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