data engineer intern

Taraki

<div>
 This Job is posted by Taraki on behalf of its client, PostEx. Candidates can apply here and also check out more jobs directly on our website.
 <br/>
 <br/>
 <strong>
  JOB DETAILS
  <br/>
  <br/>
 </strong>
 PostEx is a hybrid of receivables factoring solution and courier service that pays invoice values upfront to E-commerce companies offering Cash on Delivery as one of their modes of payment.
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 <br/>
 We are on a journey to make access to capital smooth and instantaneous as we have transformed conventional logistics into modernized delivery with instant and upfront payments.
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 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We are looking for a
 <strong>
  motivated Data Engineer Intern
 </strong>
 to support our data team in building, maintaining, and optimizing data pipelines. This role is ideal for
 <strong>
  fresh graduates
 </strong>
 who are passionate about data and eager to gain hands-on industry experience.
 <br/>
 <br/>
 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬
 <br/>
 <br/>
 Basic knowledge of
 <strong>
  SQL
 </strong>
 and databases
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 <br/>
 Understanding of
 <strong>
  Python
 </strong>
 or similar programming language
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 Familiarity with data concepts (ETL, data pipelines)
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 Strong analytical and problem-solving skills
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 <br/>
 Willingness to learn and grow
 <br/>
 <br/>
 <strong>
  <em>
   𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧:
   <br/>
   <br/>
  </em>
 </strong>
 Bachelors degree in
 <strong>
  Computer Science, Software Engineering, Data Science
 </strong>
 , or related field
</div>


Data Engineer Intern - PostEx

TikTok

<div>
 <strong>
  Responsibilities
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  <br/>
 </strong>
 We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.
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 <br/>
 Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks.
 <br/>
 <br/>
 Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date).
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 <br/>
 <strong>
  Summer Start Dates
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   May 11th, 2026
  </li>
  <li>
   May 18th, 2026
  </li>
  <li>
   May 26th, 2026
  </li>
  <li>
   June 8th, 2026
  </li>
  <li>
   June 22nd, 2026
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Team Introduction
  <br/>
  <br/>
 </strong>
 As a data engineer in the Data Platform E-Commerce team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
 <br/>
 <br/>
 Online Assessment
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 <br/>
 Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.
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 <strong>
  Responsibilities - What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis);
  </li>
  <li>
   Design and implement reliable, scalable, robust and extensible big data systems that support core products and business;
  </li>
  <li>
   Establish solid design and best engineering practice for engineers as well as non-technical people.
   <br/>
   <br/>
  </li>
 </ul>
 By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
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 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Minimum Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Currently pursuing an Undergraduate/Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  </li>
  <li>
   Able to commit to working for 12 weeks during Summer 2026
  </li>
  <li>
   Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.);
  </li>
  <li>
   Experience with performing data analysis, data ingestion and data integration;
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications
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 <br/>
 <ul>
  <li>
   Experience with ETL(Extraction, Transformation &amp; Loading) and architecting data systems;
  </li>
  <li>
   Experience with schema design, data modeling and SQL queries;
  </li>
  <li>
   Passionate and self-motivated about technologies in the Big Data area.
  </li>
  <li>
   Graduating December 2026 onwards with the intent to return to degree program after the completion of the internship.
   <br/>
   <br/>
  </li>
 </ul>
 Job Information
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 <br/>
 【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
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 <br/>
 The hourly rate range for this position in the selected city is $45- $45.
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 Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
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 The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
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 <strong>
  For Los Angeles County (unincorporated) Candidates
  <br/>
  <br/>
 </strong>
 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
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 <br/>
 <ul>
  <li>
   Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
  </li>
  <li>
   Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
  </li>
  <li>
   Exercising sound judgment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About TikTok
  <br/>
  <br/>
 </strong>
 TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
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 <br/>
 Why Join Us
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 <br/>
 Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
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 <br/>
 We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
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 <br/>
 Diversity &amp; Inclusion
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 <br/>
 TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
 <br/>
 <br/>
 TikTok Accommodation
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 <br/>
 TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
</div>


Data Engineer Intern (E-commerce) - 2026 Summer (BS/MS)

NeuraMach.AI

<p><b>Job Description:</b> Backend &amp; Database Engineer Intern</p><p><b>Company:</b> NeuraMach AI</p><p><b>Location:</b> Baner, Pune (In-Office)</p><p><b>Timings:</b> 10:00 AM &ndash; 8:00 PM</p><p><b>Work Schedule:</b> Sundays off | 2nd &amp; 4th Saturdays off</p><p><b>The Role</b></p><p>At NeuraMach AI, data is the heartbeat of our AI models. We are looking for a Database-focused Software Engineer Intern to help architect, optimize, and protect our data layers. You will be responsible for ensuring our FastAPI backend communicates flawlessly with our data stores, with a heavy focus on PostgreSQL and DynamoDB. You won't just be writing queries; you will be building automated validation systems to ensure our data remains consistent and our queries remain lightning-fast.</p><p><b>Key Responsibilities</b></p><p>● Database Development: Design and maintain complex schemas in PostgreSQL.</p><p>● NoSQL Integration: Implement and optimize data storage patterns in AWS DynamoDB.</p><p>● API Development: Build high-performance FastAPI endpoints that handle heavy data operations.</p><p>● Data Automation &amp; QA: Create automated scripts to validate data migrations and ensure zero data loss or corruption.</p><p>● Performance Tuning: Write and automate &quot;Stress Tests&quot; for our databases to identify slow queries and indexing issues.</p><p>● AI Data Prep: Work with the ML team to ensure training data flowing from the DB is accurate and well-structured. Technical Requirements</p><p>● SQL Expert (Primary): Strong proficiency in PostgreSQL (Joins, Indexing, Transactions).</p><p>● NoSQL Focus (Secondary): Familiarity with DynamoDB or other NoSQL architectures.</p><p>● Backend: Strong proficiency in Python and an understanding of ORMs (like SQLAlchemy or Tortoise).</p><p>● Testing Mindset: Ability to write automated tests to verify that data is correctly stored, retrieved, and transformed.</p><p>● Problem Solving: You enjoy optimizing a query to run in milliseconds rather than seconds.</p><p><b>What We Offer </b></p><p>● High-Scale Experience: Handle real-world data complexity for AI/ML applications.</p><p>● Professional Mentorship: Direct guidance on database architecture and cloud infrastructure.</p><p>● Prime Office Location: Work in our Baner, Pune hub.</p><p>● Merit-Based Growth: Top performers will be considered for future full-time roles based on impact and performance.</p><p><b>How to Apply</b></p><p>If you are a &quot;Data Architect&quot; in the making, we want to see your work.</p><p>Send your Resume and GitHub/Portfolio to: <b>Rutuja@neuramach.ai</b></p><p>Please use the subject line: Database Engineer Intern Application - [Your Name]</p><p>Job Types: Full-time, Internship<br/>Contract length: 6 months</p><p>Pay: ₹1,000.00 - ₹15,000.00 per month</p><p>Work Location: In person</p>

Backend & Database Engineer Intern

Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div><b>Req # </b></div><div>WD00095802
</div></div><div><div><b>Career Area: </b></div><div>Hardware Engineering
</div></div><div><div><b>Country/Region: </b></div><div>United States of America
</div></div><div><div><b>State: </b></div><div>North Carolina
</div></div><div><div><b>City: </b></div><div>Morrisville
</div></div><div><div><b>Date: </b></div><div>Monday, March 2, 2026
</div></div><div><div><b>Working Time: </b></div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>United States of America - North Carolina - Morrisville
</li></ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit <b>www.lenovo.com</b>, and read about the latest news via our <b>StoryHub</b>.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><p>The Quality Data Engineer Intern will support quality improvement initiatives by leveraging data analytics, quality engineering principles, and cross‑functional collaboration. This role partners closely with Quality, Product, Supplier Quality, and Operations teams to analyze field and manufacturing data, support the Quality Management System (QMS), and drive continuous product and process improvement. This internship offers hands‑on exposure to hardware quality, operational excellence, and data‑driven decision making.</p><p></p><p><b>
Key Responsibilities</b></p><ul>
<li>Support continuous improvement initiatives by helping maintain and enhance an effective Quality Management System (QMS)</li>
<li>Apply Operational Excellence and Lean/Six Sigma methodologies to improve processes and reduce field defects</li>
<li>Collect, analyze, and report quality KPI metrics to support data‑driven product and process improvements</li>
<li>Perform quality data analysis to identify trends, risks, and opportunities for improvement</li>
<li>Act as a customer advocate by supporting Product Ship activities and participating in daily quality roll‑up discussions</li>
<li>Collaborate with Supplier Quality Engineers on commodity quality topics and supplier failure analysis (FA) activities</li>
<li>Verify accuracy, structure, and categorization of storage and commodity data within analytics and reporting tools</li>
<li>Support Product Engineering teams by providing field quality and reliability data insights</li>
<li>Assist with technical quality assurance activities and quality reviews during product design and development phases</li>
<li>Coordinate and support Lessons Learned (FuPan) reviews and documentation</li>
<li>Work effectively with virtual, cross‑functional teams and communicate findings to engineering and management stakeholders</li>
</ul><p></p><p><b>Required Qualifications</b></p><ul>
<li>Currently pursuing or recently completed a Bachelor&rsquo;s degree Industrial Engineering, Quality Engineering, Business Operations, Project Management ro a related technical field</li>
<li>Exposure to or interest in Quality Engineering within manufacturing, service, or hardware development environments</li>
<li>Familiarity with server and storage hardware concepts (academic or internship experience acceptable)</li>
<li>Strong analytical and problem‑solving skills</li>
<li>Ability to interpret data and communicate insights clearly</li>
<li>Comfortable working in a team‑based, fast‑paced environment</li>
</ul><br>
</div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>United States of America - North Carolina - Morrisville</li></ul></div></div></div></div></div></div>

Quality Data Engineer - Summer 2026

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Application deadline: Applications will be accepted on an ongoing basis<br>
<br>
This opportunity is for U.S. citizens who have served in the U.S. Armed Forces including Reserves, National Guard, and service member spouses.
<br>
<br>
<ul><li>Please list your service in your resume to be considered for this position.</li></ul><br>
Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide?<br>
<br>
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.<br>
<br>
Our SDE interns use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDE interns solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years.
<br>
<br>
At Amazon, we believe in ownership at every level. As a SDE intern, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers.<br>
<br>
We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.<br>
<br>
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>
We will take your location preferences into consideration. Preferences are based on business availability and are not guaranteed. Applicants will be considered at all locations we host interns in the United States including but not limited to:
<br>
<br>
<ul><li>CA (Culver City, San Francisco, Santa Clara, Sunnyvale)
</li><li>CO (Denver)
</li><li>MA (Boston)
</li><li>NJ (Jersey City)
</li><li>NY (New York)
</li><li>VA (Arlington)
</li><li>WA (Bellevue, Seattle, Redmond)
</li></ul>***Locations are subject to change***<br>
<br>
During your application, you will have the opportunity to highlight your expertise in one or more of these specialized areas:<br>
<br>
&bull; Machine Learning &bull; Distributed Systems and Data Management &bull; Database Systems &bull; Quantum Computing &bull; Network Development &bull; Query Processing and Optimization &bull; Automated Reasoning &bull; Embedded Systems &bull; Data Engineering &bull; Mobile Development &bull; Game Development<br>
<br>
While team placement is based on business needs, sharing your specific skills and interests helps us better align your experience with potential roles.<br>
<br>
Key job responsibilities<br>
<ul><li>Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.</li><li>Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.</li><li>Participate in code reviews and contribute to technical documentation.</li><li>Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.</li><li>Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
</li><li>Write clean, maintainable code following best practices and design patterns.</li><li>Work in an agile environment practicing CI/CD principles while participating in operational responsibilities.</li><li>Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.</li></ul><br>
A day in the life<br>
As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career.
<br>
<br>
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 activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields</li><li>Expected conferral date between October 2026 &ndash; September 2029</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript</li><li>Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles</li><li>Experience from previous technical internship(s) or demonstrated project experience</li><li>Demonstrated ability to learn and adapt to new technologies quickly</li><li>Basic understanding of software development lifecycle (SDLC)</li><li>Strong problem-solving and analytical skills</li><li>Excellent written and verbal communication skills</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>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<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, CA, SAN FRANCISCO - 127,100.00 - 185,000.00 USD annually<br>
USA, CA, San Francisco - 127,100.00 - 185,000.00 USD annually<br>
USA, CA, Santa Clara - 122,600.00 - 170,000.00 USD annually<br>
USA, CA, Santa Clara - 127,100.00 - 185,000.00 USD annually<br>
USA, CO, DENVER - 110,500.00 - 160,000.00 USD annually<br>
USA, CO, Denver - 110,500.00 - 160,000.00 USD annually<br>
USA, MA, BOSTON - 110,500.00 - 160,000.00 USD annually<br>
USA, MA, Boston - 110,500.00 - 160,000.00 USD annually<br>
USA, NJ, Jersey City - 121,600.00 - 180,600.00 USD annually<br>
USA, NY, BROOKLYN - 121,600.00 - 180,600.00 USD annually<br>
USA, NY, Carle Place - 121,600.00 - 180,600.00 USD annually<br>
USA, NY, New York - 121,600.00 - 180,600.00 USD annually<br>
USA, VA, ARLINGTON - 110,500.00 - 160,000.00 USD annually<br>
USA, VA, Arlington - 110,500.00 - 160,000.00 USD annually<br>
USA, WA, Seattle - 110,500.00 - 160,000.00 USD annually</div><p></p>

Software Development Engineer Internship - Military Veteran

Cisco

<div>
 Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.
 <br/>
 <br/>
 Applications are accepted until further notice.
 <br/>
 <br/>
 <strong>
  Meet the Team
  <br/>
  <br/>
 </strong>
 Join a dynamic team of engineers and data scientists focused on building the next generation of intelligent systems. We work at the intersection of software engineering and machine learning, developing scalable pipelines and models that power Cisco&rsquo;s vast ecosystem. Our team thrives on collaboration, innovation, and the drive to turn complex data into seamless user experiences.
 <br/>
 <br/>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 As an AI/ML Modeling Engineer Intern, you will apply your foundational knowledge of computer science and mathematics to solve real-world challenges. You will work closely with senior engineers to support the machine learning lifecycle, from data acquisition and cleaning to model testing and deployment. This role offers the opportunity to gain hands-on experience with production-grade AI tools while contributing to projects that impact millions of users worldwide.
 <br/>
 <br/>
 <ul>
  <li>
   Support Model Development: Assist in the design, implementation, and testing of machine learning models to solve specific business or technical problems.
  </li>
  <li>
   Data Pipeline Engineering: Help build and maintain data preprocessing pipelines to ensure high-quality input for training and evaluation.
  </li>
  <li>
   Performance Evaluation: Conduct experiments to measure model accuracy and efficiency, using standard metrics to document and report findings.
  </li>
  <li>
   Collaborative Engineering: Work within an agile environment, participating in code reviews and contributing to the team&rsquo;s shared codebase and technical documentation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Data Science, Statistics, Electrical Engineering, or a related technical field.
  </li>
  <li>
   Strong foundational knowledge of programming languages such as Python, Java, or C++.
  </li>
  <li>
   Basic understanding of core machine learning concepts, including supervised and unsupervised learning, regression, and classification.
  </li>
  <li>
   Solid mathematical background in linear algebra, calculus, and probability/statistics.
  </li>
  <li>
   Experience using standard data analysis libraries such as NumPy, pandas, or Matplotlib through coursework or personal projects.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
  </li>
  <li>
   Familiarity with version control systems like Git and collaborative development environments.
  </li>
  <li>
   Basic knowledge of SQL and experience working with relational databases or structured data.
  </li>
  <li>
   Previous experience with Jupyter Notebooks for data exploration and visualization.
  </li>
  <li>
   Strong problem-solving skills and a passion for staying current with emerging AI and software engineering trends.
   <br/>
   <br/>
  </li>
 </ul>
 Why Cisco?
 <br/>
 <br/>
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 <br/>
 <br/>
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 <br/>
 <br/>
 We are Cisco, and our power starts with you.
 <br/>
 <br/>
 Message to applicants applying to work in the U.S. and/or Canada:
 <br/>
 <br/>
 Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
 <br/>
 <br/>
 U.S. employees are offered benefits, subject to Cisco&rsquo;s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
 <br/>
 <br/>
 U.S. employees are eligible for paid time away as described below, subject to Cisco&rsquo;s policies:
 <br/>
 <br/>
 <ul>
  <li>
   10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
  </li>
  <li>
   1 paid day off for employee&rsquo;s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
  </li>
  <li>
   Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
  </li>
  <li>
   Exempt employees participate in Cisco&rsquo;s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
  </li>
  <li>
   80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
  </li>
  <li>
   Additional paid time away may be requested to deal with critical or emergency issues for family members
  </li>
  <li>
   Optional 10 paid days per full calendar year to volunteer
   <br/>
   <br/>
  </li>
 </ul>
 For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco&rsquo;s policies.
 <br/>
 <br/>
 Employees On Sales Plans Earn Performance-based Incentive Pay On Top Of Their Base Salary, Which Is Split Between Quota And Non-quota Components, Subject To The Applicable Cisco Plan. For Quota-based Incentive Pay, Cisco Typically Pays As Follows
 <br/>
 <br/>
 <ul>
  <li>
   .75% of incentive target for each 1% of revenue attainment up to 50% of quota;
  </li>
  <li>
   1.5% of incentive target for each 1% of attainment between 50% and 75%;
  </li>
  <li>
   1% of incentive target for each 1% of attainment between 75% and 100%; and
  </li>
  <li>
   Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
   <br/>
   <br/>
  </li>
 </ul>
 For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
 <br/>
 <br/>
 The applicable full salary ranges for this position, by specific state, are listed below:
 <br/>
 <br/>
 <strong>
  New York City Metro Area
  <br/>
  <br/>
 </strong>
 $44,000.00 - $185,000.00
 <br/>
 <br/>
 <strong>
  Non-Metro New York State &amp; Washington State
  <br/>
  <br/>
 </strong>
 $44,000.00 - $185,000.00
 <br/>
 <br/>
 <ul>
  <li>
   For quota-based sales roles on Cisco&rsquo;s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
  </li>
  <li>
   Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
  </li>
 </ul>
</div>


AI/ML Modeling Engineer II (Intern)- United States

Vercel

<div></div><div><div><div><div><ul><li>Data</li><li>
Hybrid (San Francisco)</li><li>
Full Time</li></ul></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>
About Vercel:</b></h2><p>
Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web.
</p><p>Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things.</p></div><div></div><div><h2 class="jobSectionHeader"><b>
About the Team</b></h2><p>
The <b>Data Platform &amp; Engineering</b> team builds and operates the infrastructure, systems, and data foundations that power decision-making and intelligent workflows across Vercel.</p><p>
We design and maintain the data platform that enables analytics, experimentation, internal tooling, and emerging AI-powered agents. Our work provides the context and infrastructure behind company-wide interfaces, automation, and data-driven workflows.</p></div><div></div><div><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
We&rsquo;re looking for a <b>Summer Intern</b> to join the Data Platform &amp; Engineering team. This role is designed to flex across <b>Data Platform Engineering</b> and <b>Data Engineering</b>, depending on your strengths and interests.</p><p>
You&rsquo;ll work on foundational systems that power company-wide agents, internal tools, analytics environments, and operational workflows. This is an opportunity to contribute to high-impact infrastructure and data products used across the organization.</p><p>
You will:</p><ul><li><p>
Build and improve data pipelines using SQL and Python</p></li><li><p>
Contribute to the development and reliability of our data platform infrastructure</p></li><li><p>
Help design and model datasets that power analytics, internal tools, and AI-driven workflows</p></li><li><p>
Improve data quality, observability, and governance across systems</p></li><li><p>
Support the infrastructure and contextual data layers that enable company-wide agents and interfaces</p></li><li><p>
Partner with engineering, product, finance, and operations stakeholders to translate business needs into scalable data solutions</p></li></ul><p>
Depending on your focus, projects may lean more toward:</p><ul><li><p><b>
Data Engineering:</b> modeling, transformation, orchestration, analytics enablement</p></li><li><p><b>
Data Platform Engineering:</b> infrastructure, tooling, performance optimization, developer experience for data systems</p></li></ul></div><div></div><div><h2 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h2><ul><li><p>
Currently pursuing a <b>BS or MS in Computer Science, Data Science, or a related technical field</b></p></li><li><p>
Strong proficiency in <b>SQL and Python</b></p></li><li><p>
Solid understanding of data modeling principles and relational databases</p></li><li><p>
Familiarity with data pipelines, ETL/ELT concepts, or workflow orchestration</p></li><li><p>
Comfort working in a collaborative, fast-moving engineering environment</p></li><li><p>
Strong problem-solving skills and attention to detail</p></li><li><p>
Based in SF/Bay Area &amp; open to commuting to SFHQ 2-3 days a week</p></li></ul><p>
Nice to Have:</p><ul><li><p>
Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake, BigQuery, etc.)</p></li><li><p>
Exposure to cloud infrastructure (AWS, GCP, or similar)</p></li><li><p>
Experience working with large datasets or analytics systems</p></li><li><p>
Interest in AI/ML systems or agent-based workflows</p></li></ul></div><div></div><div><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Gain</b></h2><ul><li><p>
Real-world experience building production-grade data infrastructure</p></li><li><p>
Exposure to modern data platform architecture at scale</p></li><li><p>
The opportunity to shape systems that power decision-making and AI-driven workflows across Vercel</p></li><li><p>
Mentorship from experienced data and platform engineers</p></li><li><p>
A meaningful, scoped project with measurable impact</p></li></ul></div></div></div></div><p></p>

Data Platform & Engineering Intern

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