data engineer internship - fall 2026 (us)

business intelligence engineer, amazon music disco

aircraft maintenance technician - a&p mechanic

data engineer internship - fall 2026 (us) Jobs in Seattle

software engineer

aws data engineer

business intelligence engineer, amazon music disco Jobs in Seattle

data analyst i

data engineer

Shannon & Wilson

<div>
 Job Type
 <br/>
 <br/>
 Full-time
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Platform Operations &amp; Maintenance
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Engineering &amp; Integration
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Governance &amp; Security
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Continuous Improvement
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <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).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Level Placement
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 Shannon &amp; Wilson is committed to providing a comprehensive total rewards package that includes the following benefits:
 <br/>
 <br/>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Shannon &amp; Wilson is an Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 <strong>
  Shannon &amp; Wilson participates in the E-Verify program.
  <br/>
  <br/>
 </strong>
 <strong>
  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.
  <br/>
  <br/>
 </strong>
 Salary Description
 <br/>
 <br/>
 $90,000 - $120,000 per year
</div>


Data Engineer

BCforward

<div>
 <p>
  <strong>
   BCForward is currently seeking a highly motivated AWS Data Engineer for an On-site opportunity in Seattle, WA
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role: AWS Data Engineer
  </strong>
 </p>
 <p>
  <strong>
   Duration: 6+ months
  </strong>
 </p>
 <p>
  <strong>
   Locations: Seattle, WA
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Anticipated Start Date:
  </strong>
  04/13/2026
 </p>
 <p>
  <strong>
   Job Type:
  </strong>
  Contract &ndash; Onsite
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an AWS Data Engineer with strong experience in building and managing data solutions on AWS.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Skills:
  </strong>
  AWS (EC2, S3, RDS, VPC), Python, Redshift (Must Have), AWS Glue, Athena, Lambda
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Build and maintain data pipelines and AWS infrastructure
  </li>
  <li>
   Work with Redshift for data warehousing and querying
  </li>
  <li>
   Use Glue, Athena, and Lambda for data processing and automation
  </li>
  <li>
   Support cloud deployments, monitoring, and troubleshooting
  </li>
  <li>
   Ensure security and compliance standards are followed
  </li>
  <li>
   Assist in migrating data and applications to AWS
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits:
  </strong>
 </p>
 <p>
  BCforward offers all eligible employees a comprehensive benefits package, including, but not limited to, major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About BCforward:
  </strong>
 </p>
 <p>
  Founded in 1998 on the idea that industry leaders needed a professional service and workforce management expert to
 </p>
 <p>
  fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing
 </p>
 <p>
  unique solutions supporting value capture and digital product delivery needs for organizations around the world.
 </p>
 <p>
  Headquartered in Indianapolis, IN, with an Offshore Development Center in Hyderabad, India, BCforward&rsquo;s 6,000
 </p>
 <p>
  Consultants support more than 225 clients globally.
 </p>
 <p>
  BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our
 </p>
 <p>
  With core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients
 </p>
 <p>
  achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to
 </p>
 <p>
  become a market leader and best in class place to work.
 </p>
 <p>
  BCforward is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.
 </p>
 <p>
  To learn more about how BCforward collects and uses personal information as part of the recruiting process, view our Privacy Notice and CCPA Addendum. As part of the recruitment process, we may ask for you to disclose and provide us with various categories of personal information, including identifiers, professional information, commercial information, education information, and other related information. BCforward will only use this information to complete the recruitment process.
 </p>
 <p>
  This posting is not an offer of employment. All applicants applying for positions in the United States must be legally authorized to work in the United States. The submission of intentionally false or fraudulent information in response to this posting may render the applicant ineligible for the position. Any subsequent offer of employment will be considered employment at-will, regardless of the anticipated assignment duration.
 </p>
</div>


AWS Data Engineer

Tata Consultancy Services

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   6+ years of data engineering experience
  </li>
  <li>
   3+ year of experience working in a data engineering, data science, or software engineering capacity
  </li>
  <li>
   Expertise in writing and maintaining robust data pipelines in SQL and Python
  </li>
  <li>
   A track record of turning data requirements from stakeholders into actionable plans
  </li>
  <li>
   Experience with cloud-native solutions
  </li>
  <li>
   A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in data warehousing, data modelling, and building/maintaining ETL/ELT pipelines at scale.
  </li>
  <li>
   Extensive experience with AWS, Google Cloud Platform (GCP), or Azure.
  </li>
  <li>
   Proficiency in Apache Spark, Kafka, NoSQL databases, and orchestration tools like Apache Airflow.
  </li>
  <li>
   Strong skills in Python, Java, or Scala.
  </li>
  <li>
   Deep knowledge of SQL and, specifically, experience with Snowflake, Data bricks, or Redshift.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  TCS Employee Benefits Summary
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Discretionary Annual Incentive.
  </li>
  <li>
   Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
  </li>
  <li>
   Family Support: Maternal &amp; Parental Leaves.
  </li>
  <li>
   Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
  </li>
  <li>
   Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
  </li>
  <li>
   Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
  </li>
  <li>
   Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
   <br/>
   <br/>
  </li>
 </ul>
 Salary Range-$120,000-$144,000 a year
 <br/>
 <br/>
</div>


Data engineer

Third Sector Intelligence

<div>Description:
<p><b>
This is a fully REMOTE position.</b> <b><i>Only applicants who currently reside in California, Colorado, Oregon, and Washington State will be considered for this role</i></b><b><i>.</i></b></p><p><b>
About 3Si</b></p><p>
Third Sector Intelligence (3Si) is a mission-driven company that provides data and analytics solutions to support early childhood education programs. We are a small, high-performing, and rapidly growing 20-person company with team members in Washington, Colorado, California, and Oregon.</p><p>
We are looking for a passionate and talented Senior Data Engineer to join our team and help us make a real difference in the lives of children and families.</p><p><b>
About the Role</b></p><p>
This role is critical in directly impacting the company&rsquo;s mission to provide data-driven insights to improve early childhood education across the country.</p><p>
3Si is entering a period of significant growth and expansion, with several new contracts and expansions expected in 2026. This growth will require building and maintaining robust, scalable, and secure data pipelines.</p><p>
The Senior Data Engineer will help to automate operational tasks, improve data quality and consistency, and empower other teams to access and utilize data more effectively. The Senior Data Engineer will work closely with other data engineers and BI analysts to implement a vision for a more automated and user-friendly data platform that can be easily deployed to clients.</p><p><b>
Responsibilities</b></p><ul><li>
Design, build, and maintain robust and scalable data pipelines using Python and SQL.</li><li>
Contribute to the development of a modular platform architecture that supports client-specific customizations while maintaining a clean and efficient core system.</li><li>
Develop and implement automation for routine operational tasks, such as data ingestion and configuration management. This includes automating manual data uploading processes.</li><li>
Develop and maintain a comprehensive unit testing framework for ETL processes and data transformations to ensure data quality.</li><li>
Implement comprehensive logging, monitoring, and alerting mechanisms for all ETL processes and data transformations.</li><li>
Work directly with clients and cross-functional teams; strong communication skills and professionalism are essential.</li><li>
Provide guidance and mentorship to junior engineers to enhance their technical skills.</li></ul>
Requirements:
<h3 class="jobSectionHeader"><b>Requirements</b></h3><ul><li>
5+ years of experience as a Data Engineer or in a similar role.</li><li>
Strong programming skills in Python and SQL.</li><li>
Experience working with cloud environments for data storage, processing, and deployment.</li><li>
Experience with workflow orchestration tools.</li><li>
Experience with data modeling, ETL development, and data warehousing.</li><li>
Experience with unit testing and source control.</li><li>
Excellent communication and collaboration skills, including the ability to communicate technical concepts to non-technical audiences.</li><li>
Ability to work independently and as part of an agile team.</li><li>
Passion for data quality, automation, and building scalable systems.</li><li>
Experience working with large datasets from diverse sources.</li><li>
Ability to effectively prioritize tasks and manage time to meet deadlines.</li><li>
Strong problem-solving skills and a desire to learn and grow professionally.</li></ul><p><b>
Bonus Points</b></p><ul><li>
DevOps experience, including containerization and infrastructure-as-code.</li><li>
Understanding of cloud security, governance, and cost optimization.</li><li>
Experience building and maintaining APIs that facilitate data movement across systems.</li><li>
Experience developing and deploying ML pipelines, LLM models, and predictive analytics solutions.
</li><li>Experience working with early childhood education data.</li></ul><p><b>
Benefits</b></p><ul><li>
Be a part of a company experiencing significant growth and making a real difference.</li><li>
Work on a small, collaborative, and high-performing team.</li><li>
Make a direct impact on the company's success.</li><li>
Flexible remote work environment.</li><li>
Competitive salary and benefits package.</li></ul><p>
 <b>3Si Perks</b></p><p>
3Si offers a professional and fun work environment. We recognize and value our employees and strive to create a supportive environment for our team. Here are some of the &quot;perks&quot; we provide to ensure our employees can thrive:</p><ul><li>
Competitive compensation with base salary range of $135k - $165k, plus annual bonus plan.</li><li>
100% Company sponsored Medical, Dental, Vision, STD, EAP, and voluntary life/AD&amp;D plans.</li><li>
Paid Time Off starting at 3 weeks per year and 11 paid holidays.</li><li>
401k retirement plan + match.</li><li>
Home office stipend upon hire and annually every January thereafter.</li><li>
Career development opportunities.</li></ul><p><i>
3Si provides equal opportunity for all applicants without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, sexual orientation, veteran status, or any other basis protected by state or federal law.</i></p></div>

Senior Data Engineer

Data Engineer, Product Analytics

nSCALE

<p></p><div><div><div><div><div><p><b>About Nscale</b></p></div></div><div><br>
<div>
<p>Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.</p><br>
<p></p>
<p>
We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future.</p></div></div><br>
</div>
</div><p></p><div><div><div><div><p><b>About the Role (Job Purpose)</b></p></div></div><div><br>
<div>
<p>We're looking for a <b>Data Engineer</b> to help design, build, and operate the data foundations that underpin Nscale's platform, internal operations, and customer-facing capabilities.</p>
<p>
This is a <b>high-impact, early-stage role</b>. You'll work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw operational signals &mdash; from GPUs, clusters, customers, and internal systems &mdash; into reliable, scalable data products that ensure delivery at a previously unseen pace. You'll help define <i>how data is collected, modelled, served, and trusted</i> across the company, and have the opportunity to build on Palantir Foundry, as well as other products.</p>
<p>
This role is ideal for someone who enjoys building data systems from first principles, thrives in ambiguous environments, and wants to see their work directly influence product decisions, platform reliability, and customer outcomes.</p></div></div><br>
</div>
</div><p></p><div><div><div><div><p><b>What You'll be Doing (Responsibilities)</b></p></div></div><br>
<div>
<div><h4 class="jobSectionHeader"><b>Data Platform &amp; Architecture</b></h4>
<div><ul><li>Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems.</li></ul></div><div><ul><li><br>
Define data models and schemas that support operational workflows and use cases across the business, monitoring, and analytics.</li></ul></div><div><ul><li><br>
Clean, transform and structure the data to create a digital twin of Nscale.</li></ul></div><div><ul><li><br>
Implement permissioning and manage access and security of the Foundry implementation.</li></ul></div><h4 class="jobSectionHeader"><b><br>
Data Products &amp; Enablement</b></h4>
<div><ul><li>Create trusted datasets and metrics that power workflows and processes, internal tools, and customer-facing insights.</li></ul></div><div><ul><li><br>
Enable self-serve analytics by establishing clear data contracts, documentation, and semantic layers.</li></ul></div><div><ul><li><br>
Build use cases including but not limited to capacity planning, cost optimisation, reliability analysis, and customer reporting to drive our business forward.</li></ul></div><div><ul><li><br>
Collaborate with Product and Commercial teams to translate real-world questions into robust data solutions.</li></ul></div><h4 class="jobSectionHeader"><b><br>
Reliability, Quality &amp; Governance</b></h4>
<div><ul><li>Implement data quality checks, monitoring, and alerting to ensure data correctness and availability.</li></ul></div><div><ul><li><br>
Codify data lineage, freshness, and consistency across systems.</li></ul></div><div><ul><li><br>
Establish best practices around data versioning, access control, and governance appropriate for a fast-scaling company.</li></ul></div><div><ul><li><br>
Continuously improve system resilience and observability.</li></ul></div><h4 class="jobSectionHeader"><b><br>
Early-Stage Ownership &amp; Growth</b></h4>
<div><ul><li>Take end-to-end ownership of projects, from design through to production and iteration.</li></ul></div><div><ul><li><br>
Help define standards, tooling, and ways of working for data at Nscale.</li></ul></div><div><ul><li><br>
Contribute to technical decision-making as the company scales its platform and customer base.</li></ul></div><ul><li><br>
Act as a thought partner to engineers and operators, not just a service function.</li></ul></div></div><br>
</div>
</div><p></p><div><div><div><div><p><b>About You (Skills / Qualifications)</b></p></div></div></div><br>
<div>
<div><div><ul><li>Deep, hands-on experience building in <b>Palantir Foundry</b>, including ontology modelling, pipeline development, API integration, and large-scale data platform design.</li></ul>
<ul><li>Strong proficiency in <b>Python</b>, with experience applying data engineering libraries and frameworks (e.g. Spark, PySpark, Dask, pandas) to work with large, complex datasets.</li></ul>
<ul><li>Familiarity with <b>API-driven data integration</b>, including REST, GraphQL, and Foundry Action APIs.</li></ul>
<ul><li>Practical experience working in <b>Git-based development workflows</b>, including code reviews, version control, and CI/CD pipelines.</li></ul>
<ul><li>Comfort working in ambiguous, early-stage environments where requirements evolve quickly.</li></ul>
<ul><li>Strong communication skills &mdash; able to explain data concepts clearly to technical and non-technical stakeholders.</li></ul>
<ul><li>A bias toward ownership, pragmatism, and shipping useful solutions.</li></ul>
<p><b>
Nice to Have</b></p>
<ul><li>Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry.</li></ul>
<ul><li>Familiarity with distributed systems, monitoring data, or usage-based billing data.</li></ul>
<ul><li>Experience supporting customer-facing data products or platforms.</li></ul></div></div><br>
</div>
</div><p></p><div><div><div><div><p><b>What We Can Offer You</b></p></div></div></div><br>
<div>
<div><div><p>At Nscale, you'll find a <b>collaborative, supportive, and innovative environment</b> where your contributions spark real impact. We're building something extraordinary, and we want you at the core.</p>
<ul><li>Highly <b>competitive package</b> (base + equity) with <b>reviews every 12 months</b>.</li></ul>
<ul><li>Join the <b>fastest-growing tech startup</b>, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨</li></ul>
<ul><li>Expect a <b>dynamic progression plan</b> tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.</li></ul>
<ul><li><b>Human-First Flexibility:</b> We treat you as <b>humans first</b>. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.</li></ul>
<ul><li>Join our <b>thriving remote-first team</b>. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.</li></ul></div></div><br>
</div>
</div><p></p><div><div><div><div><p><b>Interview Process</b></p></div></div><p></p><div><div><br>
<ul><li>Phone screen</li></ul>
<ul><li>Coding interviews</li></ul>
<ul><li>Hiring Manager interview</li></ul></div></div></div></div><br>
<p>
</p><p></p><div><div><div><div><p><b>Equal Opportunities Statement</b></p></div></div><div><br>
<div>
<p>We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.</p>
<p>
If there's anything we can do to accommodate your specific situation, please let us know.</p>
<p>
The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.</p></div></div></div></div><br>
<p>
</p><p></p><div><p><i>For information on how Nscale handles candidate personal data, please see our Employee &amp; Candidate Privacy Notice: </i><i>Here.</i></p></div></div>

Data Engineer - Seattle, WA

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
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.
<br>
<br>
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).<br>
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.<br>
<br>
Start dates for our internships in this posting include
<br>
dates in August or September 2026.<br>
<br>
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?<br>
<br>
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.<br>
<br>
Key job responsibilities<br>
As a Data Engineer intern, you will/may:<br>
<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><br>
A day in the life<br>
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.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><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><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><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><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 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.</p><br>
USA, WA, Seattle - 101,300.00 - 160,000.00 USD annually</div><p></p>

Data Engineer Internship - Fall 2026 (US)

Explore 355+ Data engineer in Seattle this May. Find roles across top companies and apply now to boost your career.