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.
We are building a Customer Data Platform (CDP) designed to unlock the full potential of customer experience (CX) across our products and services. This role offers the opportunity to design and scale a platform that unifies customer data from multiple sources, ensures data quality and governance, and provides a single source of truth for analytics, personalization, and engagement.
As a key member of the data engineering team, you will architect and implement the pipelines, storage layers, and integrations that power our CDP. You’ll work with product, data science, and engineering stakeholders to deliver a robust platform that supports real-time decision-making, personalization at scale, and actionable customer insights.
This is a high-impact, hands-on engineering role where you’ll shape the data foundation that directly influences how we understand and serve our customers.
What You Will Be DoingDesign and implement Five9’s Customer Data Platform solutions and enable production use cases for customers
Design and develop highly scalable and resilient services for ingesting large-scale datasets
Demonstrate strong ownership by ensuring operational excellence with a sharp focus on monitoring, observability, and system reliability
Develop and orchestrate ETL/ELT pipelines using Apache Airflow
Collaborate with cross-functional partners and lead technical initiatives independently end-to-end
Design, build, and optimize distributed query engines such as Apache Spark or Snowflake to support complex data workloads
Write, review, or provide feedback on technical design proposals from others
5–7 years of software/data engineering and data platform experience
Extensive experience with data transformation and modeling, including advanced features and best practices
Deep knowledge of Snowflake for data warehousing, including optimization, security, and cost management
Good understanding of data streaming technologies such as Kafka/Kafka Connect
Strong knowledge of highly scalable distributed systems, microservices, REST APIs
Strong proficiency in object-oriented and/or functional programming languages such as Java, .NET, Python, and SQL for data processing, transformation, and pipeline development
Knowledge of Apache Airflow for workflow orchestration is nice to have
Understanding of containerization and Kubernetes concepts
Experience with the AWS cloud platform and infrastructure-as-code practices
Maintain high standards of code quality with a keen eye for test automation and operational excellence
Track record of delivering scalable data engineering solutions that support analytics, machine learning, and operational use cases
Excellent written and verbal communication and interpersonal skills
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent training, fellowship, or work experience
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.
View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal.
Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.
Skills Required
- 5-7 years of software/data engineering and data platform experience
- Experience with data transformation and modeling, including advanced features and best practices
- Deep knowledge of Snowflake for data warehousing, including optimization, security, and cost management
- Design, build, and optimize distributed query engines such as Apache Spark or Snowflake
- Good understanding of data streaming technologies such as Kafka and Kafka Connect
- Design and develop highly scalable and resilient services for ingesting large-scale datasets
- Strong proficiency in object-oriented and/or functional programming languages such as Java, .NET, Python, and SQL
- Develop and orchestrate ETL/ELT pipelines using Apache Airflow
- Understanding of containerization and Kubernetes concepts
- Experience with the AWS cloud platform and infrastructure-as-code practices
- Strong knowledge of highly scalable distributed systems, microservices, and REST APIs
- Maintain high standards of code quality, test automation, and operational excellence
- Track record of delivering scalable data engineering solutions that support analytics, machine learning, and operational use cases
- Excellent written and verbal communication and interpersonal skills
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
