Data Engineer
At a glance
Highlights
- Build new analytics pipelines
- Leverage recent Big Data technologies
- No technical debt constraints
Heads up
- On-call work may be necessary occasionally
Why this role might suit you
The role offers the opportunity to design and own large-scale data architectures at a leading cloud storage company, using cutting-edge Big Data tools, with minimal technical debt and significant impact on product strategy.
Skills
About the role
Role Description Dropbox is looking for a Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. In this role you will build large, scalable analytics pipelines using modern data technologies. This is not a “maintain existing platform” or “make minor tweaks to current code base” kind of role. We are effectively building from the ground up and plan to leverage the most recent Big Data technologies. If you enjoy building new things without being constrained by technical debt, this is the job for you!
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
Define company data assets (data model), Spark, SparkSQL jobs to populate data models Define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers. Requirements
5+ years of Spark, Python, Java, C++, or Scala development experience 5+ years of SQL experience 5+ years of experience with schema design, dimensional data modeling, and medallion architectures Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience Experience designing, building and maintaining data processing systems
Preferred Qualifications
7+ years of SQL experience 7+ years of experience with schema design, dimensional data modeling, and medallion architectures Experience with Airflow or other similar orchestration frameworks Experience building data quality monitoring using MonteCarlo or similar tools
Questions about this role
How do I apply to this Data Engineer role at Dropbox?
Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.
What's the typical salary for Data Engineer in Mexico?
Compensation for Data Engineer roles in Mexico varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Data Engineer hub for Mexico medians across recent openings.
How fast does AI Applyd auto-apply?
Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.
What ATS does Dropbox use?
AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.
Want AI Applyd to auto-apply to roles like this?
We tailor your resume per posting, fill the forms, and track replies for you.