data analytics engineer - apple services engineering

delivery platform software engineer 1 - developer tools team (hybrid - seattle, wa)

flight test engineer - contractor/consultant

data engineer

data analytics engineer - apple services engineering Jobs in Seattle

delivery platform software engineer 1 - developer tools team (hybrid - seattle, wa) Jobs in Seattle

designer - workplace - senior Jobs in Seattle

designer - workplace - senior

flight test engineer - contractor/consultant Jobs in Seattle

senior software engineer backend airports

Uber

<div><b>About the Role</b>
<br>
<br>
The Uber Airports team manages the largest segment within Uber's rides business. Our mission is to help Airport travelers understand what to expect, when to request a ride, where to go, and how to find their driver, no matter where they land in the world.<br>
<br>
We specialize in optimizing Uber products for Airport scenarios, developing software solutions that cater to the needs of Uber Riders, Drivers, and Airport operators. If you're interested in working on something impactful and used by millions of people, consider joining our team!<br>
- What you will do -<br>
<ul><li>
Work closely with stakeholders to understand business requirements and build cross-functional solutions.</li><li>
Dive deep into multiple tech stacks across the company to create scalable micro-services and implement efficient algorithms.</li><li>
Track the success of your feature experiments, collaborating with Data Science and Product teams to iterate on delightful user experiences.</li><li>
Coach and mentor junior engineers or new engineers joining the team. Provide technical leadership to your team.</li></ul><br>
- Basic Qualifications -<br>
<ul><li>
5+ years of experience in backend software systems.</li><li>
Proficient in one or more object oriented programming languages (e.g. Golang, Java, C#).
</li><li>Proficient in writing unit tests and integration tests.
</li></ul>- Preferred Qualifications -<br>
<ul><li>
BS/MS/PhD in Computer Science or a related field.</li><li>
Experience with distributed systems or microservice architectures.</li><li>
Experience with relational databases and distributed storage systems (MySQL, Cassandra).</li><li>
Good written, verbal communication skills.</li><li>
Strong collaboration skills</li><li>
Passion for learning new technologies</li><li>
Experience with shipping efficient, reliable, crash-free code that reaches millions of users.</li></ul><br>
For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Senior Software Engineer (Backend), Airports

Apple

<div>People at Apple don't just build products - they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it.<br>
<br>
The Analytics Platforms &amp; Experiences (APX) team is at the forefront of revolutionising Data Engineering. We drive significant increases in efficiency and productivity through a flawless ecosystem of frameworks and products that unlock observability, knowledge and enable data quality-driven orchestration at scale. APX is part of the broader Apple Services Engineering division that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store and more.<br>
<br>
The APX Bedrock team is the foundational platform layer within APX, responsible for building the systems and services that underpin data engineering excellence across the organization. We are seeking a Senior Software Data Engineer who brings deep technical expertise and the strategic thinking to shape the future of our data engineering platform. In this role, you will influence the broader technical vision, drive platform-wide architectural decisions, and establish patterns that raise the engineering bar across the organization. You will bridge hands-on engineering excellence with forward-looking platform thinking, working alongside architects and cross-functional teams to transform how data engineers work at Apple.<br>
<br>
<b>Description</b><br>
<br>
As a Senior Software Data Engineer on the APX Bedrock team, you will be a highly impactful technical contributor who combines deep engineering craftsmanship with platform-wide thinking. You will own critical platform components end-to-end while actively shaping the technical direction of the team and influencing the broader organization.<br>
<br>
<ul><li>Lead design and implementation of core platform services supporting data application authoring, metadata management, dataset lifecycle tracking, and orchestration at scale</li></ul><br>
<ul><li>Architect and build high-performance Java-based backend services and APIs that form the backbone of the data engineering platform</li></ul><br>
<ul><li>Own data modeling and database design decisions, establishing best practices for schema design, indexing strategies, and query optimization across relational and non-relational data stores</li></ul><br>
<ul><li>Design and operate scalable data processing pipelines using Apache Spark, Apache Flink, and modern orchestration frameworks</li></ul><br>
<ul><li>Proactively identify architectural gaps and drive initiatives that improve platform scalability, reliability, and developer experience</li></ul><br>
<ul><li>Define engineering standards and patterns adopted across the broader team and organization</li></ul><br>
<ul><li>Evaluate emerging technologies and contribute to strategic decisions that shape the platform roadmap</li></ul><br>
<ul><li>Mentor engineers across experience levels and drive a culture of technical excellence</li></ul><br>
<ul><li>Leverage AI-powered development tools and help define how AI-augmented workflows are adopted and scaled within the team</li></ul><br>
<b>
Preferred Qualifications</b><br>
<br>
Experience with non-relational or NoSQL databases and strong intuition for applying the right data storage paradigms<br>
<br>
Proficiency in Scala, Go, or Python as complementary programming languages<br>
<br>
Deep experience with container orchestration tools such as Kubernetes and cloud-native infrastructure patterns<br>
<br>
Hands-on experience with AI-powered development tools (e.g., Claude Code, Copilot) and building AI-augmented engineering workflows<br>
<br>
Experience architecting data quality monitoring, metadata management, or dataset lifecycle management systems at scale<br>
<br>
Strong background in streaming, real-time data processing, and event-driven architectures<br>
<br>
Track record of mentoring senior engineers and driving technical excellence across teams<br>
<br>
Strong communication skills with the ability to present complex technical strategies to senior leadership<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelor's or Master's Degree in Computer Science, Engineering, or equivalent professional experience<br>
<br>
8+ years of software engineering experience with significant focus on data platform or large-scale distributed systems<br>
<br>
Expert-level Java programming with a strong track record of architecting and delivering complex, production-grade backend services<br>
<br>
Deep experience with relational databases including advanced data modeling, schema design, and query optimization at scale<br>
<br>
Expert-level experience with Apache Spark and Apache Flink, and distributed data technologies including Hadoop, HDFS, and Kafka<br>
<br>
Extensive experience designing and operating workflow orchestration systems such as Apache Airflow at enterprise scale<br>
<br>
Proven ability to drive end-to-end technical ownership of complex platform initiatives and influence technical direction beyond immediate team scope<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Senior Software Data Engineer

Persistent Systems

<div><div><div><p><b>Job Description
</b></p></div><div><div><div><p><b>
About Persistent</b></p><br>
<p></p>
<p>We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what&rsquo;s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.</p><br>
<p></p>
<p>Our disruptor&rsquo;s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 23 sequential quarters of growth with $422.5M in Q3 FY26 revenue, up 4.0% Q-o-Q and 17.3% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence&trade; Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PEAK Matrix&reg; Assessment 2025.</p><br>
<p></p>
<p><b>About Position:</b></p><br>
<p></p>
<p></p><p>We are seeking an experienced Data Engineer to join our team in Seattle, Washington. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and backend data solutions that support analytics, reporting, and business operations. You will work with modern Azure cloud technologies&mdash;including Azure Data Factory, Databricks, and Azure SQL Server&mdash;to implement robust ETL/ELT workflows and data models. This position requires strong backend development experience, excellent problem‑solving skills, and the ability to collaborate effectively with cross‑functional teams in an agile environment.</p><br>
<p></p>
<ul><li><b>Role: Data Engineer</b></li>
<li><b>Job Location: </b><b>Seattle, Washington, United States</b></li>
<li><b>Experience: 5+ Years</b></li>
<li><b>Job Type: Full Time Employment</b></li></ul><br>
<p>
</p><p><b>What You'll Do:</b></p><br>
<p></p>
<p></p><ul><li>Design, develop, and maintain scalable data pipelines and backend data solutions using Python and Azure cloud services.</li>
<li>Build and optimize ETL/ELT workflows using Azure Data Factory and Azure Databricks.</li>
<li>Develop and maintain data models, warehouse structures, and integration layers to support analytics and business intelligence.</li>
<li>Work with Azure SQL Server and related cloud data services to create efficient, secure, and reliable data storage solutions.</li>
<li>Collaborate closely with data analysts, architects, and business teams to understand data requirements and deliver high‑quality solutions.</li>
<li>Implement best practices in code quality, performance optimization, and DevOps automation.</li>
<li>Troubleshoot and resolve complex data processing issues, ensuring reliability and accuracy across the data ecosystem.</li>
<li>Participate in Agile ceremonies and contribute to continuous improvement within the engineering team.</li></ul><br>
<p>
</p><p><b>Expertise You'll Bring:</b></p><br>
<p></p>
<ul><li>5+ years of experience in backend and database development within the IT industry.</li>
<li>Strong hands-on expertise in data engineering, with deep technical skills in Python, Azure Data Factory, Azure Databricks, and Azure SQL Server.</li>
<li>Solid understanding of data modeling, data warehousing concepts, and ETL/ELT pipeline development.</li>
<li>Working knowledge or exposure to Azure Synapse Analytics (added advantage).</li>
<li>Experience working within Agile delivery models and familiarity with DevOps practices, CI/CD, and automation.</li>
<li>Strong analytical and problem‑solving abilities with the capability to design, implement, and optimize complex data-processing solutions.</li>
<li>Ability to collaborate effectively with cross-functional teams, ensuring smooth communication and alignment across engineering, analytics, and business teams.</li>
<li>Good written and verbal communication skills, with a proactive and solution-oriented approach.</li></ul><br>
<p>
</p><p><b>Benefits:</b></p><br>
<p></p>
<ul><li>Competitive salary and benefits package</li>
<li>Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications</li>
<li>Opportunity to work with cutting-edge technologies</li>
<li>Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards</li>
<li>Annual health check-ups</li>
<li>Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents</li></ul><br>
<p>
</p><p><b>Values-Driven, People-Centric &amp; Inclusive Work Environment:</b></p><br>
<p></p>
<p>Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.</p><br>
<p></p>
<ul><li>We support hybrid work and flexible hours to fit diverse lifestyles.</li>
<li>Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.</li>
<li>If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment</li></ul><br>
<p>
</p><p><b>Let&rsquo;s unleash your full potential at Persistent - </b><b>persistent.com/careers</b></p><br>
<p></p>
<p><b><i>&ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;</i></b></p>
</div></div></div></div><div></div><div><div><div><p><b>1</b></p></div><div><div>
Open Positions
</div></div></div></div><div><div><div><p><b>Database,Cloud - Microsoft Azure DevOps</b></p></div><div><div>
Skills Required
</div></div></div></div><div><div><div><p><b>Seattle, WA, USA</b></p></div><div><div>
Location
</div></div></div></div><div><div><div><p><b>Database,Cloud - Microsoft Azure DevOps,Other,Azure,Azure DevOps</b></p></div><div><div>
Desirable Skills
</div></div></div></div><div><div><div><p><b>5 to 10 years</b></p></div><div><div>
Years Of Exp
</div></div></div></div><div><div><div><p><b>163571</b></p></div><div><div>
Job Code</div></div></div></div></div><p></p>

Data Engineer

Realign

<div>Seattle, Washington 98039 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Job Title:</b> PSA Engineer - Network Transmission <b>(Energy Domain)</b><br>
<b>Location &ndash; </b>Seattle, WA / Melbourne, FL<br>
<b>Contract</b></p><div><b>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div>
5+ years of work experience in customizing and delivering Energy Management Systems preferbly e-terrra AEMS - Reliance</div><div>
5 + years of experience with C++, Java or other related language.</div><div>
5+ years of experience with GE&rsquo;s AEMS Reliance source design and development.</div><div>
5+ years of experience with electric utility industry practices.</div><div>
5 years of experience with LINUX and Windows Operating Systems</div><div>
5 years of experience with C, Java &amp; Oracle Database</div><div>
SQL, shell scripting, ability to read and interpret logs &amp; debug files</div><div>
Installation of Operating system patches and other 3rd Party Software such as Oracle, NetApp etc.</div><div>
System configuration and Hands on Experience in GitHub and ClearCase</div><div>
5 years experience on Realtime or Mission Critical Systems</div><div>
Must have experience in picking up and installing fixes on live customer systems</div><div>
Proven track record of problem analysis, identification and resolution</div><div>
Strong troubleshooting &amp; debugging skills</div><div>
Good communication skills (verbal and written)</div><div>
MS office applications (Word, PowerPoint, Excel) and MS Outlook competency</div><div>
Reliance (Formerly known as XA/21) experience</div><div>
Object-Oriented programming techniques, Oracle, and/or system administration, is a plus</div><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div>
Responsible for advanced Power Systems Application software development and successful delivery of assigned functions to meet corporate project/product commitments. The responsibilities include: working with Electric Utilities or ISOs (Independent System Operators) and Transmission System Operators (TSOs) on functional software specifications, designing, coding, testing, integration, application tuning and delivery</div><div></div><div><b><br>
Generic Managerial Skills</b></div><div>
Ensure customers&rsquo; success by fostering a balanced relationship that benefits both GE and the customer</div><div>
with the goal of producing the highest level of customer support and satisfaction. In this role, you will:</div><div>
Take a leadership role in strategizing with internal staff and customers to solve and prevent re-occurrence of issues.</div><div>
Engage with customers on day to day issues; organize customer calls to facilitate implementation of solutions while adhering to change control, compliance protocols. Ensure solution does solve the customer&rsquo;s issue.</div><div>
Mentors staff in troubleshooting and analysis methods</div><p></p>
<p>Required Skills</p>
<p>CLOUD SECURITY ENGINEER</p> <p>DEVOPS ENGINEER</p> <p>DEVOPS SECURITY ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

PSA Engineer / Network Transmission (Energy Domain)-6

University Of Washington

<div><p><b>Job Description
</b></p><p></p><p>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.
</p><p></p><p>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.
</p><p></p><p>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.
</p><p>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.
</p><p></p><p>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;
</p><p></p><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><p></p><p>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.
</p><p></p><p><b>Responsibilities:
</b></p><p>Operations and Administration &ndash; 60%
</p><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><p></p><p>Technical Planning, Consultation, and Collaboration &ndash; 25%
</p><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><p></p><p>Administrative Duties &ndash; 10%
</p><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><p></p><p>Professional and Organizational Development &ndash; 5%
</p><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><p></p><p><b>Experience Required:
</b></p><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><p></p><p>Experience Desired:
</p><p>Experience with ...
</p><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><p></p><p><b>Working Conditions:
</b></p><p>This position:
</p><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><p></p><p><b>Compensation, Benefits and Position Details
</b></p><p></p><p><b>Pay Range Minimum:
</b></p>$117,600.00 annual
<p><b>Pay Range Maximum:
</b></p>$124,800.00 annual
<p><b>Other Compensation:
</b></p><ul><li></li></ul><p><b>Benefits:
</b></p>For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/
<p><b>Shift:
</b></p>First Shift (United States of America)
<p><b>Temporary or Regular?
</b></p>This is a temporary position
<p><b>FTE (Full-Time Equivalent):
</b></p>100.00%
<p><b>Union/Bargaining Unit:
</b></p>Not Applicable
<p></p><p><b>About the UW
</b></p><p></p><p>Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
</p><p></p><p>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.
</p><p></p><p><b>Our Commitment
</b></p><p></p><p>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 .
</p><p></p><p>To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
</p><p></p><p>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 .</p></div>

Data Engineer/DBA (Temporary)

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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.<br>
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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.<br>
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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.<br>
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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.<br>
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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.<br>
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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.<br>
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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.<br>
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Key job responsibilities<br>
<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><br>
About the team<br>
Diverse Experiences<br>
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.
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Why AWS?<br>
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.<br>
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Inclusive Team Culture<br>
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.<br>
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Mentorship &amp; Career Growth<br>
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.
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Work/Life Balance<br>
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"><b>BASIC QUALIFICATIONS</b></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"><b>
PREFERRED QUALIFICATIONS</b></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><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>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually<br>
USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually</div><p></p>

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

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company&rsquo;s Think Big leadership principle to the limits. If you&rsquo;re interested in innovating at scale to address big challenges in the world, this is the team for you.<br>
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As a Senior Machine Learning Engineer on our team, you will leverage your deep technical expertise to build reliable, scalable, and highly performant AI systems. You will drive technical strategy and collaborate closely with Applied Scientists on modeling experiments and prototypes, translating concepts into production-ready solutions. We&rsquo;re looking for someone who wants to can make a positive impact on humanity, has a track record of innovating and building successfully, and loves solving hard problems!<br>
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Key job responsibilities<br>
The ideal candidate for this role has a demonstrable track record of delivering successfully in a hyper-growth ML/AI environment by leveraging their deep technical expertise and adapting deftly to rapidly evolving priorities.<br>
In this role, you will:<br>
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<ul><li>Spearhead large scale technical initiatives and make critical architectural decisions</li><li>Identify and resolve complex technical challenges, often in ambiguous problem spaces</li><li>Design and implement scalable data processing pipelines and infrastructure to support ML model training workflows</li><li>Develop tools for data preprocessing, feature engineering, and efficient resource utilization for large-scale AI training jobs</li><li>Create monitoring systems, debugging tools, and performance optimization solutions for ML infrastructure</li><li>Collaborate to integrate ML frameworks with production systems and implement version control for both code and model artifacts</li><li>Mentor and guide MLEs and SDEs, fostering their growth and the overall team&rsquo;s capabilities</li></ul><br>
A day in the life<br>
Our main data consumers and producers are science teams. You will work closely with scientists from various domains to clarify requirements, design new systems, upgrade existing services and provide operational support to mitigate issues. You work will largely comprise of working with data services and pipelines.<br>
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About the team<br>
We represent Amazon's ambitious vision to solve the world's most pressing challenges. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity. Our team is for engineers who enjoy teamwork, cross-functional collaboration and building new things. You need to be a fast learner able to independently disambiguate requirements and deliver value to customers. We are offering fast-pace, Agile environment with little bureaucracy and small operational load.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Sr. Machine Learning Engineer, Special Projects

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