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Mid LevelFull-timePythonRustMachine LearningData ScienceAIML
Salary Range
$35,700 - $48,300 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Infrastructure Software Engineers on the Data Observability team build and operate foundational systems that ensure the reliability, visibility, and governance of analytical data across Dropbox. This role is critical to maintaining trust in our data, enabling teams to ship features, understand product usage, and optimize performance with confidence.
Key Responsibilities
- βDesign, implement, and maintain scalable data platform components to support analytics, governance, and AI/ML workloads across the enterprise.
- βCollaborate with data engineering, data science, and ML teams to ensure data reliability and observability.
- βSupport data quality monitoring such as anomaly detection, freshness, and schema validation.
- βManage metadata including ownership, documentation, and classification.
- βEnforce compliance through retention policies and data contracts.
- βContribute to platform modernization and adoption of cutting-edge data tools.
- βSupport the reduction of data errors, outages, and compliance gaps to enable confident data-driven decisions.
- βOccasionally participate in on-call rotations to address bugs, outages, or other operational issues.
Requirements
- β2+ years of experience in data engineering, platform engineering, or software engineering roles.
- βA BS degree in Computer Science or a related technical field, or equivalent experience.
- βProven success in developing and deploying large-scale data pipelines or platforms focused on quality, governance, and reliability.
- βProficiency in building and maintaining ETL/ELT workflows, APIs, and integrations with cloud-based data systems.
- βAbility to deliver end-to-end data platform features efficiently.
- βWillingness to participate in on-call rotations if required by the team.
