Data Engineer Consumer Data AI ML
@ Yahoo

Hybrid
$120,000
Hybrid
Full Time
Posted 24 days ago

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Job Details

About the Role

The Yahoo Data Engineer Consumer Data AI ML role connects brands and partners with hundreds of millions of people. You will design, develop and maintain data pipelines using GCP services, work with GA4 data, and generate actionable insights through business intelligence tooling.

Team and Impact

Join the Yahoo Consumer Data Team managing a petabyte warehouse to glean insights from Yahoo Media products. Your work influences product changes and improves user experiences across Yahoo properties.

Responsibilities

  • Build, test, and maintain data pipelines with BigQuery, Dataflow, and Cloud Storage.
  • Work with Google Analytics 4 (GA4) data and event-based data models.
  • Extract and integrate data using GA Reporting API and GA4 Data Streams.
  • Design and optimize database schemas and data models.
  • Ensure data quality with validation checks and error monitoring.
  • Collaborate with data scientists, analysts, and stakeholders.
  • Develop and automate dashboards for key metrics and trends.
  • Troubleshoot data issues and improve data infrastructure.
  • Stay updated with GCP and Google Analytics best practices.

Qualifications

  • BS in Computer Science or related field or equivalent experience.
  • Passion for AI/ML and modern technologies.
  • Experience or interest in GCP services (BigQuery, Dataproc, Composer, Dataflow, etc.) or AWS equivalent.
  • Familiarity with data modeling, ETL processes, and BI tools like Google Analytics or Looker.
  • Strong attention to detail and problem-solving skills.
  • Effective communication and teamwork abilities.

Additional Information

The role offers flexible hybrid work options with occasional in-person events. Yahoo is an equal opportunity employer committed to diversity, inclusion and accessibility during the hiring process.

Compensation and Benefits

Salary ranges from $76,500 to $159,375 per year. Benefits include healthcare, 401k, backup childcare, education stipends, and more.

Key skills/competency

GCP, BigQuery, Dataflow, GA4, ETL, Data Pipelines, SQL, Cloud Storage, Data Modeling, BI Tools

How to Get Hired at Yahoo

🎯 Tips for Getting Hired

  • Customize your resume: Highlight GCP and GA4 project experience.
  • Research Yahoo: Understand their data culture and innovation.
  • Leverage networking: Connect with current Yahoo engineers on LinkedIn.
  • Practice technical interviews: Focus on data pipeline and modeling concepts.

📝 Interview Preparation Advice

Technical Preparation

Review GCP BigQuery and Dataflow documentation.
Practice GA4 data extraction and integration techniques.
Brush up on SQL and ETL process fundamentals.
Study database schema design best practices.

Behavioral Questions

Describe a challenging data pipeline project.
Explain collaboration with cross-functional teams.
Discuss a time you ensured data quality.
Share experience solving technical problems.

Frequently Asked Questions