Principal Data Engineer - Consumer Data AI / ML

Summary:

The ideal candidate will have strong 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 collaborate closely with data scientists, software engineers, and business stakeholders to prepare and transform large datasets, support end-to-end model development and deployment, and ensure robust, efficient, and secure data flows. You will leverage your expertise in cloud platforms, big data tools, and machine learning frameworks to drive innovation and deliver actionable insights that advance our organization’s AI initiatives and business objectives.

Responsibilities:

• 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.

• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights.

• Monitor, troubleshoot, and maintain the health and performance of cloud-based data infrastructure.

• Automate manual processes and repetitive tasks to improve efficiency and reduce errors.

• Apply data governance and compliance best practices to protect sensitive information and meet regulatory standards.

• Stay current with new GCP features, tools, and best practices to continuously enhance data management capabilities.

• Document solutions, processes, and architectural decisions to facilitate knowledge sharing and maintainability.

Qualifications:

• BS or MS in Computer Science or a related major, or equivalent experience

• 10+ years of software engineering experience, with a strong emphasis on system design and backend development.

• 4+ years hands-on experience with Google Cloud Platform ecosystem (BigQuery, Dataproc, Composer, Dataflow, Data Catalog, Observability) or AWS equivalent.

• Proven ability to design, build, and maintain data pipelines that support machine learning and AI model development, training, and deployment.

• Fluency with at least one object-oriented programming language from Java, Python, or Scala is highly desirable, as these skills are critical for developing robust applications and managing data workflows effectively. SQL proficiency is also valued for database operations.

• Familiarity with data security, compliance, and governance best practices.

• Strong problem-solving skills, attention to detail, and ability to work collaboratively with cross-functional teams.

• Excellent communication skills and ability to tell insightful stories using data and also manage communication within internal teams and stakeholders.

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

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.

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