Role Description

As a Senior Data Engineer on the CMDB and Asset Intelligence platform, you will help build the unified data foundation that powers asset visibility, cost optimization, and security insights across the company. You will design scalable pipelines and data models that bring together sources like ServiceNow, Okta, Oracle, and Jamf into a centralized lakehouse architecture, turning messy, multi-system data into trusted, decision-ready signals.

This role is a chance to raise the bar on data quality and governance while building systems that teams actually rely on day to day. You will partner closely with IT, Security, and Finance to define what “good” looks like, deliver high-impact solutions, and shape the long-term direction of the platform.

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

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

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

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

Preferred Qualifications

Experience working with CMDB systems such as Jira Assets or ServiceNow
Familiarity with identity, security, or IT asset management systems (e.g., Okta, Jamf, Zscaler)
Experience implementing cost-optimized data processing strategies in cloud environments
Exposure to financial data systems (e.g., Oracle, Concur) and spend analytics use cases
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field

Company Description

Dropbox isn’t just a workplace—it’s a living lab for designing a more enlightened way of working. We’re a global community of bold visionaries and resourceful doers shaping the future of Dropbox and, in turn, the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, creating space for meaningful work and lasting relationships. With a startup mindset and enterprise-level opportunities, we expect Dropbox employees to think critically, stay curious, and use modern tools, including AI, to improve how work gets done. Here, you can be who you are and grow into who you’re meant to be. You own your impact, helping make work more intuitive, joyful, and human for yourself and hundreds of millions of people worldwide. If you’re ready to push boundaries and challenge yourself, Dropbox is ready for you.

Team Description

The Dropbox Engineering Team develops the technology, platforms, and products that create more enlightened ways of working for hundreds of millions of people. Customers rely on Dropbox to manage, share, and collaborate on content seamlessly—our engineering makes that easier and more intuitive than ever before.Our platform features a robust systems software layer that stores and processes exabytes of data, and a suite of growing services that enhance core products like our sharing and sync engine. We’re also driving innovation with new offerings such as Dash, our AI-powered knowledge management engine. Our infrastructure spans high-performance servers and cutting-edge components across multiple data centers worldwide, ensuring reliability, speed, and scalability at a global scale. We think like a startup but build for an enterprise, exploring new possibilities that transform how people work. If you're excited about turning complex technical challenges into intuitive solutions at scale, join our Engineering team.

Virtual First

Dropbox’s Virtual First way of working is designed to help people do their best work with flexibility, autonomy, and connection. Day to day, teams work remotely with nonlinear schedules and core collaboration hours that support deep focus and individual working styles. We prioritize asynchronous communication to improve clarity, respect deep work time, and reduce unnecessary meetings. While remote work is the primary experience for our employees, we also prioritize intentional, in-person connection. We bring teams together through regular team gatherings, on-demand workspaces, and Dropbox Neighborhood events in order to strengthen team cohesion, foster creativity, and enhance momentum. Virtual First is built to provide the same access to opportunity, growth, and impact for everyone, regardless of location.

This role requires travel to offsites and various other team gatherings (approximately 5-10% of the year or 2-3 days per quarter). We provide advance notice when possible and encourage candidates to discuss any accommodation needs during the interview process.

Dropbox supports responsible use of AI for preparation, but misrepresentation of skills or experience is not permitted. See our AI Principles.

Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.

Senior Data Engineer, AI and Systems Engineering