In this role you will build very large, scalable platforms using cutting edge 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!

• Help define company data assets (data model), spark, sparkSQL and hiveSQL jobs to populate data models
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Create and contribute to frameworks that improve the efficacy of event logging data, while working with engineers to improve event logging completeness and data quality
• Implementing data quality monitoring and validation processes to ensure the accuracy, completeness, consistency, and reliability of data across the entire data lifecycle.
• Collaborate with engineers, product managers, and data scientists to understand data needs and 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
• Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
• Determine and implement the security model based on privacy requirements, confirm safeguards are followed and evolve governance processes within allocated areas of ownership

• Startup mentality with strong ownership to solve 0-1 problems with minimal guidance and being comfortable with ambiguities
• 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
• Experience working with MPP system on any size/scale
• 3+ years of Python/Java/Scala development experience
• 5+ years of SQL experience (No-SQL experience is a plus) dimensional data modeling
• 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Presto) and streaming technologies such as Kafka/Flink
• High tech experiences are preferred

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.

• Startup mentality with strong ownership to solve 0-1 problems with minimal guidance
• Strong product sense; understands how data contributes to overall product success.
• B2B high tech experience

Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation.  We target most new hire offers between the minimum up to the middle of the range.

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).

Current Salary/OTE Ranges (Subject to change):• US Zone 1: $158,100 - $186,000 - $213,900.• US Zone 2: $142,300 - $167,400 - $192,500.• US Zone 3: $126,500 - $148,800 - $171,100. Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use. Current US Zone locations are as follows:• US Zone 1: San Francisco metro, New York City metro, or Seattle metro• US Zone 2: Austin (TX) metro, Chicago metro, California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Massachusetts, New Hampshire, New York (outside NYC metro), Oregon, Pennsylvania (outside NYC or DC metro), Washington (outside Seattle metro), Washington DC metro and West Virginia (DC metro)• US Zone 3: All other US locations