Dropbox

Staff Data Engineer, Analytics Data Engineering

Remote - US: Select locations · Staff+

Sponsorship not specified$199k-$269kDetected 4 days ago

PythonSQLDatabricksCI/CDSparkAirflowdbtData EngineeringData ScienceUnityLeadership

About the role

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance.
You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.
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.

Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
Architect and implement a shift-left data governance strategy, working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement

BS degree in Computer Science or related technical field, or equivalent technical experience
1 2 + years of experience in data engineering or analytics engineering with increasing scope and technical leadership

Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
Experience leading orchestration or platform modernization efforts at scale
Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
Track record of establishing data engineering standards and best practices in a federated analytics organization
This role is not available in Zone 1
Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns

If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment.

This listing is sourced directly from Dropbox's careers page and normalized into a canonical job model.