Data Engineer Specialist - Ads Campaign Operations - Gamma (Hybrid) (For Pooling)

Google Operations Center helps Google users and customers solve problems and achieve their goals through a culture of continuous improvement and collaboration. The Data Engineer Specialist will manage data for email marketing campaigns, including audience targeting, SQL-based campaign operations, data pipeline maintenance, reporting, troubleshooting, and communicating campaign insights to stakeholders.

Responsibilities:

• Collaborate with stakeholders to manage audience signals, build target audiences, and leverage them throughout the campaign execution process
• Create, manage, and validate campaign audiences using SQL scripting
• Collaborate with analytics teams on experiment setup, providing insights into campaign signals, explaining system behavior and its impact on setup, and confirming feasibility of implementation
• Maintain and operate data pipelines, ensuring smooth operation, resolving issues, and implementing improvements for efficiency and effectiveness
• Communicate campaign performance results to teams and stakeholders
• Create reporting dashboards and ad hoc reports for marketers
• Build key relationships with stakeholders and communicate technical information clearly to non-technical audiences
• Serve as the subject matter expert for data availability for marketing campaigns

Requirements:

• 5+ years of experience with SQL, including data pipeline building and maintenance, and crafting complex SQL statements for precise audience targeting
• Ability to leverage code libraries for streamlined code readability and enhanced efficiency
• Experience working with data visualization tools such as Tableau, Looker, and Google's internal PLX/Data Studio
• 2-3 years of experience in data pipelines and analytics specifically for email marketing
• Proven experience in a marketing environment within the IT industry
• Experience with integrated development environments like XCode, VSC, or Eclipse (Google internal: Cider) and version control systems like GitHub (Google internal: google3)
• Excellent collaboration and communication skills and stakeholder management
• Ability to clearly communicate data-driven observations and recommendations
• Proven expertise in email marketing best practices, including dynamic content, testing methodologies, deliverability, and automation
• Experience using GenAI (generative AI) to inform data targeting and personalization in email marketing
• Experience designing, executing, and evaluating A/B tests for email marketing
• Additional languages besides SQL (e.g. Python) are a plus, but not required