USD per year
Data Engineer, Analytics Data Engineering
Role Description
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
- Help define company data assets (data model), Spark, SparkSQL jobs to populate data models
- Help 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
Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.
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
Compensation
Canada Pay Range $128,400—$173,700 CAD The range listed above is the expected annual salary/OTE (On-Target Earnings) for this role, subject to change. Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Read more about our benefits here.
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,...
Team Description...
Virtual First...
Dropbox supports responsible use of AI for preparation,but misrepresentation...Dropbox is an equal opportunity employer.We are a welcoming place for everyone,and we do our best tomake sure all people feel supportedand connected at work. Location: Remote - Canada: Select locations (Alberta,British Columbia,Ontaio,Saskatchewan) Remote Work: Yes (Virtual First) Employment Type: Full Time Experience Level: Mid-Senior (5+ years required) Salary: $128400 - $173700 CAD annually (OTE) Skills:
- Spark
- Python
- Java
- C++
- Scala
- SQL
- Schema design
- Dimensional data modeling
- Medallion architectures
- Databricks platform
- Data lake architectures
- Product strategic thinking & communication skills
- Designing/building/maintaining data processing systems
Preferred Skills:
- Airflow or similar orchestration frameworks
- Data quality monitoring tools such as MonteCarlo
Dropbox helps find, organize, and protect work with products like Dropbox Dash, offering advanced search for video, images, and team members plus generative AI capabilities. It provides cloud storage, secure file sharing, collaboration tools, and industry-specific solutions for construction, media, technology, professional services, manufacturing, and education. Security features include encryption, tamper-proof documents, version history, and recovery.
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