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Data Engineer, Product Analytics

Amazon

<div>
 
 Description
 
 
 
 Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.
 
 
 By applying to this position, your application will be considered for all Data Engineer roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle, Bellevue, Redmond), Greater Bay Area (San Francisco, Sunnyvale, Santa Clara), Greater DMV (DC, MD, VA), Austin (TX), New York City (NY), Minneapolis (MN).
 
 
 You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.
 
 
 Start dates for our internships in this posting include
 
 
 dates in August or September 2026.
 
 
 Do you love building data pipelines? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you want to help solve big data warehousing problems, and partner with stakeholders to understand how to best design and implement data solutions that provide answers to key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet?
 
 
 If this describes you, consider joining us as an as Amazon is looking for a data engineer intern to join one our many lines of business. Amazon interns have the opportunity to work alongside the industry&rsquo;s brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.
 
 
 Key job responsibilities
 
 
 
 As a Data Engineer Intern, You Will/may
 
 
 
 <ul>
 <li>
 Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.
 </li>
 <li>
 Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
 </li>
 <li>
 Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.
 </li>
 <li>
 Monitor and troubleshoot operational or data issues in the data pipelines.
 </li>
 <li>
 Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
 </li>
 <li>
 Develop code based automated data pipelines able to process millions of data points.
 </li>
 <li>
 Improve database and data warehouse performance by tuning inefficient queries.
 </li>
 <li>
 Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.
 </li>
 <li>
 Provide assistance with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.
 
 
 </li>
 </ul>
 A day in the life
 
 
 Our internship program provides hands-on learning and building experiences for students who are interested in a career in data engineering. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your internship and learn in a real-world setting.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Are 18 years of age or older
 </li>
 <li>
 Work 40 hours/week minimum and commit to 12 week internship maximum
 </li>
 <li>
 Are enrolled in a academic program that is physically located in the United States
 </li>
 <li>
 Experience with data transformation
 </li>
 <li>
 Experience with database, data warehouse or data lake solutions
 </li>
 <li>
 Experience with SQL
 </li>
 <li>
 Experience with one or more scripting language (e.g., Python, KornShell, Scala)
 </li>
 <li>
 Currently enrolled in or will receive a Bachelor&rsquo;s Degree, Master's Degree, or advanced technical degree in Computer Science, Computer Engineering, Information Management, Information Systems, or an equivalent technical discipline with an expected conferral date between October 2026 &ndash; December 2029.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AWS
 </li>
 <li>
 Experience building data pipelines or automated ETL processes
 </li>
 <li>
 Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
 </li>
 <li>
 Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
 </li>
 <li>
 Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project
 </li>
 <li>
 Experience from previous technical internship(s) or demonstrated project experience
 </li>
 <li>
 Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model
 
 
 </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.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
 
 
 USA, WA, Seattle - 101,300.00 - 160,000.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A10399655
</div>

Data Engineer Internship - Fall 2026 (US)

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Prime Video is disrupting the traditional television and movie industry with a massive library of high-quality media and reliable digital delivery. Our services are engineered for high availability, maximum reach, and cost savings we can pass on to customers. We enable the world to watch video instantly, from any device, whether on the road or from the comfort of a living room sofa.
 
 
Prime Video's Catalog &amp; Data Platform (CDP) is the authoritative source of truth for every title available to hundreds of millions of customers across 249 territories &mdash; across Subscription and TransActional VOD, Channels, Linear, Live Sports and beyond. We drive the full content supply chain: from content and rights ingestion and processing, through product and offer distribution to every PV surface (Browse, Search, Fire TV, Web, Mobile, 3P Living Room devices, Google, Apple and other affiliates). 
We are hiring an DE-II to help build the next generation of our Distribution platform. You will design and deliver systems that process billions of content requests and catalog queries daily, and ensure every customer in every territory sees the right content with the right offer at the right time. Your work directly impacts whether a customer in Mumbai can watch the latest season of a show, whether a partner in Tokyo can launch content across territories simultaneously, and whether Prime Video's storefront renders the correct experience for 100s of millions of active streamers worldwide. 
 
The systems you will design and build are high performance distributed systems capable of enabling the growth of Prime Video global business. Innovation is key on this team and we are looking for technically savvy individuals with the ability to think big &amp; deliver simple solutions to complex problems. 
 
At Amazon, every employee has the opportunity to positively impact millions of customers, and you will be called on to identify and realize these opportunities. Our team works end-to-end through the Video platform, and our team members have direct ownership of the customer experience.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</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">
PREFERRED QUALIFICATIONS</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> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, Content And Data Platform

Shannon & Wilson

<div>
 Job Type
 
 
 Full-time
 
 
 
 Description
 
 
 
 Shannon &amp; Wilson is a leading geotechnical engineering firm dedicated to delivering innovative solutions in infrastructure, transportation, and environmental projects. As part of our digital transformation journey, we are investing in modern data platforms and analytics capabilities to support better decision-making and operational excellence.
 
 
 
 Job Summary
 
 
 
 We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our engineers, supporting staff, and leadership have reliable, trusted access to data for project delivery, reporting, and strategic insights.
 
 
 
 Responsibilities
 
 
 
 
 Platform Operations &amp; Maintenance
 
 
 
 <ul>
 <li>
 Administer and monitor Microsoft Fabric (or Azure Synapse/Lakehouse), Azure SQL Databases, and Power BI workspaces.
 </li>
 <li>
 Ensure data pipelines, notebooks, and scheduled refreshes run reliably and on time.
 </li>
 <li>
 Implement monitoring, alerting, and cost optimization strategies for the platform.
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Integration
 
 
 
 <ul>
 <li>
 Build, maintain, and optimize ingestion pipelines from internal systems (ERP, project management software) and external data sources.
 </li>
 <li>
 Design and maintain clean, curated data models to support reporting and analytics needs.
 </li>
 <li>
 Collaborate with business analysts to ensure data structures meet business requirements.
 
 
 </li>
 </ul>
 
 Governance &amp; Security
 
 
 
 <ul>
 <li>
 Apply data governance standards for naming conventions, schema design, and access control.
 </li>
 <li>
 Work with IT to enforce security policies, manage permissions, and ensure compliance with client and regulatory requirements.
 
 
 </li>
 </ul>
 
 Continuous Improvement
 
 
 
 <ul>
 <li>
 Stay current with Microsoft&rsquo;s data platform capabilities (Fabric, Power BI, Azure Data Factory, etc.).
 </li>
 <li>
 Recommend new features, automation, or process improvements to enhance reliability and usability.
 </li>
 <li>
 Partner with stakeholders to identify and implement new use cases for analytics and reporting.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related field (or equivalent experience).
 </li>
 <li>
 Must have 3+ years of experience with Microsoft data stack (Azure SQL Database, Azure Data Factory, Synapse, Power BI, or Fabric).
 </li>
 <li>
 Strong SQL development skills and experience with data modeling (star/snowflake schema) required.
 </li>
 <li>
 Hands-on experience with ETL/ELT pipelines and automation scheduling required.
 </li>
 <li>
 Familiarity with cloud-based data security and access control practices.
 </li>
 <li>
 Experience with Microsoft Fabric Lakehouse and Mirrored Databases preferred.
 </li>
 <li>
 Familiarity with engineering or construction industry data (projects, cost, schedule) preferred.
 </li>
 <li>
 Python or Spark experience for data transformation preferred.
 </li>
 <li>
 Knowledge of DevOps/Git-based version control for data pipelines preferred.
 </li>
 <li>
 Strong collaboration skills &ndash; able to work with project managers, analysts, and IT staff.
 </li>
 <li>
 Excellent troubleshooting and problem-solving skills.
 </li>
 <li>
 Continuous improvement mindset with willingness to learn and adopt new technologies.
 </li>
 <li>
 Clear communication skills (both technical and business-oriented).
 
 
 </li>
 </ul>
 
 Level Placement
 
 
 
 Typically, depending on an applicant&rsquo;s education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, an Entry-Level Data Engineer typically would be placed at a Shannon &amp; Wilson Professional I, II, III, or IV level with annual compensation ranging from $90,000 - $120,000.
 
 
 Shannon &amp; Wilson is committed to providing a comprehensive total rewards package that includes the following benefits:
 
 
 <ul>
 <li>
 Employee stock ownership
 </li>
 <li>
 Medical, prescription, vision, dental, long-term care and life insurance plans are offered to employees (and their families).
 </li>
 <li>
 Pre-tax health and daycare FSA
 </li>
 <li>
 Profit sharing and 401(k) plans with annual safe-harbor contributions
 </li>
 <li>
 10 - 20 paid vacation days per year for full-time employees, based on years of experience (prorated for part-time employment)
 </li>
 <li>
 Sick leave accrues based on state requirements
 </li>
 <li>
 9 paid holidays per year + 1 personal holiday
 </li>
 <li>
 Paid volunteer day
 </li>
 <li>
 Paid time off for bereavement and jury duty
 </li>
 <li>
 Two weeks of paid parental leave
 </li>
 <li>
 Lunch &amp; Live wellness webinars and an Employee Assistance Program
 </li>
 <li>
 Mentorship Program
 </li>
 <li>
 Tuition Reimbursement
 </li>
 <li>
 Free parking
 
 
 </li>
 </ul>
 
 Shannon &amp; Wilson is an Equal Opportunity Employer
 
 
 
 
 Shannon &amp; Wilson participates in the E-Verify program.
 
 
 
 
 Please note that non-solicited resumes from external recruitment agencies will not be considered as introductions to our business, unless a preapproved agreement is in place and the external recruitment agency has been engaged to work on this specific vacancy.
 
 
 
 Salary Description
 
 
 $90,000 - $120,000 per year
</div>

Data Engineer

Shannon & Wilson Inc.

<div>Description:

Shannon &amp; Wilson is a leading geotechnical engineering firm dedicated to delivering innovative solutions in infrastructure, transportation, and environmental projects. As part of our digital transformation journey, we are investing in modern data platforms and analytics capabilities to support better decision-making and operational excellence.
Job Summary:
We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data platform (Microsoft Fabric, Azure SQL, Power BI, etc.). This role will be instrumental in ensuring that our engineers, supporting staff, and leadership have reliable, trusted access to data for project delivery, reporting, and strategic insights.
Responsibilities:
 Platform Operations &amp; Maintenance<ul><li>Administer and monitor Microsoft Fabric (or Azure Synapse/Lakehouse), Azure SQL Databases, and Power BI workspaces.</li><li>Ensure data pipelines, notebooks, and scheduled refreshes run reliably and on time.</li><li>Implement monitoring, alerting, and cost optimization strategies for the platform.</li></ul>
 Data Engineering &amp; Integration<ul><li>Build, maintain, and optimize ingestion pipelines from internal systems (ERP, project management software) and external data sources.</li><li>Design and maintain clean, curated data models to support reporting and analytics needs.</li><li>Collaborate with business analysts to ensure data structures meet business requirements.</li></ul>
 Governance &amp; Security<ul><li>Apply data governance standards for naming conventions, schema design, and access control.</li><li>Work with IT to enforce security policies, manage permissions, and ensure compliance with client and regulatory requirements.</li></ul>
 Continuous Improvement<ul><li>Stay current with Microsoft&rsquo;s data platform capabilities (Fabric, Power BI, Azure Data Factory, etc.).</li><li>Recommend new features, automation, or process improvements to enhance reliability and usability.</li><li>Partner with stakeholders to identify and implement new use cases for analytics and reporting.</li></ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related field (or equivalent experience).</li><li>
Must have 3+ years of experience with Microsoft data stack (Azure SQL Database, Azure Data Factory, Synapse, Power BI, or Fabric).</li><li>
Strong SQL development skills and experience with data modeling (star/snowflake schema) required.</li><li>
Hands-on experience with ETL/ELT pipelines and automation scheduling required.</li><li>
Familiarity with cloud-based data security and access control practices.</li><li>
Experience with Microsoft Fabric Lakehouse and Mirrored Databases preferred.</li><li>
Familiarity with engineering or construction industry data (projects, cost, schedule) preferred.</li><li>
Python or Spark experience for data transformation preferred.</li><li>
Knowledge of DevOps/Git-based version control for data pipelines preferred.</li><li>
Strong collaboration skills &ndash; able to work with project managers, analysts, and IT staff.</li><li>
Excellent troubleshooting and problem-solving skills.</li><li>
Continuous improvement mindset with willingness to learn and adopt new technologies.</li><li>
Clear communication skills (both technical and business-oriented).</li></ul>
Level Placement:
Typically, depending on an applicant&rsquo;s education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, an Entry-Level Data Engineer typically would be placed at a Shannon &amp; Wilson Professional I, II, III, or IV level with annual compensation ranging from $90,000 - $120,000.
Shannon &amp; Wilson is committed to providing a comprehensive total rewards package that includes the following benefits:
<ul><li>Employee stock ownership
</li><li>Medical, prescription, vision, dental, long-term care and life insurance plans are offered to employees (and their families).
</li><li>Pre-tax health and daycare FSA
</li><li>Profit sharing and 401(k) plans with annual safe-harbor contributions
</li><li>10 - 20 paid vacation days per year for full-time employees, based on years of experience (prorated for part-time employment)</li><li>
Sick leave accrues based on state requirements</li><li>
9 paid holidays per year + 1 personal holiday
</li><li>Paid volunteer day
</li><li>Paid time off for bereavement and jury duty
</li><li>Two weeks of paid parental leave
</li><li>Lunch &amp; Live wellness webinars and an Employee Assistance Program</li><li>
Mentorship Program</li><li>
Tuition Reimbursement</li><li>
Free parking
</li></ul>Shannon &amp; Wilson is an Equal Opportunity Employer
Shannon &amp; Wilson participates in the E-Verify program.
Please note that non-solicited resumes from external recruitment agencies will not be considered as introductions to our business, unless a preapproved agreement is in place and the external recruitment agency has been engaged to work on this specific vacancy.</div>

Sparq

<div>
 At Sparq, we help companies solve the right problems&mdash;not just build more technology.
 
 
 We&rsquo;re a modern product engineering partner blending strategy, craftsmanship, and speed to help organizations modernize confidently in the age of AI. From data ecosystems to digital products and AI acceleration, we turn complexity into clarity and ideas into impact.
 
 
 If you&rsquo;re driven to build what&rsquo;s next, lead with empathy, and deliver excellence without ego, you&rsquo;ll feel right at home at Sparq.
 
 
 
 
 
 This opportunity will be on-site with our client
 
 
 
 
 
 
 
 C2C is not available
 
 
 
 
 
 
 Must be authorized to work in the U.S. without sponsorship
 
 
 
 
 
 Why You Will Enjoy Mondays Again
 
 
 
 <ul>
 <li>
 Opportunity to collaborate with a diverse group of colleagues in a fun, creative environment
 </li>
 <li>
 Progressive career journey and opportunity for advancement
 </li>
 <li>
 Continuous development through training, mentorship and certification programs
 </li>
 <li>
 Exposure to modern technologies across various industries in an agile environment
 </li>
 <li>
 Competitive salary + bonus opportunities
 </li>
 <li>
 Robust benefits package, matching 401(k) plan, and substantial PTO
 </li>
 <li>
 Tuition reimbursement
 
 
 </li>
 </ul>
 
 A Day In The Life
 
 
 
 <ul>
 <li>
 Develop and maintain scalable data pipelines to ensure the seamless flow of information across the organization.
 </li>
 <li>
 Troubleshoot and resolve issues within the existing ETL infrastructure and data warehousing components to minimize downtime.
 </li>
 <li>
 Design and deploy interactive dashboards in AWS QuickSight to provide stakeholders with real-time business insights.
 </li>
 <li>
 Proactively identify and automate manual data workflows to improve overall data quality and operational efficiency.
 </li>
 <li>
 Implement architectural optimizations to enhance the performance, reliability, and scalability of the current data stack.
 </li>
 <li>
 Document data models, pipeline designs, and operational procedures to ensure long-term knowledge sharing and maintenance.
 </li>
 <li>
 Collaborate on technical improvements using strong engineering discipline, including Git version control and peer code reviews.
 
 
 </li>
 </ul>
 
 What It Takes
 
 
 
 <ul>
 <li>
 3+ years of data engineering experience with a proven track record of building and optimizing scalable data pipelines.
 </li>
 <li>
 Advanced proficiency in SQL and Python for complex data modeling, transformation, and process automation.
 </li>
 <li>
 Hands-on experience with AWS Cloud Services, particularly QuickSight for visualization and ECS/EKS for containerized architectures.
 </li>
 <li>
 Strong software engineering discipline, including experience with testing frameworks and collaborative development in Git.
 </li>
 <li>
 Ability to manage and manipulate data within Smartsheet and integrate it into broader analytical workflows.
 </li>
 <li>
 Sharp problem-solving skills focused on identifying performance bottlenecks and streamlining data delivery.
 </li>
 <li>
 Clear technical communication skills for documenting complex system designs and operational logic.
 
 
 </li>
 </ul>
 
 Salary
 
 
 
 We consider a variety of factors when making compensation decisions. We share this to ensure transparency and set expectations for those
 
 
 considering opportunities with us.
 
 
 <ul>
 <li>
 The beginning salary range for this role is $90-110K
 
 
 </li>
 </ul>
 Regardless of your specific role, we seek individuals who are excited to explore, adopt, and evangelize AI tools and methodologies. If you have experience in AI or a proven track record of rapidly learning and mentoring others on emerging tech, you&rsquo;ll fit right in.
 
 
 
 
 Equal Employment Opportunity Policy: Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic.
 
 
 
 
 
 
 We are committed to providing equal employment opportunities and believe in an inclusive workplace. If you require reasonable accommodations to participate in the job application or interview process, please let us know by contacting recruiting@teamsparq.com
 
 
 
 
 LI-ONSITE
 
 
 
 The Pay Range For This Role Is
 
 
 
 90,000 - 110,000 USD per year(Seattle, WA)
</div>

Data Analyst

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Tablet Data Foundations and Insights team is looking for motivated self-starters who can work in a fast paced, data-driven environment. The successful candidate will be an analytical problem solver, have an extremely high level of customer focus and a passion for data based recommendations and decision making. 
As you further your career as a Business Intelligence Engineer with Amazon Devices, you will focus on improving the success of our business. You will analyze customer satisfaction, study behaviors that lead to high-value actions, discover and solve real world problems and build metrics and business cases to improve the customers experience. We are focused on your success and want to build strong leaders within our organization. You can expect to leverage your analytical skills and have full ownership of the projects you work on. 
Successful candidates will demonstrate our leadership principles: a bias for action, deep dive, attention to details, ownership and customer-obsession. 
 
Key job responsibilities 
In this role you will: 
<ul><li>Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format</li><li>Put on your marketing cap to drive insights and action we can take to improve the customer experience</li><li>Measure the key metrics of our business and propose/implement projects to improve these metrics</li></ul></div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>1+ years of SQL, ETL or Oracle experience</li><li>1+ years of processing large, multi-dimensional datasets from multiple sources experience</li><li>1+ years of performing statistical analysis experience</li><li>1+ years of developing automated reporting experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with data modeling, warehousing and building ETL pipelines</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift</li><li>Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets</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. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually</div>

Business Intelligence Engineer, Fire Tablets

Explore 32+ Etl developer in Seattle this May. Find roles across top companies and apply now to boost your career.

32 etl developer jobs In Seattle

Data Engineer, Product Analytics

Data Engineer Internship - Fall 2026 (US)

Data Engineer, Content And Data Platform

Data Engineer

Data Engineer

Data Analyst

Business Intelligence Engineer, Fire Tablets