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INTERNSHIP DETAILS

Data Engineering Intern

Company ALO

LocationSan Ramon

Work ModeOn Site

PostedFebruary 3, 2026

Internship Information

Core Responsibilities

Interns will build and optimize data pipelines for retail, inventory, and customer data, particularly using the AWS tool chain. They will also integrate and clean data from multiple sources and support analytics initiatives.

Internship Type

full time

Salary Range

$45 - $50

Company Size

5299

Visa Sponsorship

Language

English

Working Hours

40 hours

Apply Now →

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the company's application page

About The Company

We are ALO. We inspire mindful movement, wellness, and taking the consciousness of physical practice and meditation into the world - this is the real studio to street. We make technologically advanced activewear, scientifically forward, clean beauty & wellness solutions, and igniting movement & mindfulness content to bring more mind-body wellness to the world. Alo stands for Air, Land, Ocean. Behind everything we do is the intention to protect and respect our planet's resources with solar power and sweatshop-free, eco-aware production, our non profit has brought yoga and mindfulness to millions. Alo is a feeling. We see a tomorrow where the pursuit of happiness starts with one intentional breath, where health is wealth and where joining together to lift each other up changes the vibration of the world.

About the Role

<div class="content-intro"><p><strong>WHY JOIN ALO?</strong></p> <p>Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.</p></div><p><span class="TextRun SCXW19075335 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW19075335 BCX0">At ALO, we merge art, data, and mindfulness. </span><span class="NormalTextRun SCXW19075335 BCX0">You’ll</span><span class="NormalTextRun SCXW19075335 BCX0"> be part of a team shaping how technology enhances well-being and creativity—using data not just to </span><span class="NormalTextRun SCXW19075335 BCX0">optimize</span><span class="NormalTextRun SCXW19075335 BCX0">, but to inspire.</span></span><span class="EOP SCXW19075335 BCX0" data-ccp-props="{}"> </span></p> <p><strong>OVERVIEW</strong></p> <p><span class="TextRun SCXW218680768 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW218680768 BCX0">This internship sits at the crossroads of retail operations, customer experience, and data engineering.</span></span><span class="EOP SCXW218680768 BCX0" data-ccp-props="{}"> </span></p> <p>The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our office in San Ramon, CA.</p> <p><strong>RESPONSIBILITIES </strong><em> </em></p> <ul> <li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Build and </span><span data-ccp-parastyle="List Bullet">optimize</span><span data-ccp-parastyle="List Bullet"> data pipelines for retail, inventory, and customer </span><span data-ccp-parastyle="List Bullet">data</span><span data-ccp-parastyle="List Bullet"> especially using </span><span data-ccp-parastyle="List Bullet">AWS</span><span data-ccp-parastyle="List Bullet"> tool chain</span></span></li> <li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Integrate and clean data from multiple internal and third-party sources</span></span></li> <li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Support personalization, recommendation, and loyalty analytics initiatives</span></span></li> <li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Collaborate with Data Science and </span><span data-ccp-parastyle="List Bullet">MarTech</span><span data-ccp-parastyle="List Bullet"> teams on customer intelligence projects</span></span></li> <li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Enhance data reliability and timeliness for dashboards and models</span></span></li> </ul> <p><strong>REQUIRED QUALIFICATIONS</strong></p> <ul> <li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">BS or MS in Computer Science, Data Engineering, or related field</span></span></li> <li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Strong SQL and Python skills</span></span></li> <li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Experience with APIs, data ingestion, and transformation frameworks</span></span></li> <li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Familiarity with data warehouse concepts and performance tuning</span></span></li> </ul> <p><strong><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">PREFERRED QUALIFICATIONS</span></span></strong></p> <ul> <li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Experience with eCommerce or retail datasets</span></span></li> <li><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">Familiarity with customer segmentation or recommendation systems</span></span></li> </ul> <p><strong><span data-contrast="auto"><span data-ccp-parastyle="List Bullet">WHAT YOU'LL LEARN</span></span></strong></p> <p><span class="TextRun SCXW72309474 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW72309474 BCX0">You’ll</span><span class="NormalTextRun SCXW72309474 BCX0"> see how retail and digital ecosystems converge—and how well-designed data pipelines make that experience seamless.</span></span><span class="EOP SCXW72309474 BCX0" data-ccp-props="{}"> </span></p> <p>The base pay range for this position is $45/hr-50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.</p> <p> </p><div class="content-conclusion"><div class="c-scrollbar__hider" data-qa="slack_kit_scrollbar"> <div class="c-scrollbar__child"> <div class="c-virtual_list__scroll_container" data-qa="slack_kit_list"> <div id="1690839906.519949" class="c-virtual_list__item c-virtual_list__item--initial-activeitem" data-qa="virtual-list-item" data-item-key="1690839906.519949"> <div class="c-message_kit__background c-message_kit__background--hovered p-message_pane_message__message c-message_kit__message p-message_pane_message__message--last" data-qa="message_container" data-qa-unprocessed="false" data-qa-placeholder="false"> <div class="c-message_kit__hover c-message_kit__hover--hovered" data-qa-hover="true"> <div class="c-message_kit__actions c-message_kit__actions--default"> <div class="c-message_kit__gutter"> <div class="c-message_kit__gutter__right" data-qa="message_content"> <div class="c-message_kit__blocks c-message_kit__blocks--rich_text"> <div class="c-message__message_blocks c-message__message_blocks--rich_text" data-qa="message-text"> <div class="p-block_kit_renderer" data-qa="block-kit-renderer"> <div class="p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first"> <div class="p-rich_text_block"> <div class="p-rich_text_section">For CA residents, Job Applicant Privacy Policy <a class="c-link" href="https://cdn.shopify.com/s/files/1/2185/2813/files/CCPA_Workforce_Member_Privacy_Policy_-_Alo_Alo_INTL_IP_Inc._-_July_2025_-_CA_ONLY_1.pdf?v=1762796781" target="_blank" data-stringify-link="https://cdn.shopify.com/s/files/1/2185/2813/files/CCPA_Workforce_Member_Privacy_Policy_-_Alo_and_Bella_Canvas_-_June_2023_-_CA_ONLY.pdf?v=1687812344" data-sk="tooltip_parent">HERE</a>.</div> </div> </div> </div> </div> </div> </div> </div> <div class="c-message_actions__container c-message__actions"> </div> </div> </div> </div> </div> </div> </div> </div></div>

Key Skills

SQLPythonAPIsData IngestionTransformation FrameworksData WarehousePerformance Tuning