Senior Data Engineer

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.

Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.

Five9 is a leading provider of cloud software for the enterprise contact center market. Five9 offers our partners a solution that is reliable, secure, compliant and scalable, while creating exceptional customer experiences, increasing agent productivity and delivering tangible business results. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.

The Senior Data Engineer will help design and implement a Google Cloud Platform (GCP) Data Lake, build scalable data pipelines, and ensure seamless access to data for business intelligence and data science tools. They will support a wide range of projects while collaborating closely with management teams and business leaders. The ideal candidate will have a strong understanding of data engineering principles, data warehousing concepts, and the ability to document technical knowledge into clear processes and procedures.

Responsibilities

• Design, implement, and maintain a scalable Data Lake on GCP to centralize structured and unstructured data from various sources (databases, APIs, cloud storage).
• Utilize GCP services including Big Query, Dataform, Cloud Functions, and Cloud Storage to optimize and manage data workflows, ensuring scalability, performance, and security.
• Collaborate closely with data analytics and data science teams to ensure data is properly prepared for consumption by various systems (e.g. DOMO, Looker, Databricks)
• Implement best practices for data quality, consistency, and governance across all data pipelines and systems, ensuring compliance with internal and external standards.
• Continuously monitor, test, and optimize data workflows to improve performance, cost efficiency, and reliability.
• Maintain comprehensive technical documentation of data pipelines, systems, and architecture for knowledge sharing and future development.

Requirements

Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer.

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