Data Engineer
Role Description
Dropbox is looking for a Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. In this role you will build large, scalable analytics pipelines using modern data technologies. This is not a “maintain existing platform” or “make minor tweaks to current code base” kind of role. We are effectively building from the ground up and plan to leverage the most recent Big Data technologies. If you enjoy building new things without being constrained by technical debt, this is the job for you!
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
Define company data assets (data model), Spark, SparkSQL jobs to populate data models
Define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
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
5+ years of Spark, Python, Java, C++, or Scala development experience
5+ years of SQL experience
5+ years of experience with schema design, dimensional data modeling, and medallion architectures
Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
Experience designing, building and maintaining data processing systems
Preferred Qualifications
7+ years of SQL experience
7+ years of experience with schema design, dimensional data modeling, and medallion architectures
Experience with Airflow or other similar orchestration frameworks
Experience building data quality monitoring using MonteCarlo or similar tools
ole Description
We are seeking a motivated Network Engineer to join Dropbox’s Network Engineering team. You’ll work alongside senior and mid level engineers to design, implement, and optimize enterprise network infrastructure across data centers, offices, wireless networks, and cloud environments.
This role provides hands-on opportunities to build expertise in network automation, performance optimization, cloud networking, and security. You’ll support ongoing projects while helping expand the team’s capabilities in automation, observability, and cloud infrastructure consolidation.
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
Monitor, troubleshoot, and optimize networks using Datadog, Kentik NetFlow, and synthetic testing.
Support datacenter and studio office network deployments, upgrades, and retrofits.
Assist in day-to-day CorpNet operations including stand-ups and vendor calls.
Contribute to Aruba Cloud wireless migrations and ongoing management.
Support AWS, GCP, Azure, and OCI networking initiatives including VPC design, routing, and security optimization.
Assist with Zscaler ZIA/ZPA/ZDX/ZCC projects including DR testing and Business Continuity deployments.
Develop, test, and maintain network automation scripts using Ansible and Python.
Contribute to automation of datacenter office deployments to reduce manual effort and streamline provisioning.
Work with Terraform and CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD, etc.) to enable repeatable deployments.
Maintain and improve NetBox, Oxidized, ACL management, and IPAM systems.
Document network architectures, procedures, and operational guides.
Contribute to knowledge sharing by writing technical runbooks and training materials.
Support network segmentation and traffic inspection projects to enhance security posture.
Assist in secrets and certificate management across enterprise platforms.
Participate in performance optimization initiatives to improve end-user experience.
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
Hands-on experience with Cisco and Juniper platforms.
Familiarity with network automation using Ansible, Python, and Terraform.
Understanding of cloud networking concepts (AWS, GCP, Azure, OCI).
Experience with enterprise networking technologies: DNS, DHCP, VPNs, and Wi-Fi.
Knowledge of monitoring platforms: Datadog, Kentik, NetBox, IPAM.
Basic familiarity with CI/CD tools (GitHub Actions, Jenkins, ArgoCD).
Strong interest in zero trust security (Zscaler) and performance optimization.
Preferred Qualifications
Exposure to Aruba wireless (on-prem and cloud).
Experience with Zscaler tools (ZIA, ZPA, ZDX, ZCC).
Knowledge of Vault or other secrets management platforms.
Familiarity with containers and Kubernetes networking.
Strong written skills for technical documentation and runbooks.
AI Fluency
AI fluency is a core part of how we work and grow. It’s not about being an expert—it’s about using these tools thoughtfully and effectively to improve your work and support others.
We look for four key behaviors in candidates:
Ownership: You use AI responsibly by protecting data, applying sound judgment, and taking accountability for the quality and accuracy of your work.
Experimentation: You explore new AI capabilities and apply them to improve workflows within approved tools and practices.
Leverage: You use AI to enhance thinking, improve efficiency, and increase your impact and your team’s.
Learning: You stay current on emerging AI tools and trends, continuously build your skills, and share what you learn with others.
Together, these behaviors help build a workforce where technology amplifies human judgment, creativity, and impact.
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.
Dropbox is looking for a Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. In this role you will build large, scalable analytics pipelines using modern data technologies. This is not a “maintain existing platform” or “make minor tweaks to current code base” kind of role. We are effectively building from the ground up and plan to leverage the most recent Big Data technologies. If you enjoy building new things without being constrained by technical debt, this is the job for you!
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
Define company data assets (data model), Spark, SparkSQL jobs to populate data models
Define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
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
5+ years of Spark, Python, Java, C++, or Scala development experience
5+ years of SQL experience
5+ years of experience with schema design, dimensional data modeling, and medallion architectures
Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
Experience designing, building and maintaining data processing systems
Preferred Qualifications
7+ years of SQL experience
7+ years of experience with schema design, dimensional data modeling, and medallion architectures
Experience with Airflow or other similar orchestration frameworks
Experience building data quality monitoring using MonteCarlo or similar tools
ole Description
We are seeking a motivated Network Engineer to join Dropbox’s Network Engineering team. You’ll work alongside senior and mid level engineers to design, implement, and optimize enterprise network infrastructure across data centers, offices, wireless networks, and cloud environments.
This role provides hands-on opportunities to build expertise in network automation, performance optimization, cloud networking, and security. You’ll support ongoing projects while helping expand the team’s capabilities in automation, observability, and cloud infrastructure consolidation.
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
Monitor, troubleshoot, and optimize networks using Datadog, Kentik NetFlow, and synthetic testing.
Support datacenter and studio office network deployments, upgrades, and retrofits.
Assist in day-to-day CorpNet operations including stand-ups and vendor calls.
Contribute to Aruba Cloud wireless migrations and ongoing management.
Support AWS, GCP, Azure, and OCI networking initiatives including VPC design, routing, and security optimization.
Assist with Zscaler ZIA/ZPA/ZDX/ZCC projects including DR testing and Business Continuity deployments.
Develop, test, and maintain network automation scripts using Ansible and Python.
Contribute to automation of datacenter office deployments to reduce manual effort and streamline provisioning.
Work with Terraform and CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD, etc.) to enable repeatable deployments.
Maintain and improve NetBox, Oxidized, ACL management, and IPAM systems.
Document network architectures, procedures, and operational guides.
Contribute to knowledge sharing by writing technical runbooks and training materials.
Support network segmentation and traffic inspection projects to enhance security posture.
Assist in secrets and certificate management across enterprise platforms.
Participate in performance optimization initiatives to improve end-user experience.
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
Hands-on experience with Cisco and Juniper platforms.
Familiarity with network automation using Ansible, Python, and Terraform.
Understanding of cloud networking concepts (AWS, GCP, Azure, OCI).
Experience with enterprise networking technologies: DNS, DHCP, VPNs, and Wi-Fi.
Knowledge of monitoring platforms: Datadog, Kentik, NetBox, IPAM.
Basic familiarity with CI/CD tools (GitHub Actions, Jenkins, ArgoCD).
Strong interest in zero trust security (Zscaler) and performance optimization.
Preferred Qualifications
Exposure to Aruba wireless (on-prem and cloud).
Experience with Zscaler tools (ZIA, ZPA, ZDX, ZCC).
Knowledge of Vault or other secrets management platforms.
Familiarity with containers and Kubernetes networking.
Strong written skills for technical documentation and runbooks.
AI Fluency
AI fluency is a core part of how we work and grow. It’s not about being an expert—it’s about using these tools thoughtfully and effectively to improve your work and support others.
We look for four key behaviors in candidates:
Ownership: You use AI responsibly by protecting data, applying sound judgment, and taking accountability for the quality and accuracy of your work.
Experimentation: You explore new AI capabilities and apply them to improve workflows within approved tools and practices.
Leverage: You use AI to enhance thinking, improve efficiency, and increase your impact and your team’s.
Learning: You stay current on emerging AI tools and trends, continuously build your skills, and share what you learn with others.
Together, these behaviors help build a workforce where technology amplifies human judgment, creativity, and impact.
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.