Senior Data Engineer - Consumer Data AI / ML

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.

Summary:

We are looking for a Senior Data Engineer to design, build and optimize the scalable data pipelines that power our 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 its entire lifecycle.

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

• Troubleshoot and optimize the health of cloud-based data infrastructure to ensure reliability.

• 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.

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

Qualifications:

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

• 5+ years of experience in Data Engineering, with a heavy emphasis on backend data systems and pipeline design.

• 3+ 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.

• High proficiency in Java (preferred) or Python, along with proficiency in SQL 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.

• Bonus (Not Required): Previous exposure to or interest in building pipelines for Machine Learning (ML) model training and deployment.

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.

The compensation for this position ranges from $136,125.00 - $283,750.00/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.