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Join Zynga's Central Analytics team as a Senior Data Engineer to build high-quality data marts, tools, and AI-powered workflows that shape player experience and drive game growth across our portfolio of 6+ billion-downloaded games including FarmVille, Words With Friends, Zynga Poker, and many others.
You will work alongside experienced Analytics Engineers, partnering closely with game and marketing analysts to deliver solutions using a modern, cutting-edge technical stack. The role requires learning quickly, thriving in a fast-paced environment, and collaborating closely within the team and with stakeholders.
Key Responsibilities:
- Write and optimize complex SQL queries to support experimentation and model feature engineering across large-scale player datasets
- Design, build, and maintain cross-game data marts, providing clean and transformed data ready for analysts
- Develop scalable, reusable, and maintainable code, tools, and frameworks adoptable across different game teams
- Partner with game analytics teams to co-design, build, and maintain data tools and products used across multiple applications
- Build and maintain end-to-end AI pipelines to support daily analyst tasks
- Share knowledge across the team by educating game analysts on coding and software engineering best practices
The team runs a large production pipeline spanning ETLs, analytical tools, and AI/ML models, focusing on delivering innovative solutions to real-world problems in a collaborative environment committed to continuous improvement.
Requirements:
- Bachelor's degree in a quantitative field (Engineering, Computer Science, Mathematics, Statistics, or Physics)
- Advanced SQL skills, including experience with CTEs, query optimization, and large-scale data warehouses
- Advanced experience building and maintaining data pipelines in production environments using tools such as Airflow, Docker, S3, and CI/CD workflows
- Advanced experience in Python for developing production-level data analytics solutions
- Basic to intermediate experience integrating LLMs or working with generative AI tools and workflows
- Collaborative team player who builds trust, communicates openly, and contributes to shared success
- Fast learner who is proactive and comfortable working with ambiguity
- Detail-oriented with strong commitment to accuracy and high-quality outcomes
- Pragmatic ability to balance short-term delivery needs with long-term technical quality
Nice-to-haves:
- Experience creating and maintaining dashboards in Tableau or similar BI tools
- Background in mobile gaming industry
- Background in marketing analytics
