Company Overview:

The team develops an advanced AI-powered analytics platform designed for apps, games, and e-commerce businesses. The technology provides accurate lifetime value (LTV) predictions within hours, enabling businesses to scale their advertising with confidence. By integrating product and marketing analytics into a unified interface, the platform delivers valuable insights that drive growth and profitability. Founded in 2023 and based in San Francisco, the team is committed to transforming marketing through innovation and data-driven strategies.

Responsibilities

• Design, build, and manage scalable data pipelines and architectures that facilitate the collection, transformation, and storage of data
• Design and implement ELT processes
• Implement data validation and quality checks to ensure accuracy and consistency, maintaining high data quality and integrity
• Work closely with data scientists and customer success analytics teams, providing the necessary infrastructure and tools to support data-driven decision-making

Requirements

• 5+ years of data engineering experience
• Excellent knowledge of SQL and Python
• Experience building services using object-oriented programming languages
• Hands-on experience with dbt (data build tool)
• Experience working with OLAP data warehouses (e.g., Snowflake)
• Strong understanding of data structures and storage formats
• Experience with distributed messaging systems (e.g., Apache Kafka or similar)
• Knowledge of Apache Airflow or equivalent workflow orchestration tools
• Experience with AWS cloud platforms and services
• Excellent written and verbal communication skills

Nice to Have

• Practical experience and familiarity with ClickHouse

If you're passionate about driving innovation in marketing analytics and eager to contribute to a dynamic team that's reshaping the industry, we'd love to hear from you!