Software Development - Senior Data Engineer

It takes potent technology to connect our brands and partners with nearly 900 million individuals. Whether you're interested in coding for mobile apps, engineering the servers that support our vast ad tech stacks, or developing algorithms that process trillions of data points daily, your work here will significantly impact our business—and the world. Interested? Yahoo brands, including Yahoo, Techcrunch, AOL, and more, make up some of the top internet destinations. This means we rely on massively scalable, widely distributed, and high-performance systems. If you want to help tackle complex issues for systems like these, we're looking for you. Yahoo's Analytics Research and Data team works with one of the world's largest online advertising and audience datasets. We provide quick, clean, and relevant data for Yahoo's consumer and advertising businesses, as well as key metrics and insights about Yahoo users. We're developing next-generation technologies to enhance user and advertiser experiences through complex, scalable data platforms, presenting growing and engaging challenges. The Revenue Assurance and Data Monitoring team is seeking a Senior Data Engineer to create and operate smart anomaly detection alerts and dashboards on our Consumer Products (Homepage, Mail, News, Sports, Finance, etc.), and work with a wide variety of product teams to resolve critical revenue-impacting issues, and conducting ad hoc analysis to understand complex marketplace trends. Responsibilities: -Construct, maintain, and operate anomaly detection and monitoring tools in a public cloud (AWS or GCP) as well as on-premise Linux/HDFS environments. Most software development is backend, but some basic UI development is involved as well. -Conduct data investigations over a variety of ad platform data -Understand the marketplace trends and assist with revenue trends. -Collaborate closely with product teams to identify metrics and set optimal alerting thresholds and logic that use basic statistical methods and often advanced machine learning methods, along with backtesting of historical issues. -Develop alerting strategies based on stakeholder feedback, as well as issue detection effectiveness. -Investigate data and monitor data quality – partner closely with product teams and provide clear, actionable requirements. Required Skills/Experience: -BS/MS in a highly-quantitative field (Computer Science, Info Systems, Analytics, Mathematics). Preference for those with Statistical Analysis and Machine Learning coursework/experience. -Experience in analysis across complex data sets, data explorations, data issue triage -Experience with programming and scripting languages like Java, C++, Python, Perl, SQL, and Unix or Linux systems -Experience with big data technologies like Hive, Hadoop, MapReduce, Spark, PIG, and AWS. -Demonstrated use of web analytics, metrics, and benchmarking to drive decisions -Proven record of proactively establishing and following through on commitments -Strong written and verbal communication skills -Excellent interpersonal, organizational, creative, and communications skills -Team player with a positive attitude who drives growth results -Strong work ethic and solid core values (honesty, integrity, creativity) -Problem solver who consistently considers ways to improve Yahoo is an equal opportunity employer. All qualified applicants will receive consideration for employment without discrimination based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo is dedicated to ensuring accessibility for all candidates during the application process and for employees during their employment. If you require accessibility assistance or reasonable accommodation due to a disability, please submit a request via our Accommodation Request Form or call 408-336-1409. Non-disability related requests or calls, such as following up on an application, will not receive a response. Yahoo is flexible regarding employee location and hybrid working. In fact, our flexible-hybrid approach is one of our employees' favorite aspects. Most roles don't require specific patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel for) on-site work sessions, team-building, or other in-person events. You'll receive notice when these occur, allowing you to make necessary arrangements.  If you're curious about how this influences the role, feel free to discuss it with the recruiter. Current Yahoo employees should apply through our internal career site.