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Vacantes / Coinbase

Analytics Engineer Intern

Coinbase · Hybrid - San Francisco, CAjunior

En corto

  • ▸Modelar y construir pipelines de datos escalables para decisiones empresariales en Coinbase.
  • ▸Trabajar con SQL, Python y herramientas de IA generativa en entornos de producción.
  • ▸Experiencia práctica en un equipo de datos de una empresa crypto-nativa en un entorno híbrido con sesiones presenciales trimestrales.

No se requiere inglés explícito, pero se asume fluidez lectora en documentación técnica en

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¿Qué piden?

  • ✓Estudiante en Ciencias de la Computación, Estadística, Economía o campo cuantitativo relacionado.
  • ✓Dominio avanzado de SQL con consultas complejas (joins, ventanales, agregaciones).
  • ✓Conocimiento de Python (preferido) para desarrollo de pipelines.
  • ✓Capacidad de comunicar ideas técnicas a audiencias no técnicas.
  • ✓Uso responsable de IA generativa para mejorar eficiencia, calidad y costos en tareas de datos.
  • ✓Disponibilidad para 12 semanas de internship durante el verano 2027, con sesiones presenciales trimestrales.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

SQLPythonGenerative AI toolsData modelingData pipelinesDimensional modelingData qualityData documentationSelf-serve analyticsCross-functional collaboration

¿A quién escribirle en Coinbase?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. You'll join the Analytics Engineering team within Platform, which builds and maintains the trusted data infrastructure that powers decision-making across Coinbase. As an Analytics Engineer Intern, you'll model complex data, build scalable pipelines, and deliver insights that help teams across the company unlock the full potential of our data. You will gain hands-on experience building production data systems at scale, mentorship from senior analytics engineers, and exposure to how data powers decision-making across a publicly traded crypto-native company. What you'll do: • Build and maintain dimensional data models that transform raw data into clean, reliable datasets used by analysts, data scientists, and product teams across the organization. • Develop data pipelines using SQL, ensuring data quality, freshness, and documentation meet production standards. • Partner with cross-functional stakeholders to understand their data needs and deliver well-structured datasets or dashboards that enable self-serve analytics. • Leverage generative AI tools to streamline data development, modeling, and documentation workflows. • Investigate and resolve data quality issues, implementing tests and monitors that catch problems before they reach downstream consumers. Required Skills and Experience: • Currently pursuing a degree in computer science, data science, statistics, economics, or a related quantitative field, or equivalent experience • Demonstrated proficiency in SQL through coursework, projects, or prior internship experience, with the ability to write complex queries involving joins, window functions, and aggregations. • Familiarity with at least one programming language (Python preferred) • Ability to communicate technical concepts clearly to both technical and non-technical audiences, demonstrated through project presentations, dashboards, documentation, or collaborative work. • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Req ID: P78159 #LI-Hybrid Pay Transparency Notice: Depending on your work location, the target hourly rate for this position can range as detailed below. <div class="c-message_kit__reaction_bar c-reaction_bar c-reaction_bar--collapsed" data-qa="reaction_bar" data-stringif

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