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aiml - applied ml engineer, data generation & verification Jobs in Seattle

aiml - sr backend engineer, data and ml innovation Jobs in Seattle

analytics data engineer

aws data engineer

data pipeline engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>The Agentic AI Data Engineer is a hands-on role focused on building and maintaining the data pipelines and infrastructure that fuel AI agent systems. Within TCS&rsquo;s AI &amp; Data group (Americas), you will be the builder who turns data architecture plans into reality, ensuring that AI models and agents have continuous access to high-quality, timely data. This client-facing consulting role involves hybrid work from client site as needed for deployment. You&rsquo;ll work across wide array of business functions within Retail. By combining expertise in data ingestion, transformation, and integration with knowledge of AI data needs, you will play a critical part in enabling AI agents to perform reliably and accurately in production.</div><br>
<div><br>
</div><div>What You Would Be Doing:
</div><div>Build Data Ingestion Pipelines: Develop robust pipelines to extract data from various sources (databases, APIs, flat files, streaming sources) relevant to the AI solution.
</div><div>Data Transformation &amp; Processing: Implement transformation and cleaning steps on raw data to make it usable for AI, ensuring efficiency and scalability.
</div><div>Loading Data to Storage/Indices: Set up processes to load processed data into target storage systems that AI agents or models will use.
</div><div>Real-Time Data Feeds: Implement streaming or incremental update pipelines when AI systems require real-time or frequently updated data.
</div><div>Pipeline Automation &amp; Scheduling: Use orchestrators or schedulers to automate the data workflows.
</div><div>Data Integration &amp; API Development: Develop and maintain integration components for real-time data fetching.
</div><div>Collaborate on RAG/Knowledge Base Updates: Work closely with AI Data Architects on implementing RAG updates.
</div><div>Testing and Validation of Data Pipelines: Develop tests and monitoring for your data pipelines.
</div><div>Optimize Pipeline Performance: Profile and optimize data pipelines for speed and resource usage.
</div><div>Documentation and Handover: Document pipeline processes, configurations, and dependencies clearly.
</div><div>Industry-Specific Data Handling: Adapt data engineering to specific domain needs.
</div><div>Collaboration &amp; Agile Implementation: Work as part of an agile product team, collaborating with data architects, AI engineers, and others.
</div><div>Maintain and Evolve Pipelines: Monitor pipelines and handle maintenance post go-live.</div><br>
<div><br>
</div><div>What Skills Are Expected:
</div><div>Programming &amp; Scripting: Strong programming skills, especially in Python, and experience with other languages like SQL.
</div><div>Data Pipeline Development: Practical experience building data pipelines end-to-end.
</div><div>Database and SQL Skills: Proficiency in writing and optimizing SQL queries.
</div><div>Big Data &amp; Distributed Processing: Experience with big data technologies like Apache Spark.
</div><div>Streaming Data Experience: Familiarity with streaming frameworks and tools like Kafka.
</div><div>API Integration and Web Services: Ability to interact with web APIs for data ingestion or extraction.
</div><div>Data Formats and Parsing: Strong understanding of data formats and ability to parse JSON, XML, or custom text formats.
</div><div>DevOps for Data Pipelines: Basic DevOps skills, including using Git for version control and CI/CD pipelines.
</div><div>Problem Solving &amp; Debugging: Strong ability to troubleshoot data issues.
</div><div>Data Quality Focus: Attentiveness to data quality and skills in implementing checks and validating outputs.
</div><div>Collaboration &amp; Commun ication: Good communication skills to work with the team and clients.
</div><div>Time Management &amp; Flexibility: Ability to handle multiple tasks and prioritize effectively.
</div><div>Domain Data Understanding: Aptitude to learn domain context from data.
</div><div>Security &amp; Privacy Business Units: Understanding of handling sensitive data securely in pipelines.
</div><div>Continuous Learning: Willingness to learn new tools or frameworks as needed.</div><br>
<div><br>
</div><div>Key Technology Capabilities:
</div><div>ETL / Data Integration Tools: Experience with tools such as Apache Airflow, Informatica PowerCenter, or cloud-based ones like Azure Data Factory.
</div><div>Big Data Processing: Proficiency in Apache Spark and knowledge of Hadoop HDFS.
</div><div>SQL &amp; Databases: Strong practical SQL skills and familiarity with relational database systems.
</div><div>NoSQL and Other Data Stores: Knowledge of specific systems like MongoDB or Cassandra.
</div><div>Stream Processing: Hands-on usage of Apache Kafka and understanding of consumer group mechanics.
</div><div>Cloud Storage &amp; Compute: Familiarity with cloud storage services like Amazon S3 and cloud compute for ETL.
</div><div>APIs &amp; Web Services: Experience building or using connectors to RESTful APIs.
</div><div>File Formats &amp; Data Serialization: Understanding of various file formats and ability to convert between them.
</div><div>Operating Systems &amp; Scripting: Comfortable with Linux shell and basic shell scripting.
</div><div>Version Control &amp; CI/CD: Using Git for source control and setting up CI pipelines for data projects.
</div><div>Monitoring &amp; Logging Tools: Utilizing monitoring tools for data workflows.
</div><div>Data Visualization/Verification: Basics of tools like Excel or Python&rsquo;s Jupyter notebooks for data sanity checks.
</div><div>Security &amp; Networking: Understanding network configurations for data transfer.
</div><div>Testing Frameworks: Familiarity with PyTest or unittest for writing tests for data transformations.
</div><div>Collaboration Tools: Experience with tools like JIRA and documentation tools.
</div><div>AI/ML Familiarity: Bonus if you understand some AI/ML fundamentals</div><br>
<div><br>
</div><div>Salary Range: 124300-168100 a year
</div><div>#LI-MM6</div><br>
<div><br>
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>415327</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$124,300-$168,100 a year</div></div></div></div><div></div>

Senior Engineer, AI Data Management

Weyerhaeuser

<div>
 <strong>
  About Weyerhaeuser
  <br/>
  <br/>
 </strong>
 At Weyerhaeuser, we are the world&rsquo;s premier timber, land, and forest products company. Sustainability is the founding concept of our business and our values drive every decision to ensure we continue to lead the forestry industry in sustainability practices. And we know about sustainability &ndash; we led it in the forestry industry when we planted our first seedling by hand in 1938. We recognize that our success is dependent on the success of our people. For over 125 years, our Weyerhaeuser team has been making a difference in the world &ndash; from the seedlings we plant, to the forests and trees we nurture, we ensure every acre is managed with diligence, patience and pride. That&rsquo;s the Weyerhaeuser way.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Weyerhaeuser&rsquo;s Data &amp; Analytics team is looking for a Data Engineer to build and operate the data platform that powers reporting, analytics, and AI across the enterprise. This hands-on role focuses on building scalable, reliable, well-governed pipelines that move data. We invest heavily in template- and metadata-driven patterns, so onboarding a new source is a configuration exercise, not a net-new build.
 <br/>
 <br/>
 We expect engineers to use AI as a force multiplier &mdash; both in how we build the platform (LLM-assisted development, testing, and documentation) and in what we deliver from it (AI-ready data products grounded in well-modeled sources). This role partners closely with source-system owners, analytics engineers, data scientists, and data analysts. It&rsquo;s well suited for someone who thrives in a fast-paced environment, has strong opinions about data quality and pipeline reliability, and is energized by building scalable foundations rather than one-off integrations.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Ingestion &amp; Integration
 <br/>
 <br/>
 <ul>
  <li>
   Design and maintain ingestion pipelines that move data from SAP, relational databases, flat files, REST APIs, message queues, and SaaS applications into our data lake/Snowflake.
  </li>
  <li>
   Extend our metadata-driven and template-driven ADF pipeline frameworks so onboarding a new source is a configuration exercise &mdash; schema mapping, validation, and config, not handwritten pipelines.
  </li>
  <li>
   Develop Python-based Azure Functions for custom ingestion logic, REST API integrations, paging/retry handling, and schema reconciliation.
  </li>
  <li>
   Implement reliable full and incremental data load patterns &mdash; watermarking, CDC, late-arriving data, and replayable backfills.
   <br/>
   <br/>
  </li>
 </ul>
 Modeling &amp; Transformation
 <br/>
 <br/>
 <ul>
  <li>
   Land and preserve history of raw data in the Azure data lake or Snowflake (bronze), then build dbt models that conform, deduplicate, standardize, and enrich it into clean silver datasets.
  </li>
  <li>
   Partner with analytics engineers and data analysts to build dimensional models and semantic views that enable AI-ready datasets.
   <br/>
   <br/>
  </li>
 </ul>
 Orchestration &amp; Reliability
 <br/>
 <br/>
 <ul>
  <li>
   Orchestrate end-to-end workflows in Azure Data Factory &mdash; dependencies, parameterization, retries, dynamic parallelism, and error handling for complex multi-source pipelines.
  </li>
  <li>
   Build monitoring, alerting, and own incident response &mdash; triage, root-cause analysis, and backfills, including occasional off-hours coverage for critical loads.
  </li>
  <li>
   Tune pipelines and Snowflake workloads for performance and cost
   <br/>
   <br/>
  </li>
 </ul>
 Data Quality, Security &amp; Governance
 <br/>
 <br/>
 <ul>
  <li>
   Implement data quality rules &mdash; schema validation, completeness, freshness, business-rule checks, and anomaly detection &mdash; wired into pipelines.
  </li>
  <li>
   Apply security and compliance best practices and contribute to lineage, metadata, and catalog efforts.
   <br/>
   <br/>
  </li>
 </ul>
 Platform &amp; Engineering Practices
 <br/>
 <br/>
 <ul>
  <li>
   Partner with Data Platform Engineers on Terraform-managed cloud resources, and CICD pipelines.
  </li>
  <li>
   Drive engineering best practices &mdash; version control, testing, documentation, observability, and document pipelines, schemas, contracts, and runbooks so the platform is supportable by the broader team.
  </li>
  <li>
   Mentor junior engineers, contribute to design reviews, and help evaluate new tools and patterns. Contribute to code reviews.
   <br/>
   <br/>
  </li>
 </ul>
 AI Enablement
 <br/>
 <br/>
 <ul>
  <li>
   Skilled in the use of AI assistants and LLM-powered tools to accelerate development, generate and improve tests, and produce or maintain documentation.
   <br/>
   <br/>
  </li>
 </ul>
 Collaboration
 <br/>
 <br/>
 <ul>
  <li>
   Partner with analytics engineers, data analysts, and data scientists to translate requirements into reliable raw data pipelines they can model into downstream products.
  </li>
  <li>
   Communicate technical concepts and trade-offs clearly to both technical and non-technical audiences.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job
  <br/>
  <br/>
 </strong>
 Information Technology
 <br/>
 <br/>
 <strong>
  Primary Location
  <br/>
  <br/>
 </strong>
 USA-WA-Seattle
 <br/>
 <br/>
 <strong>
  Schedule
  <br/>
  <br/>
 </strong>
 Full-time
 <br/>
 <br/>
 <strong>
  Job Level
  <br/>
  <br/>
 </strong>
 Individual Contributor
 <br/>
 <br/>
 <strong>
  Job Type
  <br/>
  <br/>
 </strong>
 Experienced
 <br/>
 <br/>
 <strong>
  Shift
  <br/>
  <br/>
 </strong>
 Day (1st)
 <br/>
 <br/>
 <strong>
  Relocation Assistance
  <br/>
  <br/>
 </strong>
 Available
 <br/>
 <br/>
 What You&rsquo;ll Have
 <br/>
 <br/>
 <strong>
  Required
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering
  </li>
  <li>
   4+ years of hands-on data engineering experience building and operating production data pipelines.
  </li>
  <li>
   Strong proficiency in SQL (including performance tuning) and Python (readable, testable, maintainable code).
  </li>
  <li>
   Production experience with a cloud-based ingestion and orchestration platform &mdash; Azure Data Factory and Azure Functions preferred, though comparable tools (Fabric Pipelines, AWS Glue/Step Functions, Airflow, Dagster, Prefect, etc.) are acceptable &mdash; including parameterized, dynamic, and metadata-driven pipeline patterns.
  </li>
  <li>
   Production experience with dbt or a comparable transformation framework, including building and choosing across materialization patterns (views, tables, incremental, ephemeral, snapshots), test coverage, documentation, and history preservation.
  </li>
  <li>
   Production experience with Snowflake or similar data platform: loading patterns, role-based access, performance tuning, and cost-aware design.
  </li>
  <li>
   Demonstrated experience ingesting from a variety of sources: relational databases, SAP, flat files, REST APIs (JSON/XML), and SaaS applications.
  </li>
  <li>
   Experience implementing incremental/delta load patterns and managing watermarking, CDC, schema evolution, and backfills.
  </li>
  <li>
   Working knowledge of Terraform for provisioning Azure and/or Snowflake resources.
  </li>
  <li>
   Solid understanding of data quality, monitoring, alerting, and operational support practices.
  </li>
  <li>
   Working proficiency with Git, pull-request workflows, and CI/CD pipelines for data &mdash; code review, automated testing, and promotion across environments are part of how you ship.
  </li>
  <li>
   AI in your engineering workflow &mdash; demonstrated use of AI assistants and LLM-powered tools to accelerate development, generate and improve tests, and produce or maintain documentation.
  </li>
  <li>
   Track record of owning reliability &mdash; not just shipping features, but keeping data flowing cleanly over time.
  </li>
  <li>
   Strong communication skills and the ability to work cross-functionally with engineering, analytics, and business teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure or familiarly working with geo-spatial datasets and using geo-spatial functions
  </li>
  <li>
   Exposure or familiarity with Iceberg table structures and operations
  </li>
  <li>
   Experience designing reusable, config-driven ingestion frameworks at scale.
  </li>
  <li>
   Exposure to streaming or near-real-time ingestion (Event Hubs, Kafka, or similar).
  </li>
  <li>
   Familiarity with data governance, lineage, and catalog tooling.
  </li>
  <li>
   Experience with BI tools such as Power BI in a downstream/consumer context.
  </li>
  <li>
   Experience working with manufacturing, supply chain, or forestry/natural-resources data domains.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location:
 </strong>
 This role will be based out of our corporate office in Seattle, WA.
 <br/>
 <br/>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $98,811-$148,217 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 10% of base pay. Potential plan funding may range from zero to two times that target.
 <br/>
 <br/>
 <strong>
  Benefits:
 </strong>
 When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career.
 <br/>
 <br/>
 <strong>
  Retirement:
 </strong>
 Employees are able to enroll in our company&rsquo;s 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary.
 <br/>
 <br/>
 <strong>
  Paid Time Off or Vacation:
 </strong>
 We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees.
 <br/>
 <br/>
 <em>
  Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
 </em>
</div>


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: This role is open to candidates across the US, with preferred locations in San Francisco, CA (hybrid), New York City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US full-time.</b></p>
<p><i>
If your primary residence is in the greater San Francisco Bay Area, this role follows our hybrid model, with 3 days per week in office to support in-person collaboration. Your recruiter will share more details.</i></p>
<p><b>
Pay &amp; Benefits</b>:</p>
<p>
The anticipated new hire base salary range for this full-time position is <b>$122,400-170,000</b> + equity + benefits.</p>
<p><i>
For candidates based in San Francisco, New York City, or Seattle, a separate salary range of $156,400-$195,500 applies, consistent with our location-based compensation philosophy.</i></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

Amazon

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 WW Pricing drives the success of Amazon Retail and 3P Pricing. We build software that makes billions of monthly pricing recommendations on our marketplaces. We earn our customers' trust by consistently delivering the lowest prices possible: we price and publish prices automatically for the millions of products bought worldwide every day by our customers.
 <br/>
 <br/>
 You will be joining WW Pricing Data &amp; Analytics team which consists of several Data Engineers and Business Intelligence Engineers.
 <br/>
 <br/>
 As a Data Engineer, you will create data models and ML data infrastructure that power our pricing algorithms and shape both customer and seller experiences. You'll develop essential data flows that keep our systems running smoothly while uncovering valuable insights that drive customer and seller success. You'll be developing GenAI based solutions to improve the operational and reporting efficiency.
 <br/>
 <br/>
 This job is for you if you are passionate about working with the largest and most complex data to optimize service performance. You will own the models and processes for collecting and transforming data, and work within the Pricing software engineering teams to drive the resulting business initiatives. You will learn the customer's intentions, and support us in understanding them as we take our business to the next level.
 <br/>
 <br/>
 Key job responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Architecture design and implementation of next generation data pipelines and BI solutions
  </li>
  <li>
   Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
  </li>
  <li>
   Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
  </li>
  <li>
   Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
  </li>
  <li>
   Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <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)
   <br/>
   <br/>
  </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.
 <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.
 <br/>
 <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.
 <br/>
 <br/>
 USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually
 <br/>
 <br/>
 <br/>
 <strong>
  Company
 </strong>
 - Amazon.com Services LLC
 <br/>
 <br/>
 Job ID: A10433467
</div>


Data Engineer, WW Pricing - Data & Analytics

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br>
<br>
Are you interested in shaping the future of entertainment? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe?<br>
<br>
As part of the Prime Video team, you&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. Also, you&rsquo;ll get to experiment with new possibilities, take risks, and collaborate with remarkable people.<br>
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented creatives, technologists, marketing professionals and so much more, you can decide where a career with Prime Video takes you!<br>
<br>
We are seeking a highly skilled and technically adept Data Engineer to join our PVA Data Engineering team. In this role, you will design, build, and maintain scalable, fault-tolerant data pipelines and infrastructure to support data-driven insights. Leveraging native AWS technologies and Amazon&rsquo;s internal tools, you will handle data ingestion, transformation, integration, and ensure high standards of data quality through validation, cleansing, and deduplication.<br>
<br>
You will also be responsible for architecting high-performance, scalable, and cost-efficient big data processing and storage solutions, automating infrastructure with CI/CD principles, and optimizing data models to drive efficient ETL processes. You will be interfacing with several key services and APIs, write code and build applications in a scalable manner to extract, process, ingest unstructured data in a streaming, batch and asynchronous fashion.<br>
<br>
Your role will also focus on data governance, ensuring compliance with policies, implementing access controls, encryption, retention, and audit mechanisms. Additionally, you will work on continuous improvement by automating processes and adopting the latest data engineering technologies. Collaboration with Data Scientists, Business Intelligence Engineers (BIEs), Software Development Engineers (SDEs), Product Managers (PMs), and functional managers will be key to delivering tailored data solutions.<br>
<br>
You'll also manage diverse technologies such as Python, EMR, Spark, Iceberg, Airflow, and many AWS data services like Glue, Athena, Redshift to build a scalable platform that supports analytics and experimentation. The ideal candidate must be customer-obsessed with a passion for advertising, able to synthesize a variety of technologies, and effectively lead complex projects.<br>
<br>
In this position, your attention to detail and dedication to high-quality, well-documented data products will empower stakeholders to make better, data-driven decisions.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and implement scalable, fault-tolerant data pipelines using AWS technologies and internal Amazon tools to extract, transform, and load data from multiple sources.</li><li>Collaborate cross-functionally with BIEs, Data Scientists, PMs, and SDEs to understand data requirements and deliver customized data solutions.</li><li>Automate infrastructure deployment with CI/CD pipelines and ensure streamlined processes for deployment and maintenance.</li><li>Ensure data quality through robust validation, cleansing, and deduplication techniques.</li><li>Implement data governance standards, including access control, encryption, data retention, deletion policies, and audit mechanisms to ensure compliance and security.</li><li>Continuously improve and optimize data pipelines and infrastructure, staying up to date with emerging technologies and implementing automation and monitoring tools.</li><li>Build a scalable and reliable data platform supporting analytics and experimentation for intuitive, self-service data products.</li><li>Write high quality code and build scalable applications that interface with critical services and APIs to extract and process unstructured data</li><li>Work with a range of data technologies, including Python, EMR, Spark, Iceberg, Airflow, and many AWS data services like Glue, Athena, Redshift to create end-to-end pipelines that consolidate data from disparate systems.</li></ul><br>
About the team<br>
Prime Video Advertising - Data Engineering(&ldquo;PVA-DE&rdquo;) team is a central data and analytics team within the PV-Ads org that plays a pivotal role in fueling the worldwide growth of Amazon&rsquo;s video advertising business. We own data platform, reporting, dashboards, measurement, and analytical solutions for PV Ads.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with SQL</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 II, Prime Video Advertising

Providence

<div><p><b>Description
</b></p><p><b>Role summary
</b></p><p>Data Engineer I is responsible for designing and developing modern, data-centric applications that support clinical and operational workflows across the healthcare system. These solutions leverage cloud technologies, big data platforms, data science methodologies, and contemporary software development frameworks.
</p><p>Key responsibilities include building scalable data pipelines, transformation and enrichment processes, provisioning layers, and intuitive user interfaces aligned with strategic initiatives. This role also involves mentoring junior Data Engineers and contributing to the research and adoption of emerging technologies to establish repeatable processes and templates.
</p><p>Collaboration is a core value, with a strong emphasis on thorough source control and documentation. The ideal candidate approaches complex challenges with simplicity, utilizing modern tools and techniques to deliver efficient solutions.
</p><p>This position works closely with Product, Platform, and Architecture teams to ensure alignment and successful delivery of joint initiatives.
</p><p>In this role you will own the reliability, security, and cost-efficiency of Providence&rsquo;s enterprise data platform. You will automate and monitor production pipelines, resolve incidents and partner with engineering and analytics teams to meet strict SLAs.
</p><p><b>What you&rsquo;ll own
</b></p><ul><li>Automation and monitoring batch/streaming ELT/ETL pipelines across cloud services and Snowflake; keep data fresh and
</li></ul><p>accurate.
</p><ul><li><p>Triaging failures, performing root-cause analyses and post-mortems, and continuously reducing MTTR.
</p></li><li><p>Orchestrating schedules and dependencies (e.g., Ctrl-M) and managing connectors (in Fivetran/HVR).
</p></li><li><p>Building operational automation with SQL, Python, and shell (Bash/PowerShell) on Linux.
</p></li><li><p>Implementing observability: logging, alerting, data-quality checks, audits, and runbooks.
</p></li><li><p>Optimizing Snowflake performance and spend (warehouses, caching).
</p></li><li><p>Enforcing access controls and secrets management, supporting compliance and audit needs.
</p></li><li><p>Partnering with product/analytics teams; documenting procedures and providing reliable on-call support (rotational).
</p></li></ul><p><b>Essential Skills
</b></p><ul><li><p>Strong SQL, plus hands-on Python and shell scripting (Bash/PowerShell) on Linux.
</p></li><li><p>Experience with cloud computing and data warehousing on relational platforms.
</p></li><li><p>Solid understanding of OLAP/dimensional modeling and RDBMS fundamentals.
</p></li><li><p>Knowledge of semi/unstructured data (JSON/Parquet) and API integrations.
</p></li><li><p>Familiarity with open-source ELT/ETL tooling.
</p></li><li><p>Git-based workflows and CI/CD basics for data deployments.
</p></li><li><p>Experience building and managing data ingestion pipelines from multiple sources into cloud data platforms.
</p></li><li><p>Working knowledge of Snowflake, including database objects, warehouses, and basic query optimization.
</p></li></ul><p><b>Nice to have
</b></p><ul><li><p>Snowflake administration experience (account management, RBAC, resource monitors, storage/warehouse configuration, network policies).
</p></li><li><p>Fivetran and/or HVR (Fivetran HVR) experience or equivalent CDC/replication tools.
</p></li><li><p>Snowflake operations expertise (performance tuning, Streams/Tasks, Snowpark), plus knowledge of Snowflake AI features.
</p></li><li><p>Streamlit for lightweight internal apps and operational dashboards.
</p></li><li><p>Experience with enterprise schedulers (e.g., Ctrl-M) and data-quality/observability platforms.
</p></li><li><p>Background in regulated environments (e.g., healthcare/HIPAA) and service management (e.g., ServiceNow).
</p></li></ul><p>W <b>e are accepting applications from candidates who reside within 65 miles of:
</b></p><ul><li><p>Renton, Redmond, or Seattle, WA
</p></li><li><p>Portland, OR
</p></li><li><p>Napa or Irvine, CA
</p></li><li><p>Lubbock, TX
</p></li></ul><p><b>Required Qualifications:
</b></p><ul><li><p>Bachelor&rsquo;s in CS/Engineering or equivalent experience; senior-level hands-on ownership of production data operations.
</p></li><li><p>1 or more year of related experience in Snowflake, CTRL-M, and ADF.
</p></li></ul><p><b>Preferred Qualifications:
</b></p><ul><li>Master's degree in computer engineering, Computer Science, Mathematics, Engineering, or an equivalent combination of education and experience
</li></ul><p><b>Salary Range by Location:
</b></p><p>California: All Northern California - Except Humboldt: Min: $52.79, Max: $81.94
</p><p>California: All Southern California - Except Bakersfield: Min: $47.05, Max: $73.04
</p><p>Oregon: Portland Service Area: Min: $45.14, Max: $70.07
</p><p>Texas: Min: $34.43, Max: $53.44
</p><p>Washington: Western: Min: $47.05, Max: $73.04
</p><p><b>Why Join Providence?
</b></p><p>Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security. We take care of you, so you can focus on delivering our Mission of caring for everyone, especially the most vulnerable in our communities.
</p><p>Accepting a new position at another facility that is part of the Providence family of organizations may change your current benefits. Changes in benefits, including paid time-off, happen for various reasons. These reasons can include changes of Legal Employer, FTE, Union, location, time-off plan policies, availability of health and welfare benefit plan offerings, and other various reasons.
</p><p><b>About Providence
</b></p><p>At Providence, our strength lies in Our Promise of &ldquo;Know me, care for me, ease my way.&rdquo; Working at our family of organizations means that regardless of your role, we&rsquo;ll walk alongside you in your career, supporting you so you can support others. We provide best-in-class benefits and we foster an inclusive workplace where diversity is valued, and everyone is essential, heard and respected. Together, our 120,000 caregivers (all employees) serve in over 50 hospitals, over 1,000 clinics and a full range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington. As a comprehensive health care organization, we are serving more people, advancing best practices and continuing our more than 100-year tradition of serving the poor and vulnerable.
</p><p>Posted are the minimum and the maximum wage rates on the wage range for this position. The successful candidate's placement on the wage range for this position will be determined based upon relevant job experience and other applicable factors. These amounts are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.
</p><p>Providence offers a comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching, health care benefits (medical, dental, vision), life insurance, disability insurance, time off benefits (paid parental leave, vacations, holidays, health issues), voluntary benefits, well-being resources and much more. Learn more at providence.jobs/benefits.
</p><p>Applicants in the Unincorporated County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Unincorporated Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
</p><p><b>Requsition ID: </b>435996
<br>
<b>Company: </b>Providence Jobs
<br>
<b>Job Category: </b>Development/Engineering
<br>
<b>Job Function: </b>Information Technology
<br>
<b>Job Schedule: </b>Full time
<br>
<b>Job Shift: </b>Multiple shifts available
<br>
<b>Career Track: </b>Business Professional
<br>
<b>Department: </b>4011 SS IS HI DP 3
<br>
<b>Address: </b>WA Renton 1801 Lind Ave SW
<br>
<b>Work Location: </b>Providence Valley Office Park-Renton
<br>
<b>Workplace Type: </b>Remote
<br>
<b>Pay Range: </b>$See Posting - $See Posting
<br>
The amounts listed are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.</p></div>

Data Engineer I IS - Remote

Anthropic

<div>
 <strong>
  About Anthropic
  <br/>
  <br/>
 </strong>
 Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As an Analytics Engineer, you will be an early member of the Data Science &amp; Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company&rsquo;s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
  </li>
  <li>
   Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
  </li>
  <li>
   Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
  </li>
  <li>
   Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
  </li>
  <li>
   Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
  </li>
  <li>
   Influence the future roadmap of Product and GTM teams from a data systems perspective
  </li>
  <li>
   Become an expert in our organization&rsquo;s data models and the company's data architecture
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Be a Good Fit If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience as an Analytics Data Engineer or similar Data Science &amp; Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
  </li>
  <li>
   A passion for the company's mission of building helpful, honest, and harmless AI.
  </li>
  <li>
   Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
  </li>
  <li>
   Expertise in SQL and Python to transform data into accurate, clean data models.
  </li>
  <li>
   Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
  </li>
  <li>
   A bias for action and urgency, not letting perfect be the enemy of the effective.
  </li>
  <li>
   A &ldquo;full-stack mindset&rdquo;, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
  </li>
  <li>
   Experience building an Analytics Data Engineering (or similar) function at start-ups.
  </li>
  <li>
   A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
   <br/>
   <br/>
  </li>
 </ul>
 The annual compensation range for this role is listed below.
 <br/>
 <br/>
 For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
 <br/>
 <br/>
 <strong>
  Annual Salary
  <br/>
  <br/>
 </strong>
 $275,000&mdash;$370,000 USD
 <br/>
 <br/>
 <strong>
  Logistics
  <br/>
  <br/>
 </strong>
 <strong>
  Minimum education:
 </strong>
 Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience
 <br/>
 <br/>
 <strong>
  Required field of study:
 </strong>
 A field relevant to the role as demonstrated through coursework, training, or professional experience
 <br/>
 <br/>
 <strong>
  Minimum years of experience:
 </strong>
 Years of experience required will correlate with the internal job level requirements for the position
 <br/>
 <br/>
 <strong>
  Location-based hybrid policy:
 </strong>
 Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
 <br/>
 <br/>
 <strong>
  Visa sponsorship:
 </strong>
 We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
 <br/>
 <br/>
 <strong>
  We encourage you to apply even if you do not believe you meet every single qualification.
 </strong>
 Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
 <br/>
 <br/>
 <strong>
  Your safety matters to us.
 </strong>
 To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
 <br/>
 <br/>
 <strong>
  How We're Different
  <br/>
  <br/>
 </strong>
 We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
 <br/>
 <br/>
 The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
 <br/>
 <br/>
 <strong>
  Come work with us!
  <br/>
  <br/>
 </strong>
 Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
 <strong>
  Guidance on Candidates' AI Usage:
 </strong>
 Learn about our policy for using AI in our application process.
</div>


Analytics Data Engineer

Explore 46+ Data pipeline engineer in Seattle this June. Find roles across top companies and apply now to boost your career.