This position can be in-office in NYC or remote work-from-home. Remote U.S. candidates are encouraged to apply.
CafeMedia is looking for an ambitious Data Engineering Analyst to join our Ad Code Engineering team. We are a highly entrepreneurial organization looking for people who are able to have a big impact immediately. We are looking for very smart, motivated people who get results and want to be part of something great.
At CafeMedia, you will be joining a technology team that builds and maintains a very high-traffic family of web properties that together reach over 90MM users every month. Over the past year, we have helped grow a large network of content sites, made contributions to open source projects, significantly improved our co-workers’ day-to-day by creating helpful internal tools, and designed innovative solutions to problems many digital media publishers have but few have solved. We strive to have a fun and welcoming team, and are eager to share knowledge and learn from each other.
Specifically, the person hired for this role will:
Work closely with engineering stakeholders to understand data validation needs
Own data validation for the ad code team, including creating specs for data validation, building reusable views to analyze data, and performing analysis
Manage data analysis for long running experiments
Dig into data to see if there are any current problems with our existing codebase
Come up with new ideas and things to test based on data performance
Monitor releases to ensure no impression / revenue / viewability losses
Train engineering team to code and QA with data in mind
MS in a computational field such as Computer Science, Mathematics, Statistics, Physics, or Engineering is preferred
Experience working with log level data / machine data (i.e. Splunk, DFP log files, etc.)