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Senior Data Engineer – AI, Systems Engineering
Location
Mexico
Posted
13 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Engineer – AI, Systems Engineering
Dropbox
• Design and build scalable data pipelines using Databricks and Spark to ingest, transform, and unify data from multiple enterprise systems • Develop and maintain medallion architecture (Bronze, Silver, Gold) data models to create reliable and performant “Golden Record” datasets • Implement data normalization, mapping, and entity resolution techniques (e.g., fuzzy matching, XREF tables) to unify asset data across disparate systems • Build data workflows to detect and surface Shadow IT across financial, identity, endpoint, and network signals and integrate results into CMDB systems • Partner with IT, Security, Finance, Procurement, and GRC teams to define and enforce data standards for critical CMDB attributes (e.g., ownership, approval status, lifecycle) • Develop and maintain data integrations and APIs to synchronize curated datasets into operational systems such as ServiceNow and Jira Assets • Monitor, troubleshoot, and improve data quality, reliability, and observability across the data platform
Job Requirements
- 9+ years of experience building and maintaining data pipelines and large-scale data platforms
- Strong experience with Databricks, Apache Spark, and SQL for distributed data processing and transformation
- Experience designing data models and architectures such as medallion architecture, data lakes, or lakehouse systems
- Proficiency in Python or similar programming languages for data engineering and ETL development
- Experience integrating data from multiple enterprise systems (e.g., SaaS tools, financial systems, identity systems)
- Strong understanding of data quality, data governance, and entity resolution techniques across heterogeneous datasets
- Excellent collaboration and communication skills, with experience working cross-functionally with technical and non-technical stakeholders.
Benefits
- Health insurance
- 401(k)
- Paid time off
- Flexible work arrangements
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