**Yahoo serves as
**a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products.For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results. The ideal candidate will have strong distributed systemsknowledge and AI/ML experience to design, build, and optimize scalable data pipelines, and infrastructure that power advanced analytics and machine learning solutions. In this role, you will
A Lot about You:Apply software engineering expertise to build high-performance, scalable data warehouses. Be excited to learn and take ownership for large-scale projects spanning many tech stacks and environments. Design, build, and launch efficient & reliable data pipelines to move and transform data on the scale of multiple petabyte(s) using the latest technologies. Build real time analytics and ingestion pipelines capable of processing more than a million events per second and provide insights at sub-second latency Interact with product owners and end users to understand and solve new business requirements as they emerge. Design and audit processes for ensuring the delivery of high-quality data through rigorous QA checks Have excellent data modeling skills to understand the nuances of various dimension and metric types in warehouses. Design workflows to ingest, load and present new data sets for users. Provide active support, be on rotation for on-call support on production pipelines (typically a couple of times each quarter). Define and manage SLA for all data sets in allocated areas of ownership. Work with the production engineering / infrastructure team to drive resolution to production issues. Required Skills: BS/MS in Computer Science and/or Mathematics/Statistics 4+ years experience in relevant software development with at least 2 years of professional Java and/or Python experience 2+ years experience in the Big Data pipeline and analytics space with experience across technology stacks. 2+ years experience in custom ETL design using Big Data stack environments (Hadoop, MapReduce, Pig, Hive, AWS EMR, Apache Beam, Google Cloud Platform Dataflow, BigQuery), implementation and maintenance. Preferred Experience: Experience or familiarity with some of the following tools: ****Kafka, Storm, Streaming (Spark,Dataflow), ElasticSearch Design, build, and maintain scalable data pipelines and ETL processes to support machine learning and AI initiatives on Google Cloud Platform (GCP). Implement and optimize data storage solutions using GCP services such as BigQuery, Cloud Storage, and Dataflow. Ensure data quality, integrity, and security throughout the data lifecycle.
At Yahoo,**we offer flexible hybrid work options that our employees love! While most roles don’t require regular office attendance, you may occasionally be asked to attend in-person events or team sessions. You’ll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!
Yahoo is proud**to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category.
Yahoo will consider**for employment qualified applicants with criminal histories in a manner consistent with applicable law.
Yahoo is dedicated**to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.
We believe**that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome.
Compensation:** The compensation for this position ranges from $143,625.00 - $299,375.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more.
Currently work for Yahoo?**Please apply on our internal career site.
Yahoo serves as**a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products.For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.
Work on cutting-edge sports data and analytics. Join a team that's revolutionizing how we understand sports performance with AI and machine learning.
Salary: $135,000 - $190,000
🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.
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