workflows, and ensuring data quality and reliability. You will work in a dynamic organization that engineers rigorous data pipelines that support customer data graphs, analytics, AI/ML models and systems, and more.
<h3 class="jobSectionHeader">What You&rsquo;ll Do
</h3><ul><li>Data Architecture for Agentic Systems: Design and implement specialized data structures that support the use of customer data graphs, which power agentic context and memory.
</li><li>Scalable Pipeline Engineering: Lead the development of robust ETL/ELT frameworks using Python and SQL. You will build highly decoupled, modular pipelines that can handle petabyte-scale data while maintaining strict data quality and lineage.
</li><li>High-Performance Data for AI: Build customer identity graphs that serve data to applications and AI with sub-second performance.
</li><li>Technical Mentorship : Act as a technical pillar for a specialized team of data and AI engineers, fostering technical excellence and elevating the overall skill set of the organization.
</li><li>Strategic Technical Roadmap : In partnership with product managers and engineering leaders, aligning graph strategy and architecture with our broader Data360 and graph database efforts.
</li><li>Operational Excellence : Establish and enforce rigorous technical standards for data quality, and latency to ensure agents provide reliable, real-time insights.
</li><li>AI Integration &amp; Automation : Lead high-impact efforts to automate the data delivery pipeline, ensuring seamless integration between internal databases, third-party APIs, and the AI orchestration layer. 
 
</li></ul>Qualifications:
<ul><li>8+ years of experience as a Data Engineer or in a similar role.
</li><li>A related technical degree required.
</li><li>Proficiency in data engineering tools and languages, such as Python, SQL, and Spark.
</li><li>Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc.
</li><li>Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
</li><li>Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques.
</li><li>Experience with the Salesforce Ecosystem, specifically Data Cloud.
</li><li>Problem-solving skills to troubleshoot and resolve data-related issues.
</li><li>Excellent communication skills and ability to collaborate in a cross-functional environment.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $172,500 - $260,100 annually. &amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Lead Data Engineer, Customer Data Graphs

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help. 
 
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. 
 
Are you interested in developing solutions that have big impact? Are you someone who likes to challenge the status quo and work on developing innovative product solutions? If you are a mechanical engineer and looking for an exciting career in cloud infrastructure, come join a team that constantly seeks ways to build things better &amp; faster for our customers. 
 
AWS is looking for a Sr. Mechanical Engineer to become part of a global data center engineering team, responsible for the design and continuous innovation within our rapidly expanding data center footprint. This position can be based out of Seattle, Washington or Herndon, Virginia. 
 
Our Senior Mechanical Engineers take full ownership to design resilient, cost effective mechanical systems. As engineers at Amazon, we are responsible for achieving a world class uptime for our customers. We drive continuous advancements and improvements with our designs, and communicate technical direction to Sr. Management. We seek new ways to enhance the reliability, scalability, and cost effectiveness of our engineering designs. As an engineer at Amazon, you have the ability to drive change and make a substantial impact in the systems our customers rely on. 
 
At Amazon, team work is absolutely necessary for us to accomplish our goals. We work within a team and depend on others to accomplish the required work. As a mechanical engineer at Amazon you will be working with other internal groups as well as external groups including manufacturers, vendors, and contractors. 
 
If you are a creative, smart and driven individual that enjoys working with complex problems we want you! At Amazon, you will be responsible for working on multi-million-dollar designs and supporting our wide variety of customers. Great ideas are encouraged and supported. Ingenuity is the main mechanism which supports our focus on quality, speed, and cost. 
 
Key job responsibilities 
<ul><li>Work in a cross-disciplinary setting with ability to influence and drive others.</li><li>Advises peer engineers and management team.</li><li>Deep-dive and perform root cause analysis.</li><li>Make technical trade-offs between short-term project goals and long-term business needs.</li><li>Develop integrated systems extending the life of data center infrastructure products.</li><li>Simplify, optimize and lower costs of data center mechanical and associated sub components.</li><li>Collaborate with internal and external ecosystem partners to design and develop new data center product solutions.</li><li>Support field engineering and data center operation teams for performing root cause analysis and implementation of corrective actions.</li><li>Leverage economy of scale through standardization and modularization of data center products.</li><li>Provide technical subject matter expertise to peers, senior management and partner teams.</li><li>Develop business justification and narratives to promote new concepts and ideas.</li><li>Lead key initiatives for the organization while demonstrating complete ownership.</li><li>Work with global suppliers and manufacturers to specify appropriate mechanical and associated sub components.</li><li>Provide product design support to other team members.</li><li>Writing functional specifications, design verification plans, and functional test procedures.</li><li>Ability and willingness to travel domestic and internationally for up to 25% of the year.</li></ul> 
About the team 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience</li><li>Bachelor's degree in Engineering or a related field</li><li>Experience researching new designs, technologies, and construction methods of data center equipment and facilities</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Professional Engineering or Architectural License</li><li>Knowledge of building codes and regulations for your region</li><li>Experience carrying design concepts through exploration, development, and into deployment or mass production</li><li>Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents</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, VA, Herndon - 136,600.00 - 184,800.00 USD annually 
USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually</div>

Senior Mech Product Design Engineer, Data Center Eng, Mechanical Products and Services

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