Data Engineer

Discord·San Francisco Bay Areasenior$15,000–$16,667 USD/mo

En corto

→Diseñar y mantener modelos de datos limpios y confiables para que equipos de producto y negocio tomen decisiones.
→Ser el responsable end-to-end de métricas: definirlas, implementarlas y hacerlas accesibles mediante dashboards.
→Destacar por construir una capa semántica que permita a todos autogestionar datos con confianza.

Fluency in English is required for collaboration across global teams.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓3+ años en ingeniería de datos o análisis con enfoque en datasets curados
✓3+ años diseñando modelos de datos robustos desde fuentes estructuradas y no estructuradas
✓3+ años escribiendo código SQL preciso y eficiente
✓Experiencia en diseño de modelos para experimentación
✓Fluidez en Python o lenguaje similar con buenas prácticas en control de versiones y CI/CD
✓Experiencia en crear dashboards ejecutivos con herramientas BI como Looker o Tableau

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

SQLPythondbtBigQueryLookerTableauversion controlCI/CDdata modelingdata quality testing

¿A quién escribirle en Discord?

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

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord is looking for an experienced and passionate Data Engineer, Analytics to join our data team! You will be owning the transformation and semantic layer that turns data into clean, tested, well-documented tables and dashboards that data scientists, product managers, and business stakeholders can trust and self-serve from. You ll define and operationalize the metrics that inform how we identify opportunities, measure success, and make decisions. If this sounds exciting to you and you’re passionate about data modeling, metric design, and empowering teams to move faster with reliable data, read on! What you will be doing : • Design, build, and maintain curated analytical datasets and data models that serve as canonical sources for metrics, dashboards, and analyses • Own metric definitions end to end, from partnering with data science and product team to define what we should measure, to implementing it in production, to surfacing it in visualization tools • Build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions • Partner closely with data science, product manager, and engineering teams to translate business questions into well modeled, performant, and discoverable data assets • Establish and enforce data quality standards through testing frameworks, documentation, and monitoring for the datasets you own • Drive adoption of consistent data modeling patterns, naming conventions, and documentation norms across the data organization What you should have • 3+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets • 3+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources • 3+ years of experience writing accurate and effective code in SQL • Experience with designing data model to power a variety of use cases, including experimentation • Fluency in Python or another programming language, with solid fundamentals in version control and CI/CD practices • Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar) • Strong business acumen, you will partner with data scientists and product managers to translate ambiguous business questions into concrete metric definitions and data models • Excellent communication, comfortable being the connective tissue between technical and business teams • Last but not least, desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord Bonus Points: • Passion for Discord or online communities • Experience building or contributing to a semantic layer or metrics store • Experience with modern analytics and data engineering tools and workflows (dbt, BigQuery, or similar) • Experience working on monetization and/or subscription products The US base salary range for this full-time position is $180,000 to $200,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the

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