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Staff Data Engineer

1 hour, 45 minutes ago
Mexico
Full-time
Lead
Data Engineer
Software Development
Apache Airflow CI/CD Databricks dbt Python SQL
Apply Now
Dropbox

Dropbox

Dropbox is a technology company that builds simple, powerful products for individuals and businesses. With over 700 million registered users worldwide, Dropbox offers file sync, sharing, online backup, cloud storage, collaboration tools, and more to st...

Internet Software & Services
1K-5K
Founded 2007
View All Jobs 61

Description

  • Lead the design and implementation of shared, reusable data models, including shared fact tables, conformed dimensions, and a semantic/metrics layer.
  • Drive standardization of data engineering practices across analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and 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 using data contracts, service-level objectives, and code-enforced quality gates.
  • Collaborate with Data Science and Product Management to translate metric definitions into certified data pipelines for dashboards and reporting.
  • Improve pipeline granularity, observability, and failure recovery to reduce operational burden and make on-call sustainable.
  • Evaluate and integrate AI-native tooling into the data development lifecycle, including conversational exploration and AI-assisted pipeline development.
  • Address cross-cutting data challenges across multiple lines of business and align stakeholders on analytics infrastructure direction.
  • Maintain operational readiness by responding to occasional on-call needs for bugs, outages, or other production issues.

Requirements

  • BS degree in Computer Science or a related technical field, or equivalent technical experience.
  • 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership.
  • 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale.
  • 8+ years of Python development experience, including building and maintaining production data pipelines.
  • Deep expertise in dimensional data modeling, schema design, and scalable data architecture.
  • Hands-on experience building shared data models across multiple business domains.
  • Strong experience with orchestration tools, with Airflow strongly preferred, and dbt.
  • Experience with pipeline design, scheduling strategies, and failure recovery patterns.
  • Demonstrated ability to drive cross-team technical alignment and influence without authority across engineering and product functions.
  • Experience with Databricks, including Unity Catalog and Delta Lake, and modern lakehouse architectures (preferred).
  • Experience leading orchestration or platform modernization efforts at scale (preferred).
  • Familiarity with data governance and observability tools such as Atlan, Monte Carlo, or Great Expectations (preferred).
  • Experience building or contributing to a metrics or semantic layer such as dbt MetricFlow or Databricks Metric Views (preferred).
  • Track record of establishing data engineering standards and best practices in a federated analytics organization (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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