Sr. Engineer (Data Team)

It takes powerful technology to connect our brands and partners with an audience of hundreds of millions of people. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world.

It takes powerful technology to connect our brands and partners with an audience of hundreds of millions of people. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world.

A Lot About You

We're in search of proficient engineers skilled in constructing and refining distributed systems. Our work encompasses everything from data ingestion and processing to optimizing storage. Collaborating closely with engineers and the product team, we aim to develop highly scalable systems that effectively address real-world data issues. Our customers count on us to deliver accurate, real-time, and resilient solutions to meet their evolving data requirements.

You will provide infrastructure designing, code development, execution, and innovation across specific engagements. The role is expected to collaborate with data scientists, business units, and analysts. The ideal candidate would have a strong understanding of distributed systems , data pipeline and cloud development.

Your Day

• Construct cutting-edge data pipelines to facilitate the near real-time ingestion of intelligence data and insights with the team.

• Design scalable data pipelines and tackle real-time stream processing challenges at a significant scale with the team.

• Assess open-source and cloud technologies to identify optimal solutions for our needs.

Skills/Experience

• Proficiency with AWS platform technologies gained through practical experience

• Experience in designing or developing enterprise-level data products, applications, and integrations

• Programming Language: Java or Python

• Know how to building products utilizing one of the following distributed technologies, including:

  • Relational Stores (such as MySQL, or Oracle)

  • (As plus) Distributed Processing Engines (such as Apache Spark, Apache Flink)

  • (As plus) Distributed Queues (such as Apache Kafka, AWS Kinesis)

• Familiarity with software engineering best practices, including unit testing, code reviews, and design documentation

• Fluency in Mandarin/Chinese is required

• By applying to this position, you are required to locate in Taiwan

Role & Responsibilities

• Engineering and Business Intelligence (BI) Systems: Responsible for designing, developing, and maintaining robust engineering and BI systems that facilitate the effective collection, processing, and analysis of data. This includes implementing scalable data pipelines, ensuring data accuracy and integrity, and integrating various data sources into a cohesive system that supports business intelligence and analytics needs. The role involves working closely with stakeholders to understand data requirements and deliver solutions that drive decision-making and operational efficiency.

  Designing and Developing Enterprise-Level Data Products, Applications, and Integrations on AWS: Lead the design and development of sophisticated data products, applications, and integrations using AWS services. This includes leveraging AWS technologies such as Amazon S3, Redshift, Glue, Lambda, and others to build scalable, secure, and efficient data solutions. The role requires deep familiarity with AWS architecture and best practices to ensure that all data products and applications are optimized for performance, cost, and scalability. Additionally, the role involves integrating these solutions with existing systems, ensuring seamless data flow and accessibility across the organization, and continually evolving the AWS-based infrastructure to meet changing business needs.

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 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 (

) or call . Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don’t require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you’ll be given notice to make arrangements. 

If you’re curious about how this factors into this role, please discuss with the recruiter.

Currently work for Yahoo? Please apply on our internal career site.