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data analytics engineer - apple services engineering Jobs in Seattle

data pipeline engineer

Salesforce

<div><p><i>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.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>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.
</p><p></p><p>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.
</p><p></p><p><b>Lead Data Engineer, Customer Data Graphs
</b></p><p><b>Office hybrid in Seattle or Chicago
</b></p><p></p><p>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.
</p><p></p><h3 class="jobSectionHeader"><b>What You&rsquo;ll Do
</b></h3><ul><li><p>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.
</p></li><li><p>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.
</p></li><li><p>High-Performance Data for AI: Build customer identity graphs that serve data to applications and AI with sub-second performance.
</p></li><li><p>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.
</p></li><li><p>Strategic Technical Roadmap : In partnership with product managers and engineering leaders, aligning graph strategy and architecture with our broader Data360 and graph database efforts.
</p></li><li><p>Operational Excellence : Establish and enforce rigorous technical standards for data quality, and latency to ensure agents provide reliable, real-time insights.
</p></li><li><p>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.<br>
<br>
</p></li></ul><p></p><p><b>Qualifications:
</b></p><ul><li><p>8+ years of experience as a Data Engineer or in a similar role.
</p></li><li><p>A related technical degree required.
</p></li><li><p>Proficiency in data engineering tools and languages, such as Python, SQL, and Spark.
</p></li><li><p>Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc.
</p></li><li><p>Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
</p></li><li><p>Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques.
</p></li><li><p>Experience with the Salesforce Ecosystem, specifically Data Cloud.
</p></li><li><p>Problem-solving skills to troubleshoot and resolve data-related issues.
</p></li><li><p>Excellent communication skills and ability to collaborate in a cross-functional environment.
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>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 <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. 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.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>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.
</p><p></p><p>Posting Statement
</p><p>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.
</p><p></p>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.
<p></p>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><p></p>

Lead Data Engineer, Customer Data Graphs

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

Headspace

<div><p><b>About the </b><b>Senior Data Engineer</b><b> at Headspace:</b></p>
<p><i>
As a Senior Data Engineer at Headspace, you will help build the modern data platform that powers personalized, ethical, and scalable mental health support for millions of members. In this role, you will design and implement robust data pipelines, partner closely with analytics, data science, and engineering teams, and help create a secure, compliant, and privacy-focused data foundation. This is an opportunity to do high-impact work at the intersection of data, innovation, and mission&mdash;enabling smarter decisions, better member experiences, and the future of personalized mental health care.
</i></p><p><b>What you will do:</b></p>
<ul>
<li>Contribute to architecture and implement robust data pipelines to ingest, aggregate, and index diverse data sources into the organization's data lake</li>
<li>Drive the creation of a secure, compliant, and privacy-focused data warehousing solution tailored to meet the healthcare industry's stringent requirements</li>
<li>Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting on key business metrics</li>
<li>Collaborate with the data science and machine learning teams to build tools and capabilities that foster rapid experimentation and innovation</li>
<li>Support peers and champion a culture that values data as a strategic asset across the organization</li>
</ul>
<p><b>What you will bring</b>:</p>
<p><b>
Required Skills:</b></p>
<ul>
<li>4+ years of proven success designing and implementing large-scale data systems</li>
<li>Strong understanding of core python, its tooling (pip, poetry, popular frameworks like pytest or pydantic)</li>
<li>Strong pyspark experience (dataframe API) and understanding of internal architecture and optimization techniques</li>
<li>Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake</li>
<li>Demonstrated expertise in architectural patterns for building high-volume ETL pipelines</li>
<li>Experience with data modelling, Medallion architecture, pipeline design, metrics calculation and technical documentation</li>
<li>Exceptional oral and written communication abilities, facilitating effective cross-functional collaboration</li>
<li>BA/BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience</li>
</ul>
<p><b>Preferred Skills:</b></p>
<ul>
<li>Experience in deployment and infrastructure management using Terraform is a plus</li>
<li>Prior experience implementing governance, privacy, and security frameworks across a data platform</li>
<li>Familiarity with the complexities of PII/PHI data, HIPAA, and biometrics data</li>
<li>Experience migrating or working with DBT for transformations, documentation, and lineage tracking</li>
<li>Experience in developing AI-ready architecture, such as creating semantic layers that standardize business logic for Agentic AI enablement</li>
</ul>
<p><b>Location: We are currently hiring this role in the US. Candidates must permanently reside in the US full-time and be based in these cities.</b></p><p><br>
For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You'll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model.</p><br>
<p><b>
Pay &amp; Benefits</b>:</p>
<p>
The anticipated new hire base salary range for this full-time position is <b>$122,400-$195,500</b> + equity + benefits.</p>
<p>
Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training.<br>
<i>Your recruiter will provide more details on the specific salary range for your location during the hiring process.</i></p>
<p>
At Headspace, base salary is but one component of our Total Rewards package. We're proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process.</p>
<p><b>
About Headspace</b></p>
<p>
Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that's effective, personalized, and truly accessible whenever and wherever they need it.</p>
<p>
At Headspace, our values aren't just what we believe, they're how we work, grow, and make an impact together. We live them daily: <b>Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage.</b> These values shape our decisions, guide our collaborations, and define our culture. They're our shared commitment to building a more connected, human-centered team&mdash;one that's redefining how mental health care supports people today and for generations to come.</p>
<p><b>
Why You'll Love Working Here:</b></p>
<ul>
<li>A mission that matters&mdash;with impact you can see and feel</li>
<li>A culture that's collaborative, inclusive, and grounded in our values</li>
<li>The chance to shape what mental health care looks like next</li>
<li>Competitive pay and benefits that support your whole self</li>
</ul>
<p><b>How we feel about Diversity, Equity, Inclusion and Belonging:</b></p>
<p>
Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse &amp; inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.</p>
<p>
As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.</p>
<ul><li><i>Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. </i><b><i>Please inform our Talent team by filling out </i></b><b><i>this form</i></b><b><i> if you need any assistance completing any forms or to otherwise participate in the application or interview process.</i></b></li></ul>
<p></p>
<p><i>Headspace participates in the </i><i>E-Verify Program</i><i>.</i></p>
<p><b><i>
Privacy Statement</i></b></p>
<p><i>
All member records are protected according to our</i><i> </i><i>Privacy Policy</i><i>. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship&mdash;including, for example, a managerial relationship.
</i></p><p><i>As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment.</i></p>
<p><i>
Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.</i></p>
<p>
For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice</p></div>

Senior Data Engineer

Purpose Brands

<div>Purpose Brands, the parent company of Orangetheory, Anytime Fitness, Waxing the City, The Bar Method, and Basecamp Fitness, is seeking a Data Engineer to join its Purpose Brands team. This is a great position for someone who is looking to expand their career, and join a company with a fun, fast-paced and inspirational culture.
<br>
<br>
Develop, secure, troubleshoot, and maintain data ingestion pipelines to transform raw data into modeled datasets and provide meaningful business information. Use data integration processes to ensure data is available for analysis and reporting. May perform additional duties that are similar and consistent with stated position requirements.<br>
<p></p><br>
<p><b>Strengths and Background
</b></p><p></p><p>Qualified candidates must possess a Bachelor's degree in Computer Science, Information Systems, Statistics, or closely related field plus 1 year of experience. Of the required experience, must have 1 year of experience in each of the following:
</p><ul><li>One or more of the following cloud-based data engineering tool stacks: AWS, Azure, Google Cloud
</li><li>Writing highly optimized and efficient SQL
</li><li>Working in a cloud-based data warehouse
</li><li>Building data models for analytical use cases
</li><li>Processing large volumes of data in big data environments
</li><li>One or more of the following DAG orchestration tools: Airflow, Astronomer, Dagster
</li><li>Implementing DBT procedures
</li><li>One or more of the following programming languages: Python, Java
</li></ul><p></p><p>Telecommuting permitted no more than 1 day per week.
</p><p></p><p>Salary Range: $144,047 to $150,000
</p><p></p><p>Apply and review company benefits at https://purposebrands.com or
</p><p>Purpose Brands Intermediate LLC
</p><p>111 Weir Dr
</p><p>Woodbury, MN 55125<br>
</p><p></p><br>
<p><b>What&rsquo;s in it for you?
</b></p><p>We offer a competitive salary along with exceptional benefits such as:
</p><p></p><ul><li><p>Medical, Dental and Vision Coverage
</p></li><li><p>Hybrid Work Environment
</p></li><li><p>Life and Disability Insurance
</p></li><li><p>Unlimited Time off + Paid Holidays
</p></li><li><p>Fridays off between Memorial Day and Labor Day
</p></li><li><p>401(K) Savings Plan Matching at 4%
</p></li><li><p>10 Coaching and Therapy sessions
</p></li><li><p>Mental Health Benefits
</p></li><li><p>Brand Discounts &amp; Reimbursements
</p></li><li><p>In-house workout facilities
</p></li><li><p>Professional Development Opportunities
</p></li><li><p>Team Building, Employee Engagement Activities &amp; so much more
</p></li></ul><p></p><p><b>WORK SCHEDULE
</b><br>
Purpose Brands LLC, currently observe the following hybrid work model for employees at our Boca Raton (FL), Woodbury (MN), and Seattle (WA) offices:
</p><ul><li><p>Remote optional: Fridays
</p></li><li><p>On-site days: Mondays, Tuesdays, Wednesdays and Thursdays
</p></li></ul><p></p><p><b>DIVERSITY, EQUITY, AND INCLUSION STATEMENT
</b><br>
Purpose Brands is committed to encouraging, facilitating, and upholding an environment centered on diversity, equity, and inclusion across every facet of the Purpose Brands. We will work to create a sustainable culture that supports a healthy space for learning and growing, valuing, and empowering every employee, inspiring a diverse franchise network, and uplifting the members and communities we serve.<br>
</p><p><br>
<b>EEO STATEMENT
</b><br>
Purpose Brands provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Discrimination of any type will not be tolerated.</p></div><p></p>

Data Engineers (Seattle, WA)

Whatnot

<div>
 <strong>
  <strong>
   🚀 Join the Future of Commerce with Whatnot!
   <br/>
   <br/>
  </strong>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  💻 Role
  <br/>
  <br/>
 </strong>
 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
 <br/>
 <br/>
 As our newest
 <strong>
  Data Engineer
 </strong>
 , 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.
 <br/>
 <br/>
 <strong>
  On Any Given Day, You Will
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <strong>
  👋 You
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <strong>
  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.
  <br/>
  <br/>
 </strong>
 <strong>
  💰Compensation
  <br/>
  <br/>
 </strong>
 <strong>
  For Full-Time (Salary)
  <br/>
  <br/>
 </strong>
 <strong>
  US based applicants:
 </strong>
 $180,000/year to $260,000/year + benefits + equity.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  🎁 Benefits
  <br/>
  <br/>
 </strong>
 <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>
 <strong>
  <strong>
   💛 EOE
   <br/>
   <br/>
  </strong>
 </strong>
 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.
 <br/>
 <br/>
 Compensation Range: $180K - $260K
 <br/>
 <br/>
</div>


Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><ul><li>Awareness of IBM Data Stage ETL/ELT data integration tool to understand existing code.
</li></ul><ul><li>Develop , Test , Deploy ,Optimize, and monitor large-scale data processing workloads in Azure Data Bricks ETL.
</li></ul><ul><li>Ensure and lead the efforts to review Legacy Data Stage legacy code and migrated Data bricks code to ensure functionality is not deviated
</li></ul><ul><li>Strong programming skills in Python and PySpark.
</li></ul><ul><li>Advanced proficiency writing SQL for analytics and ETL processes.
</li></ul><ul><li>Proven experience building and optimizing complex data pipelines in Azure.
</li></ul><ul><li>Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance.
</li></ul><ul><li>Strong working knowledge of core Azure services: Storage Account, Synapse, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, service principals, and managed identities.
</li></ul><ul><li>Experience with container services (ACA, container instances) and containerized data workloads.
</li></ul><ul><li>Familiarity with Azure networking concepts and secure network integration for data platforms.
</li></ul><ul><li>Experience creating Azure infrastructure using ARM templates.
</li></ul><ul><li>Proficient with GitLab and Azure DevOps for CI/CD and source control workflows.
</li></ul><ul><li>Strong analytical, problem-solving, and communication skills; proven ability to work cross-functionally.
</li></ul><ul><li>Experience working in Agile teams and understanding of data governance frameworks.</li></ul><br>
<div><br>
</div><div>Responsibilities
</div><ul><li>Design, develop, and maintain end-to-end data pipelines and ETL/ELT workflows using PySpark and Python.
</li></ul><ul><li>Ensure and lead the efforts to review Legacy Data Stage legacy code and migrated Data bricks code to ensure functionality is not deviated
</li></ul><ul><li>Implement, optimize, and monitor large-scale data processing workloads in Azure Databricks, including cluster configuration, autoscaling, and governance.
</li></ul><ul><li>Build and maintain data integration and orchestration solutions using Azure services to meet performance, availability, and security requirements.
</li></ul><ul><li>Collaborate with data consumers, thread authors/owners, and stakeholders to gather business requirements, prioritize needs, and translate analytical objectives into technical designs.
</li></ul><ul><li>Implement secure data access patterns using Azure Active Directory, Managed Identities, and service principals.
</li></ul><ul><li>Author Infrastructure-as-Code for Azure resources (ARM templates) and deploy consistent, repeatable environments.
</li></ul><ul><li>Configure and operate Azure components including Storage Account, Synapse, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, Azure Container Apps / container instances, and related services.
</li></ul><ul><li>Collaborate with networking and security teams to design and implement Azure networking for data solutions.
</li></ul><ul><li>Implement monitoring, alerting, and cost optimization for data workloads (Log Analytics, metrics, and dashboards).
</li></ul><ul><li>Use GitLab and Azure DevOps for source control, CI/CD pipelines, and release management.
</li></ul><ul><li>Follow Agile/Scrum practices and participate in sprint planning, standups, and retrospectives.
</li></ul><ul><li>Ensure solutions meet data governance, lineage, and compliance requirements.
</li></ul><ul><li>Operations Support and Oncall Support for Production Issues and Deployments.
</li></ul><ul><li>Excellent communication Skills
</li></ul><ul><li>Ability to collaborate with Legacy and Modernize application teams and stake holders</li></ul><br>
<div><br>
</div><div>Base Salary R ange: $120,000 - $140,000 per annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:</div><br>
<div><br>
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</div><br>
<div><br>
</div><div>#LI-SV2
</div><div>#LI-KUMARAN
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>403636</div>
</div><div><div><b>Desired Skills</b></div>
<div>Datastage
</div></div><div><div><b>Salary Range</b></div>
<div>$120,000-$140,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Data Bricks Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online &ndash; providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional data engineer to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel<br>
<br>
Sellers&rsquo; trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by building and maintaining the data sources that power all of our decision making. Amazon&rsquo;s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems.
<br>
<br>
The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient &amp; automated processes. They know and love working with data engineering tools, can model multidimensional datasets, and can partner effectively with business leaders to build the right data pipelines to answer key business questions. They will build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. They will also be required to support and manage growth of these data solutions. They are analytical and creative, and don&rsquo;t quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results.
<br>
<br>
Key job responsibilities<br>
In this role, you will work on unifying fragmented data pipelines, building robust data models, and ensuring reliable data lineage across multiple product areas. You will partner closely with software engineers, product managers, and analytics teams to develop data solutions that drive innovation and operational excellence.<br>
<br>
The ideal candidate brings deep expertise in big data technologies, strong data modeling and problem-solving skills, and a track record of delivering scalable, maintainable data systems. If you&rsquo;re excited by the challenge of shaping data platforms that support real-world hardware, software, and operations, this is the role for you.<br>
<br>
A day in the life<br>
<ul><li>Architect and implement scalable, reliable, and secure data pipelines and infrastructure to support analytics, reporting, and business operations.</li><li>Design and enforce data modeling standards, data lineage, and governance frameworks that ensure consistency, re-usability, and quality across systems.</li><li>Lead design and code reviews, driving engineering best practices across data development, documentation, testing, and monitoring.</li><li>Build data platforms and frameworks that support both batch and real-time processing, enabling flexible, efficient analytics at scale.</li><li>Implement secure and compliant data solutions that meet internal and external regulatory requirements (e.g., GDPR).</li><li>Evaluate and introduce emerging technologies to improve data platform performance, cost efficiency, and scalability.</li><li>Collaborate with cross-functional teams to gather data requirements, define solution architectures, and ensure alignment with business needs.</li><li>Mentor junior engineers and contribute to team hiring and onboarding</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<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 - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer, SPTC

Explore 233+ Data pipeline engineer in Seattle this April. Find roles across top companies and apply now to boost your career.

233 data pipeline engineer jobs In Seattle

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Data Engineer, SPTC