Data Engineer

Dropbox·Remote - US: Select locationsRemotemid

In short

→Construyes y mantienes pipelines de datos con Spark y SparkSQL para modelos empresariales.
→Gestión completa de pipelines: diseño, implementación, monitoreo y mejora continua.
→Trabajas con ciencia de datos y productos para entregar modelos de datos duraderos y de alta calidad.

Ningún requisito de inglés especificado

Apply on company site ↗Share on WhatsApp

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

What they ask for

✓Experiencia con Spark y SparkSQL en entornos de producción.
✓Capacidad para gestionar pipelines de datos desde cero hasta producción.
✓Conocimiento en pruebas de calidad de datos y trazabilidad de datos.
✓Habilidades colaborativas con equipos de ciencia de datos, producto y ingeniería.
✓Experiencia con frameworks de monitoreo y alertas.
✓Disponibilidad para rotación en servicio de on-call durante horas laborales.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

SparkSparkSQLPythonSQLAirflowBigQueryCloud StorageDockerGitJenkins

Who should you write to at Dropbox?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Role Description As a Data Engineer on Analytics Data Engineering, you will build and operate the pipelines and data models the rest of Dropbox relies on to understand its products and its business. You will own well-scoped pipelines end to end — design, build, test, ship, monitor — with senior engineers alongside you for the harder architectural calls. Your work feeds the datamarts and KPIs used by data science, product, and company leadership, so the quality of what you build is visible quickly. This is a build-oriented team on a modern stack rather than a maintenance role, and a strong place to develop into an engineer who can own a full data domain. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities • Build and maintain Spark and SparkSQL jobs that populate company data models • Own well-scoped pipelines end to end, from requirements through deployment, monitoring, and iteration • Contribute to data quality frameworks, testing, and data lineage instrumentation • Partner with data scientists, analysts, product managers, and engineers to turn data needs into durable models • Extend datamarts and data models supporting recurring reporting and analysis across products • Improve the reliability and cost efficiency of existing pipelines, dashboards, and frameworks • Participate in a business-hours on-call rotation and help improve runbooks and alerting <span class="th

More jobs like this

Remote Data Engineer jobs

Looking for something similar?

Leave your email and we'll alert you when matching jobs appear.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.