{"schemaVersion":"jobsearcher.job.v1","id":"4e4f799f94ea8871ea72da08","url":"https://jobsearcher.com/jobs/4e4f799f94ea8871ea72da08","canonicalUrl":"https://jobsearcher.com/jobs/4e4f799f94ea8871ea72da08","title":"Data Engineering Intern (Python, SQL, ETL)","description":"Remote · Part-time (15-20 hrs/week) · San Francisco Bay Area, CA · Unpaid / Academic CreditWhat You're Walking IntoKelvolta is an energy technology company focused on uncovering and capturing real, measurable cost savings for energy-intensive operations at large commercial and industrial sites. Our work spans cold storage, AI data centers, industrial manufacturing, EV charging, and other markets in which demand is growing fast and the economics of storage turn on behavior nobody has measured. The data behind all of it arrives messy, inconsistent, and rarely documented. Turning it into something analysts can rely on is the job. As a lean team, we operate close to the work, giving interns the opportunity to contribute to real, production-adjacent challenges.\"Learning to build things that actually matter in a startup where I'm constantly learning and adapting.\"— L. Sanchez, UC Santa BarbaraSkills You'll Put to Use and DevelopETL pipelines that ingest, clean, and structure real-world energy and operational datasetsPython-based analysis (pandas, numpy, matplotlib) on messy, real-world datasetsSQL queries against production databases to power analytics workflowsJudgment about data quality: deciding what a record is worth, what is safe to infer, and what has to be marked unknownWho We're Looking ForCurrently-enrolled (not graduated) students. Upper-division undergraduate or graduate students in Computer Science, Data Science, Statistics, or Engineering with hands-on experience in at least two of the following: Python, SQL, ETL/data pipelines.Past interns have come in with strong fundamentals and left with experience building production-level work. We care more about what you can do than what year you're in.What You GetHands-on experience working on real projects with meaningful impactOpportunities to take ownership and contribute to production-level workDirect mentorship from a CEO with 25 years of energy project development experienceExposure to real datasets and practical problem-solvingA fast-paced environment that helps you grow quicklyA strong portfolio of work you can speak to in interviewsEligibility for academic credit (8–10 units, subject to university approval)Priority consideration for extended or paid opportunities based on performanceThis is an unpaid internship. All participants are eligible for academic credit, and strong performers are considered for paid roles.LogisticsCommitment: 15-20 hours per weekDuration: Minimum 10 weeksStart and end dates: Flexible within the term; prefer November start dateFormat: Remote · Part-time · UnpaidInterviews: Candidates should be available for a ~15-minute initial interview the week of November 9. Please apply only if you can schedule that conversation.How to ApplyClick Easy Apply above. Candidates who can interview the week of November 9 are strongly preferred. Applications reviewed on a rolling basis.#DataEngineering #DataScience #Python #SQL #ETL #Analytics #EnergyTech #CleanEnergy #EnergyStorage #IndustrialPower #DataCenters #AWS #Internship #StartupInternship #ExploratoryDataAnalysis","company":"Kelvolta","rawCompany":"kelvolta","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-11-05T07:48:29.974Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineering Intern (Python, SQL, ETL)","description":"Remote · Part-time (15-20 hrs/week) · San Francisco Bay Area, CA · Unpaid / Academic CreditWhat You're Walking IntoKelvolta is an energy technology company focused on uncovering and capturing real, measurable cost savings for energy-intensive operations at large commercial and industrial sites. Our work spans cold storage, AI data centers, industrial manufacturing, EV charging, and other markets in which demand is growing fast and the economics of storage turn on behavior nobody has measured. The data behind all of it arrives messy, inconsistent, and rarely documented. Turning it into something analysts can rely on is the job. As a lean team, we operate close to the work, giving interns the opportunity to contribute to real, production-adjacent challenges.\"Learning to build things that actually matter in a startup where I'm constantly learning and adapting.\"— L. Sanchez, UC Santa BarbaraSkills You'll Put to Use and DevelopETL pipelines that ingest, clean, and structure real-world energy and operational datasetsPython-based analysis (pandas, numpy, matplotlib) on messy, real-world datasetsSQL queries against production databases to power analytics workflowsJudgment about data quality: deciding what a record is worth, what is safe to infer, and what has to be marked unknownWho We're Looking ForCurrently-enrolled (not graduated) students. Upper-division undergraduate or graduate students in Computer Science, Data Science, Statistics, or Engineering with hands-on experience in at least two of the following: Python, SQL, ETL/data pipelines.Past interns have come in with strong fundamentals and left with experience building production-level work. We care more about what you can do than what year you're in.What You GetHands-on experience working on real projects with meaningful impactOpportunities to take ownership and contribute to production-level workDirect mentorship from a CEO with 25 years of energy project development experienceExposure to real datasets and practical problem-solvingA fast-paced environment that helps you grow quicklyA strong portfolio of work you can speak to in interviewsEligibility for academic credit (8–10 units, subject to university approval)Priority consideration for extended or paid opportunities based on performanceThis is an unpaid internship. All participants are eligible for academic credit, and strong performers are considered for paid roles.LogisticsCommitment: 15-20 hours per weekDuration: Minimum 10 weeksStart and end dates: Flexible within the term; prefer November start dateFormat: Remote · Part-time · UnpaidInterviews: Candidates should be available for a ~15-minute initial interview the week of November 9. Please apply only if you can schedule that conversation.How to ApplyClick Easy Apply above. Candidates who can interview the week of November 9 are strongly preferred. Applications reviewed on a rolling basis.#DataEngineering #DataScience #Python #SQL #ETL #Analytics #EnergyTech #CleanEnergy #EnergyStorage #IndustrialPower #DataCenters #AWS #Internship #StartupInternship #ExploratoryDataAnalysis","datePosted":"2026-11-05T07:48:29.974Z","dateModified":"2026-11-05T07:48:29.974Z","hiringOrganization":{"@type":"Organization","name":"Kelvolta","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4e4f799f94ea8871ea72da08"},"url":"https://jobsearcher.com/jobs/4e4f799f94ea8871ea72da08"}}