data analyst

software engineer

business intelligence analyst Jobs in Seattle

business intelligence analyst

business intelligence developer Jobs in Seattle

business intelligence developer

cloud data engineer

data engineer

Blueprint Technologies

<div><p><b>Who is Blueprint?</b></p>
<p>
We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We're bold, smart, agile, and fun.</p>
<p><b>
What does Blueprint do?</b></p>
<p>
Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies.</p>
<p><b>
Why Blueprint?</b></p>
<p>
At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You'll focus on solving unique business problems while gaining hands-on experience with the world's best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won't find a better place to work and thrive than at Blueprint.</p>
<p></p>
<div><h2 class="jobSectionHeader"><b>In This Role</b></h2>
<p>
As a Data Engineer on the Data Pipeline team, you will build and support modern, large-scale analytics platforms that power data-driven decision-making across the studio. You'll work hands-on with cloud-based lakehouse and warehouse architectures, designing and maintaining real-time and batch data pipelines that serve business, design, test, and development stakeholders. This role sits at the intersection of data engineering, analytics enablement, and documentation, helping teams not only use data effectively but also understand and trust the systems behind it.</p>
<p>
You'll contribute to a culture of test-driven, data-informed development by shaping how data is captured, processed, documented, and shared. Attention to detail, strong engineering fundamentals, and a passion for scalable, modern data architecture are key to success in this role.</p>
<b>
Responsibilities</b>
<ul><li>Design, build, and maintain scalable, high-quality data pipelines supporting both real-time and batch analytics workloads</li>
<li>Develop and optimize ETL/ELT processes using modern cloud data technologies and orchestration tools</li>
<li>Contribute to the design and evolution of lakehouse and warehouse data models that support analytics and reporting needs</li>
<li>Partner with business, design, test, and development teams to understand data requirements and improve data capture strategies</li>
<li>Help lead technical writing initiatives, including goal-setting, planning, and execution</li>
<li>Write, edit, and maintain clear, concise, and well-structured technical documentation</li>
<li>Create and improve documentation standards, organization, and knowledge-sharing processes</li>
<li>Organize and curate documentation to ensure it is intuitive, discoverable, and up to date</li>
<li>Advocate for consistent knowledge sharing across teams and studios</li>
<li>Research and propose improvements to documentation workflows and solutions to existing pain points</li>
<li>Apply modern engineering best practices to ensure reliability, scalability, and data quality across platforms</li>
</ul><b>Required Qualifications</b>
<ul><li>5+ years of professional experience working with SQL</li>
<li>5+ years of experience designing and implementing scalable ETL processes, including data movement and data quality tooling</li>
<li>Hands-on experience with cloud-based data orchestration solutions (e.g., Azure Data Factory or equivalent)</li>
<li>3+ years of experience with modern big data analytics platforms, including:
<ul><li>Data lakes</li>
<li>Distributed processing frameworks (e.g., Spark)</li>
<li>Columnar storage formats such as Parquet</li>
</ul></li><li>2+ years of experience building and supporting cloud-hosted data systems</li>
<li>Strong understanding of data modeling, pipeline reliability, and performance optimization</li>
</ul><b>Preferred Qualifications</b>
<ul><li>Experience building data pipelines using cloud-native analytics platforms and services (e.g., data factory tools, analytics warehouses, and Spark-based processing)</li>
<li>Hands-on experience working with Delta Lake and transactional data lake formats</li>
<li>Experience querying and integrating data from high-performance analytics engines (e.g., time-series or log-based systems such as Kusto/Azure Data Explorer)</li>
<li>Exposure to AI/ML-focused data engineering use cases, including:
<ul><li>Feature engineering and feature stores</li>
<li>Model training and serving datasets</li>
<li>Model monitoring and observability pipelines</li>
</ul></li><li>Experience preparing, governing, and securing datasets for modern AI applications, including:
<ul><li>LLM and RAG workflows</li>
<li>Experimentation and A/B testing</li>
<li>Privacy-aware and compliant data access patterns</li>
</ul>
</li></ul></div><p><b>Salary Range</b></p>
<p>
At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is <b>$43 to $45.38 USD/Hourly</b>. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate's qualifications and could fall outside the stated range.</p>
<p><b>
Equal Opportunity Employer</b></p>
<p>
Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law.</p>
<p>
If you need assistance or a reasonable accommodation to complete the application process, please reach out to: recruiting@bpcs.com</p>
<p>
Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes:</p>
<ul>
<li>Medical, dental, and vision coverage</li>
<li>Flexible Spending Account</li>
<li>401k program</li>
<li>Competitive PTO offerings</li>
<li>Parental Leave</li>
<li>Opportunities for professional growth and development</li>
</ul>
<p><b>Location:</b> Remote</p></div>

Data Engineer

Redfin

<div>This position is a hybrid role requiring employees to work from our headquarters location in Seattle, WA every Tuesday and Wednesday, and remote all other days.<p></p><p>
Redfin is revolutionizing the $75 billion real estate industry. We use data, beautiful software, and innovative design to put customers first at every step in the home-buying and selling process. Get ready to dive headfirst into our award-winning website and mobile apps, solving complex business problems in a highly visible, customer-centric way. If you value doing great work in a collaborative environment, join our team!</p><p></p><div><div><div><div><div><div><div><div><div><p>
As a Data Engineer II, you will share ownership of Redfin&rsquo;s Data Platform, owning business critical data integrations and operational excellence. You will work closely with Engineering and Analytics teams to create and support data pipelines and transformations. The ideal candidate is a data pipeline builder who enjoys optimizing existing systems as well as building new systems from the ground up. We are also looking for someone who is self-directed and comfortable supporting the data needs of multiple systems and teams.</p><p></p><p><b>
Responsibilities</b></p><ul><li><p>
Design, develop, and support complex data pipelines from a wide variety of data sources for Redfin</p></li><li><p>
Work with other Engineering teams to design and implement data exchange systems from structured and unstructured data sources</p></li><li><p>
Work with end users to gather requirements and design solutions that provide the the data they need in the format they need it in</p></li><li><p>
Ensure 100% accuracy in everything you do - make sure that all code and processes are fully tested and verified before running in production</p></li><li><p>
Identify and implement internal process improvements by automating manual processes and optimizing for accuracy, performance and coding best practices</p></li><li><p>
Support and maintain dev / test / prod environments</p></li><li><p>
Serve as part of weekly on call rotation</p></li></ul><p></p><p><b>
Qualifications</b></p><ul><li><p>
3+ years experience with a modern programming language (Python, Java, etc). Python is preferred</p></li><li><p>
3+ years experience with complex SQL, data modeling and database technologies (Postgres, MySQL, Snowflake, etc). Snowflake is preferred</p></li><li><p>
Experience creating and maintaining complex data pipelines</p></li><li><p>
Experience with batch and streaming data pipelines</p></li><li><p>
Experience with both structured and unstructured data sets</p></li><li><p>
Ability to translate business needs into technical requirements</p></li><li><p>
Experience with Git / Jenkins / Airflow / Docker / Kubernetes / Spark is a plus</p></li><li><p>
Experience with API development is a plus</p></li><li><p>
Experience with cloud services (AWS / Azure / GCP) is a plus. AWS is preferred</p></li><li><p>
Ability to structure data to make it accessible, performant, and resilient to change</p></li><li><p>
Experience with message queuing and stream processing data is a plus</p></li><li><p>
Ability to handle ambiguity and function in a fast paced, constantly changing environment</p></li><li><p>
Ability to communicate well with both technical and non technical users</p></li></ul></div></div></div></div></div></div></div></div></div><p></p><p>
Illinois, Maryland, Minnesota, Massachusetts, Colorado, New York City, New Jersey, Jersey City, California, D.C. and Washington candidates only:</p><p></p>
Base Pay Range: $108,300.00 - 162,200.00.<p></p><p>
The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is only an estimate and is subject to revision from time to time as the Company, in its sole and exclusive discretion, deems appropriate. The Company may determine during its review of the proposed compensation and benefits provided for this position that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position.</p><p></p>
#LI-Hybrid<p></p><p><b>
Redfin is an equal opportunity employer committed to an inclusive workforce.</b></p><p></p><p>
An inclusive culture is vital to Redfin's mission of making real estate better for people from all walks of life. We&rsquo;re proud that Redfin is a place where different points of view and backgrounds are encouraged and respected. We constantly strive to build a company that reflects the world around us, based on our conviction that pursuing and developing talent of all types is the right way for a business to thrive over the long haul.</p><p></p><p>
Redfin provides equal employment opportunities to all employees and applicants for employment and prohibit discrimination based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, and any other characteristic protected by applicable federal, state or local law. If you need accommodation in the application or recruitment process because of a disability or special need, please contact recruitingteam@redfin.com</p><p></p><p>
Redfin encourages individuals with criminal record histories to apply for employment and considers such individuals for employment consistent with the requirements of any applicable fair chance acts, including but not limited to the California, San Francisco and Los Angeles County Fair Chance Acts. Philadelphia applicants can access a copy of Philadelphia Fair Criminal Records Screening Standards ordinance poster here.</p><p></p><p>
Redfin accepts applications on an ongoing basis.</p></div><p></p>

Data Engineer II

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><ul><li> 5+ years of experience building platforms and data products
</li></ul><ul><li> 5+ years of experience working with data and data warehousing business solutions
</li></ul><ul><li> 5+ years of experience with cloud-platform technologies (AWS, Azure, GCP)
</li></ul><ul><li> AWS data engineering services (Glue, Lambda, Redshift), data modeling/Data mesh
</li></ul><ul><li> 5+ years of experience with data pipeline tools and Extract Transform Load (ETL) services
</li></ul><ul><li> Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion
</li></ul><ul><li> Experience with Artificial Intelligence (AI) hardware and software integrationenvironment.</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><ul><li> Design and own the end-to-end cloud data platform architecture for Human Resources (HR) data (ingest, storage, processing, serving, cataloging, and archival)
</li></ul><ul><li> Translate HR analytics and Machine Learning (ML) requirements into logical and physical data models, data products, and platform services
</li></ul><ul><li> Define and implement data ingestion strategies (batch, streaming), transformation patterns (ELT/ETL), and orchestration for HR sources (HRIS, payroll, Learning Management Systems, recruiting, time and attendance, benefits, performance systems)
</li></ul><ul><li> Design, develop, maintain and optimize internal company data architecture for complex databases/data warehouse required to operate the business
</li></ul><ul><li> Complete data modelling for acquisition and database implementation collaborating with different stakeholders
</li></ul><ul><li> Apply data extraction, transformation and loading techniques to connect large and complex data sets from a variety of sources
</li></ul><ul><li> Lead the creation of data collection frameworks for structured and unstructured data and solve complex data problems to generate features required by data scientists
</li></ul><ul><li> Lead activities to develop and maintain complex infrastructure systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces (APIs)
</li></ul><ul><li> Analyze and manage complex data
</li></ul><ul><li> Guide other data and analytics professionals on data standards and practices
</li></ul><ul><li> Create a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions
</li></ul><ul><li> Lead build of repeatable data pipelines across complex multi- and hybrid-cloud environments
</li></ul><ul><li> Leverage automation extensively for scalability, repeatability, and reuse</li></ul><br>
<div><br>
</div><div>Generic Managerial Skills, If any
</div><ul><li> Experience in Human Resources
</li></ul><ul><li> Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling
</li></ul><ul><li> Experience with Azure DevOps (ADO) or Team Foundation Server (TFS ), GitLab, GIT, IIS, Windows Server
</li></ul><ul><li> Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure
</li></ul><ul><li> Experience with Cloud technologies and/or Cloud-native app development and microservices</li></ul><br>
<div><br>
</div><div>Base Salary Range : $100,000 to $130,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</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></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>402083</div>
</div><div><div><b>Desired Skills</b></div>
<div>ASP.NET</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$130,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Cloud Data Engineer

Seattle Kraken

<div><p><b>Position:</b> Data Engineer, Hockey Operations [Remote]</p>
<p><b>
Department:</b> Hockey Operations</p>
<p><b>
Reports To:</b> Director, Research &amp; Development</p><br>
<p></p>
<p><b>
Our Purpose</b></p>
<p>
We are building a championship organization that serves our fans, community, and business partners through world class sports and entertainment. We believe that Winning Matters, our Fans come first, with risk comes reward, great teams can achieve unimaginable results, honoring the Pacific Northwest is our duty and driving the business is our responsibility.</p>
<p><b>
Position Summary</b></p>
<p>
The Data Engineer will be part of the Hockey Operations Research &amp; Development team, responsible for building and maintaining the data infrastructure that powers player evaluation, trade analysis, draft preparation, and real-time decision making across the organization.</p>
<p>
This is a small, high-ownership team where you&rsquo;ll work closely with analysts, developers, and hockey operations staff who depend on the systems you build. You&rsquo;ll design &amp; implement pipelines, optimize data storage &amp; retrieval, and help ship reliable, performant infrastructure that scouts and coaches actually use.</p>
<p>
In a typical week, you might be debugging a pipeline that ingests tracking data, meeting with a scout or analyst to understand a new report they would like created, and working with an analyst on feature engineering for a new model. The systems you build will directly shape how we evaluate players, prepare for games, and make decisions that end up on the ice.</p>
<p><b>
Philosophy</b></p>
<p>
We believe good engineering in this role means:</p>
<ul>
<li>Building tools that help hockey operations staff make better decisions, faster</li>
<li>Ability to take loosely defined data requirements and deliver practical solutions</li>
<li>Choosing simple, reliable solutions over clever ones</li>
<li>Owning outcomes from problem through delivery, including incorporating user feedback</li>
<li>Shipping iteratively and learning from how the data is actually used</li>
<li>Noticing data quality or reliability issues early and addressing them proactively</li>
<li>Eagerness to learn the domain, grow as an engineer, and be open to mentorship</li>
</ul>
<p>You do not need to be a hockey expert on day one, but you should be genuinely curious about the domain.</p>
<p><b>
Must-Haves</b></p>
<ul>
<li>1+ year of data or analytics engineering experience in a production environment</li>
<li>Ability to independently design and maintain data pipelines in Python</li>
<li>Experience with ETL development, data modeling, and data warehousing</li>
<li>Experience with PostgreSQL or other relational databases at scale</li>
<li>Comfort working directly with non-technical users and translating their feedback into product decisions</li>
<li>Clear written communication and the ability to work with high autonomy</li>
</ul>
<p><b>Good-to-Haves</b></p>
<ul>
<li>Experience with AWS or a similar cloud ecosystem</li>
<li>Experience with a modern data stack: cloud warehouse (Snowflake, BigQuery, Redshift), orchestration (Airflow/dbt) and pipeline tooling.</li>
<li>Experience working with high-frequency spatial or event-stream data (e.g. NHL puck and player tracking, optical tracking systems, or similar)</li>
<li>Passion for hockey or sports</li>
</ul>
<p><b>Key Considerations</b></p>
<ul>
<li>This is a small team with limited layers between identifying a problem and owning it</li>
<li>Priorities shift with the hockey calendar &mdash; draft, trade deadline, free agency, and training camp all drive the roadmap</li>
<li>Data reliability is critical because hockey operations staff depend on accurate, timely information for real decisions</li>
<li>Requirements are not always fully defined. Comfort with ambiguity is essential</li>
</ul>
<p><b>Total Rewards Package</b></p>
<p><b>
Compensation</b></p>
<ul>
<li>In accordance with Washington&rsquo;s Equal Pay and Opportunity Act, the expected pay range for this position is $100,000 to $125,000. Actual base pay will depend on the employee&rsquo;s experience and other job-related factors permitted by law.</li>
<li>This role is classified as full-time, exempt.</li>
</ul>
<p><b>Benefits &amp; Perks</b></p>
<ul>
<li>Company-paid medical, dental, and vision insurance, including premiums for eligible dependents enrolled in the plans</li>
<li>Company-paid life insurance and short &amp; long term disability insurance</li>
<li>Company-paid employee assistance program and Headspace subscription</li>
<li>Flexible spending accounts and voluntary accident, critical illness, and hospital indemnity insurance available</li>
<li>401k (pre-tax and Roth) with Company match up to 4%</li>
<li>15 vacation days and accrued sick time</li>
<li>Minimum 10 paid holidays per year</li>
<li>Paid parental leave</li>
<li>Company-wide recognition platform</li>
</ul>
<p><b>Working Conditions</b></p>
<ul>
<li>Remote position: Candidates located in the United States are preferred, but international candidates are welcome to apply</li>
<li>Minimal Travel (&lt;10% travel): May be required to travel. Trips may require air travel and/or overnight stay away from home for one or more nights.</li>
<li>Some evening and weekend game coverage (shared across the team on a rotating basis)</li></ul><br>
<p></p>
<p><i>
Seattle Hockey Partners, LLC and Seattle Arena Company, LLC are proud to be an equal opportunity workplace. We do not discriminate on basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or any protected category prohibited by local, state or federal laws.</i></p></div>

Data Engineer, Hockey Operations

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
<br>
<br>
The Global Network Deployment (GND) organization is looking to hire a Data Engineer to join our Intel &amp; Reporting team (I&amp;R) to support GND&rsquo;s fast growing operations. The GND organization owns the delivery of physical network infrastructure for core data centers and Edge points-of-presence (PoPs) globally through planning, deployment, and process optimization.<br>
<br>
As a Data Engineer on this team, manage and create the infrastructure required to drive efficiency in data ingestion and transformation processes working with the source SDE teams and partner DE team across DCC for the data required for GND. You will work collaboratively with BIE's, business leaders and TIPMS teams on many non-standard and unique business problems and support business initiatives by enabling them to query data and build appropriate metrics.
<br>
<br>
The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects E2E, from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team&rsquo;s BI solutions and any related systems or artifacts.<br>
<br>
Key job responsibilities<br>
Data-as-a-Product Delivery<br>
<ul><li>Own end-to-end accountability for data pipelines from ingestion to consumption</li><li>Deliver data pipelines with clear SLAs, quality metrics, and customer satisfaction measures</li><li>Build self-service platforms with embedded governance, lineage, and discovery</li><li>Establish Gen AI powered data contracts and SLA's for reliable, versioned data consumption and meta data management
</li><li>Develop infrastructure for agentic AI systems with multi-agent orchestration</li></ul><br>
AWS Infrastructure &amp; Pipeline Engineering<br>
<ul><li>Manage AWS resources: S3, Redshift, Kinesis, SageMaker, Bedrock</li><li>Build high-quality pipelines supporting BIE's, TIPMS and AI agents</li><li>Implement CDC and event-driven architectures for tracking data availability</li><li>Deploy infrastructure-as-code using CDK/Terraform</li></ul><br>
About the team<br>
AWS Global Network delivery Team supports all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><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, Global Network Delivery

AverIQ

<p>Design and implement data architecture leveraging technologies such as Databricks, Unity Catalog, Privacera, and Collibra.</p><p>Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality.</p><p>Design and maintain data models and schemas, incorporating Unity Catalog and Collibra data governance practices.</p><p>Ensure data security and compliance with regulations using Databricks and Privacera's features.</p><p>Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices.</p><p>Operationalize Machine Learning models in Batch and Real Time Data Pipelines, leveraging relevant governance setups.</p><p>Collaborate with cross-functional teams including data scientists, engineers, and analysts to translate business requirements into scalable solutions</p><p>Job Type: Contract</p><p>Pay: Up to $50.00 per hour</p><p>People with a criminal record are encouraged to apply</p><p>Location:</p><ul><li>Seattle, WA 98101 (Preferred)</li></ul><p>Work Location: In person</p>

Data Platform Engineer - Databricks and Unity Catalog

Apple

<p>Imagine shaping how millions of people discover content they love on the App Store, Apple Music, and Apple TV+. Our team is responsible for the intelligence that powers these deeply personal experiences.<br>
<br>
We are at a pivotal moment, defining the next generation of personalization. We build the foundational capabilities that empower product and research teams to deliver hyper-personalized experiences while maintaining an uncompromising commitment to user privacy. We believe that deep personalization shouldn't require compromising user trust, and we are pioneering the decentralized data systems to prove it.<br>
<br>
<b>Description</b><br>
<br>
This is not a standard Data Engineering or Machine Learning role. We are looking for a pioneering engineer to join our team. You will build the systems that securely process, combine, and deliver the critical user and content signals needed for personalization, spanning from edge devices to cloud backends. You will engineer high-performance stacks that transform raw data into governed, discoverable intelligence, ensuring that machine learning models can seamlessly and securely access the right user and content signals regardless of where that data physically resides.&quot;,&quot;responsibilities&quot;:&quot;Architect Hybrid Feature Resolution: Design and build the access layer that abstracts the physical location of data. Ensure that inference systems can seamlessly access real-time on-device context, cloud-based service history, and content metadata through a unified, familiar API.<br>
<br>
Engineer Signal Fusion: Build robust, petabyte-scale pipelines that ingest and fuse disparate signals into coherent user profiles and rich content representations.<br>
<br>
Architect the Semantic Data Layer: Transform raw data into the high-value signals that train our next-generation ML models. Architect the systems that generate this data and seamlessly integrate it with our training infrastructure.<br>
<br>
Optimize for Privacy &amp; Scale: Build highly optimized stacks that extend existing data systems into privacy-constrained environments. Implement data minimization strategies to securely leverage rich user signals without compromising trust.<br>
<br>
Cross-Functional Innovation: Partner closely with data systems teams, core compute engineers, and ML teams to ensure the right context is delivered to the right compute environment at the exact right time.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Hybrid/Edge Computing: Experience building systems that bridge cloud backend systems with on-device or edge compute environments.<br>
<br>
Embeddings &amp; Vector Search: Familiarity with generating, managing, and serving dense embeddings for retrieval, ranking, and personalization systems.<br>
<br>
Data Governance: Experience building semantic layers, data catalogs, or implementing compliance-by-design in a regulated environment.<br>
<br>
Privacy-Preserving Tech: Passion for privacy and an understanding of data minimization strategies, secure enclaves, or Privacy-Enhancing Technologies (PETs).<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
BS or MS in Computer Science, Data Engineering, Software Engineering, or a related field.<br>
<br>
Senior-Level Experience: A proven track record of shipping complex, large-scale data engineering, feature serving, or machine learning systems to production.<br>
<br>
Mastery of Big Data &amp; Serving: Expertise in designing distributed data processing systems using technologies like Spark and Flink, and building low-latency, high-throughput data serving layers or Feature Stores.<br>
<br>
Strong Software Engineering: Deep proficiency in Java or Go for building high-performance production backend systems, and Python for model training ecosystems.<br>
<br>
Strategic Data Mindset: Demonstrated experience thinking critically about data architecture, including data ontology, discoverability, and bridging distributed data sources.<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Software Engineer, Data & Machine Learning Systems

Explore 252+ Data engineer in Seattle this March. Find roles across top companies and apply now to boost your career.