Senior Principal Data Engineer – News Analytics Platform

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.

A little About Us:

Yahoo News is rebuilding how we turn raw user data into trusted insight, consolidating our event data in the cloud and standardizing how we transform, model, and serve analytics across the organization. We're looking for a Senior Principal Data Engineer to help us design and implement our data analytics stack end to end: setting the architectural direction, building the foundational pipelines that turn raw data into reliable business-ready data products, and establishing the patterns the rest of the team will build on for years. This is a senior technical leadership role for someone who has opinions on how to raise the bar for how an organization does analytics engineering, not just administering an existing one.

Responsibilities:

• Own the architecture of our analytics stack's modeling and orchestration layers, setting technical direction for how raw and intermediate data become trusted, consumer-ready data products.

• Design and build the foundational, well-tested data pipelines and establish the standards, patterns, and tooling the broader team will adopt.

• Establish standards and governance for integrating AI-assisted engineering tools (e.g., Claude Code, Codex, Cursor) within our data engineering practices to accelerate development cycles while maintaining strict code quality, security, and schema validation.

• Translate ambiguous business questions into durable, version-controlled data models that scale to multi-year horizons and tens of millions of daily users.

• Partner with and influence the central data team, analysts, product managers, and leadership to define the metrics, dimensions, and data contracts the business depends on, and to deliver data products that meet their needs.

• Drive the migration of business logic out of dashboards into maintainable, version-controlled pipelines, eliminating inconsistency and sprawl.

• Build datasets that support experimentation and growth analysis as the platform matures.

• Optimize our cloud data warehouse for performance and cost at scale.

A lot About You:

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

• 10+ years of software/data engineering experience, with a strong emphasis on system design, data architecture, and technical leadership.

• Demonstrated experience architecting and delivering large-scale analytics or data platforms end to end, and setting technical direction adopted by others.

• Deep expertise in SQL and modern data transformation and modeling practices, with a track record of establishing standards and patterns at scale.

• Extensive hands-on experience with cloud data warehouses (BigQuery or equivalent) and pipeline orchestration in production.

• Proven ability to operate across the full analytics stack, from raw data ingestion through modeling to reporting, making sound architecture and tooling decisions that hold up over time.

• Deep, hands-on experience with event/analytics data (e.g., GA4) and experimentation platforms, including how experiment assignment and exposure data flow into analytics.

• Proficiency in Python for pipeline tooling and automation

• Experience with advanced AI-assisted development workflows (Claude Code, Codex, Cursor, etc) is highly desirable.

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 $150,380.00 - $327,025.00/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.

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