Sr. Data Engineer

• Design 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

Skills

• 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