🛠 Tech Stack

💼 About This Role

You'll build the unified data foundation for asset visibility, cost optimization, and security insights at Dropbox. You'll design scalable pipelines using Databricks and Spark to turn messy multi-system data into trusted signals. This role offers the chance to shape the long-term direction of the platform while partnering with IT, Security, and Finance.

🎯 What You'll Do

• Design and build scalable data pipelines using Databricks and Spark.
• Develop medallion architecture data models for reliable golden records.
• Implement data normalization and entity resolution across systems.
• Build workflows to detect Shadow IT across multiple signals.
• Partner with IT, Security, and Finance to define data standards.

📋 Requirements

• 9+ years building and maintaining data pipelines and large-scale platforms.
• Strong experience with Databricks, Apache Spark, and SQL.
• Proficiency in Python for data engineering and ETL.
• Experience integrating data from multiple enterprise systems.

✨ Nice to Have

• Experience with CMDB systems like Jira Assets or ServiceNow.
• Familiarity with identity or IT asset management systems (e.g., Okta, Jamf).
• Bachelor's or Master's in Computer Science or related field.

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 💰 Competitive salary and equity
• 🏥 Comprehensive health insurance
• 📈 401(k) matching
• 💻 Remote work flexibility

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview (Coding & System Design)· 60 min
3. 3Hiring Manager Interview· 45 min