Senior Data Engineer, AI and Systems Engineering
WFA Digital Insight
As demand for skilled data engineers continues to soar, Dropbox is seeking a seasoned Senior Data Engineer to lead the charge in building a unified data foundation. With the global data engineering market projected to grow by 25% annually, professionals with expertise in designing scalable pipelines and data models are in high demand. Dropbox's commitment to innovation and employee growth makes this a compelling opportunity for those looking to make a meaningful impact. Before applying, candidates should be aware of the importance of collaboration, data governance, and security insights in this role.
Job Description
About the Role
As a Senior Data Engineer on the CMDB and Asset Intelligence platform, you will play a critical role in building the unified data foundation that powers asset visibility, cost optimization, and security insights across the company. Your day-to-day will involve designing and implementing scalable data pipelines, developing medallion architecture, and partnering with IT, Security, and Finance teams to define data quality and governance standards. You will be part of a dynamic team that relies on data-driven insights to inform business decisions.The success of this role depends on the ability to turn messy, multi-system data into trusted, decision-ready signals. You will have the opportunity to work with a variety of data sources, including ServiceNow, Okta, Oracle, and Jamf, and contribute to the development of a centralized lakehouse architecture. Your expertise in data engineering will help raise the bar on data quality and governance, and your collaborations with cross-functional teams will shape the long-term direction of the platform.
Dropbox's Engineering Career Framework is designed to support the growth and development of its engineers, and this role is no exception. As a Senior Data Engineer, you will have the opportunity to take on new challenges, develop your skills, and contribute to the company's mission to create a more efficient and collaborative work environment.
What You Will Do
- 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
- Partner with IT, Security, and Finance to define data quality and governance standards
- Collaborate with cross-functional teams to deliver high-impact solutions and shape the long-term direction of the platform
- Develop and maintain data pipelines and architectures to support business intelligence and analytics
- Work with data scientists and analysts to design and implement data visualizations and reports
- Ensure data security and compliance with company policies and regulatory requirements
- Stay up-to-date with industry trends and emerging technologies in data engineering
What We Are Looking For
- 5+ years of experience in data engineering, with a focus on designing and implementing scalable data pipelines and architectures
- Strong skills in Databricks, Spark, and data modeling
- Experience with medallion architecture and data governance
- Ability to work with multiple data sources and systems
- Strong collaboration and communication skills
- Experience with data security and compliance
- Strong problem-solving skills and attention to detail
- Bachelor's degree in Computer Science, Engineering, or related field
Nice to Have
- Experience with cloud-based data platforms (e.g., AWS, GCP)
- Knowledge of data warehousing and business intelligence concepts
- Familiarity with Agile development methodologies
- Experience with data science and machine learning
Benefits and Perks
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Flexible working hours and remote work options
- Access to cutting-edge technologies and tools
- Comprehensive health and wellness programs
- Generous paid time off and holiday policy
How to Stand Out
- Tip: Highlight your experience with Databricks, Spark, and data modeling in your resume and cover letter.
- Be prepared to discuss your approach to data governance and security in your interview.
- Show examples of your work in designing and implementing scalable data pipelines and architectures.
- Research Dropbox's Engineering Career Framework and be ready to discuss how you can contribute to the company's mission.
- Don't be afraid to ask questions about the company culture and team dynamics during your interview.
- Make sure to highlight your collaboration and communication skills, as they are essential for success in this role.
- Be prepared to discuss your experience with data visualization and reporting tools, and how you can apply them to this role.
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