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data engineer product analytics

Data Engineer, Product Analytics

Whatnot

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 
 
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 
 
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
 
 
 As our newest
 
 Data Engineer
 
 , you&rsquo;ll build and scale the systems that power data-driven decisions across the company. You&rsquo;ll work directly with stakeholders across the business &ndash; such as product, sales, marketing, finance, and trust teams &ndash; to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot&rsquo;s internal and external growth.
 
 
 
 On Any Given Day, You Will
 
 
 
 <ul>
 <li>
 Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
 </li>
 <li>
 Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains&mdash;user activity, transactions, experimentation, marketing performance, and operational telemetry&mdash;with tight guarantees for latency, completeness, and accuracy.
 </li>
 <li>
 Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
 </li>
 <li>
 Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
 </li>
 <li>
 Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
 </li>
 <li>
 Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.
 
 
 </li>
 </ul>
 Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams.
 
 
 
 👋 You
 
 
 
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 
 
 <ul>
 <li>
 Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
 </li>
 <li>
 Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
 </li>
 <li>
 Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
 </li>
 <li>
 Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
 </li>
 <li>
 Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
 </li>
 <li>
 Enjoy partnering across disciplines&mdash;engineering, product, analytics&mdash;to translate messy business requirements into elegant data systems.
 </li>
 <li>
 Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.
 
 
 </li>
 </ul>
 If designing the data backbone that powers Whatnot&rsquo;s growth, insights, and product innovation excites you, we&rsquo;d love to meet you.
 
 
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 💰Compensation
 
 
 
 
 For Full-Time (Salary)
 
 
 
 
 US based applicants:
 
 $180,000/year to $260,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Generous Holiday and Time off Policy
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
 <li>
 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $180K - $260K
 
 
</div>

Data Engineer

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

Persistent Systems

<div><div><div>Job Description
</div><div><div><div>
About Persistent 

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. 

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. 

About Position: 

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. 

<ul><li>Role: Data Engineer</li>
<li>Job Location: Seattle, Washington, United States</li>
<li>Experience: 5+ Years</li>
<li>Job Type: Full Time Employment</li></ul> 

What You'll Do: 

<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> 

Expertise You'll Bring: 

<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> 

Benefits: 

<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> 

Values-Driven, People-Centric &amp; Inclusive Work Environment: 

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. 

<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> 

Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers 

&ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
</div></div></div></div><div></div><div><div><div>1</div><div><div>
Open Positions
</div></div></div></div><div><div><div>Database,Cloud - Microsoft Azure DevOps</div><div><div>
Skills Required
</div></div></div></div><div><div><div>Seattle, WA, USA</div><div><div>
Location
</div></div></div></div><div><div><div>Database,Cloud - Microsoft Azure DevOps,Other,Azure,Azure DevOps</div><div><div>
Desirable Skills
</div></div></div></div><div><div><div>5 to 10 years</div><div><div>
Years Of Exp
</div></div></div></div><div><div><div>163571</div><div><div>
Job Code</div></div></div></div></div>

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)

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We are looking for an experienced Sr. Affiliate Marketing Manager to join our Amazon Music team and help driving WW customer acquisition. You will define, execute, and measure Affiliate marketing from strategy to execution to drive scalable growth for the business. This marketing leader will be passionate about measuring ROI, as well as a thinking big to develop capabilities to optimize. This person will build highly impactful acquisition campaigns and test into white space opportunities. An entrepreneurial spirit, a creative mindset for pushing boundaries, and the ability to work effectively with a large number of partners and international stakeholders are some of the key skills we are looking for. 
 
Key job responsibilities 
<ul><li>Take a leadership role in the planning, management, and execution of all Amazon Music SEM campaigns, including but not limited to account setup, development and implementation of strategies, campaign structure, budget management, daily bidding and invoice management</li><li>Mentor team members to achieve targeted performance KPIs (CAC, conversion) including optimizations and campaign troubleshooting</li><li>Closely manage project plans, new build launch dates, and delivery timelines to support seasonal drops and initiatives</li><li>Manage relationship with bid management software provider and other partners to optimize campaigns and help inform their product roadmap based on needs, including rolling out new enhancements</li><li>Partner closely with cross-functional teams such as Marketing Analytics, Product, Finance, Engineering, and Growth to drive best practices, identify testing opportunities and develop roadmaps</li><li>Execute campaign optimization tactics (bidding, ad copy and landing page testing) to achieve spend efficiency and volume targets. Partner with local teams to define the test roadmap.</li><li>Audit and update existing data pipelines in collaboration with the Business Intelligence and Tech teams to ensure the highest level of data quality.</li><li>Launch new campaigns to support new product features (e.g. Podcast, Amazon Originals, Live Streams etc.)</li><li>Develop the strategy for channel growth in emerging markets.</li><li>Derive critical insights from data (front-end performance metrics from search engine vendors and back-end Amazon actions) and synthesize recommendations to deliver improvements to campaign performance.</li><li>Develop new strategies to drive increased acquisition through Amazon Music Unlimited, Amazon Music Prime and Amazon Music Free.</li><li>Partner with strategic cross-functional teams to support GTM plans for upcoming product launches</li><li>Develop and execute the affiliate marketing strategy to acquire new Amazon Music subscribers and users through partnerships</li><li>Identify, recruit, and onboard high-performing affiliate partners that align with the Amazon Music brand and customer base</li><li>Negotiate and manage affiliate program terms, commission structures, and campaigns with partners</li><li>Monitor affiliate program performance and optimize campaigns to maximize subscriber/user acquisition and revenue</li><li>Create compelling affiliate marketing assets, promotional materials, and toolkits to enable partners to effectively promote Amazon Music</li><li>Collaborate cross-functionally with the Amazon Music marketing, content, and product teams to integrate affiliate campaigns</li><li>Analyze affiliate program data to identify trends, insights, and opportunities for growth</li><li>Stay up-to-date on affiliate marketing best practices, tools, and industry developments</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>6+ years of professional non-internship marketing experience</li><li>Experience using data and metrics to drive improvements</li><li>Experience building, executing and scaling cross-functional marketing programs</li><li>6+ years of experience in affiliate marketing, partnership marketing, paid marketing or a related field.</li><li>Experience in advanced fraud detection mechanisms and tools</li><li>Experience with modern BI tools like Tableau, Google Analytics, Adobe Analytics, Amazon Quick Sight, or similar</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>8+ years in Affiliate Marketing managing acquisition marketing campaigns with an international scope for a direct-to-consumer subscription service or in the media &amp; entertainment industry.</li><li>Demonstrated high level leadership and communication (written and verbal) skills to drive recommendations. Ability to articulate tradeoffs, explain complex issues and communicate plans to senior executives</li><li>Ability to use data and metrics to back up assumptions, drive rationale, discover root causes and identify opportunities.</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. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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, CA, Culver City - 125,400.00 - 169,600.00 USD annually 
USA, WA, Seattle - 125,400.00 - 169,600.00 USD annually</div>

Sr. Affiliate Marketing Manager , Amazon Music

PitchBook

<div><div>At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.</div>
About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

Principal Product Managers at PitchBook are strategists and leaders. In this role, you will be a catalyst for AI-powered innovation at PitchBook &ndash; partnering across teams to help shape the future of how we harness artificial intelligence. You'll collaborate with cross-functional teams, including engineering, design, and data science, to execute a product roadmap that drives measurable outcomes. You will champion client needs, advocate for innovative solutions, and identify new opportunities to elevate PitchBook's capabilities. Additionally, you'll play a pivotal role in mentoring team members within the Product organization, fostering a culture of growth and excellence.

The Product Management team within PitchBook's Product organization works to strategically align PitchBook's product initiatives with core customer needs and ruthlessly prioritize development efforts to drive both increased user engagement and increased win rates vs competitors.

Primary Job Responsibilities:
<ul>
<li>Define the AI product vision, strategy, and roadmap to increase adoption and engagement of PitchBook products among users</li>
<li>Identify opportunities for product innovation and differentiation by working backwards from the customer journey</li>
<li>Manage the product lifecycle from ideation to launch to end-of-life</li>
<li>Collaborate with design, engineering, data science, and adjacent product teams</li>
<li>Actively define product roadmap prioritization and create business cases for new opportunities</li>
<li>Define and own measurable business and customer outcomes for your product area; set success metrics, monitor performance, and ensure product work drives demonstrable impact</li>
<li>Collaborate with engineering to understand system architecture and dependencies; evaluate technical feasibility and make informed trade-offs between complexity, scalability, and timeline</li>
<li>Partner with design to evaluate solutions against UX principles, identify experience gaps, and advocate for intuitive, accessible product experiences</li>
<li>Establish and maintain structured customer feedback loops, synthesizing insights from user interviews, support tickets, customer success, and analytics to ensure real customer needs drive product decisions</li>
<li>Support the vision and values of the company through role modeling and encouraging desired behaviors</li>
<li>Participate in various company initiatives and projects as requested</li>
</ul>
Skills and Qualifications:
<ul>
<li>Bachelor's degree in Computer Science, Finance, or related field. Post graduate degrees or certifications are preferred</li>
<li>8+ years of experience as product manager or position with similar impact
</li><li>8+ years customer driven product management experience creating product strategy, roadmaps, aligning stakeholders, and setting product vision</li>
<li>Experience influencing senior and executive leadership through data-driven insights</li>
<li>Experience in data products, analytics platforms, or B2B SaaS at scale. CFA, CAIA or Financial industry experience is preferred</li>
<li>Ability to communicate complex ideas with clarity and conviction; crafts compelling narratives tailored to diverse audiences, from engineers to executives</li>
<li>Proven ability to collaborate with clients and cross-functional teams to drive user-centric product innovation</li>
<li>Self-directed: sets and meets deadlines, multi-tasks, and prioritizes in a fast-paced environment</li>
<li>Strong bias for action and a proactive mindset toward problem-solving</li>
<li>Track record of mentoring product managers and contributing to team growth and PM craft</li>
<li>Ability to leverage tools (SQL, Tableau, financial modeling tools, MixPanel, FullStory) to analyze data and drive informed product decisions</li>
<li>Solid understanding of the convergence of private and public markets and a passion for staying ahead of industry trends</li>
<li>Familiarity with system architecture concepts, data pipelines, and the ability to partner effectively with engineering on technical trade-offs</li>
<li>Must be authorized to work in the United States without the need for visa sponsorship now or in the future</li>
</ul>
Benefits + Compensation at PitchBook:

Physical Health
<ul>
<li>Comprehensive health benefits</li>
<li>Additional medical wellness incentives</li>
<li>STD, LTD, AD&amp;D, and life insurance</li>
</ul>
Emotional Health
<ul>
<li>Paid sabbatical program after four years</li>
<li>Paid family and paternity leave</li>
<li>Annual educational stipend</li>
<li>Ability to apply for tuition reimbursement</li>
<li>CFA exam stipend</li>
<li>Robust training programs on industry and soft skills</li>
<li>Employee assistance program</li>
<li>Generous allotment of vacation days, sick days, and volunteer days</li>
</ul>
Social Health
<ul>
<li>Matching gifts program</li>
<li>Employee resource groups</li>
<li>Subsidized emergency childcare</li>
<li>Dependent Care FSA</li>
<li>Company-wide events</li>
<li>Employee referral bonus program</li>
<li>Quarterly team building events</li>
</ul>
Financial Health
<ul>
<li>401k match</li>
<li>Shared ownership employee stock program</li>
<li>Monthly transportation stipend</li>
</ul>
<ul><li>Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.</li></ul>

Compensation
<ul>
<li>Annual base salary: $175,076-$237,475</li>
<li>Target annual bonus percentage: 15%</li>
</ul>
Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments&mdash;those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices&mdash;that simply can't be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-MS1 
#LI-Onsite</div>

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Sr. Affiliate Marketing Manager , Amazon Music

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