SeniorDataSoftwareEngineer

## What your day could consist of Architect and Build Pipelines by designing, developing, and maintaining high-throughput data pipelines that seamlessly transform data across our ecosystem Execute Data Modeling and Schema Design, utilizing DDL and DML operations to optimize data structures for both performance and long-term scalability Champion Engineering Excellence by implementing automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform) to ensure system health and reliability. Collaborate Cross-Functionally with Data Science and AI teams to engineer feature stores and automated MLOps pipelines, moving cutting-edge research into live production environments Drive System Monitoring and health checks, ensuring our containerized and orchestrated environments (Kubernetes, Docker, Airflow) run at peak efficiency. Act as a Technical Advisor to stakeholders, translating complex data architectures into clear, non-technical conversations that guide business decisions ## Technical environment Databases: MySQL, Amazon Aurora, Amazon RDS, PostgreSQL ata Storage and Analytics: AWS S3, Apache Iceberg, Snowflake, Apache Druid, Looker Data Processing and Transformation: Apache Spark, DBT Languages: Python (primary) Infrastructure as Code: Terraform Containerization and Orchestration: Kubernetes, Docker, Airflow ## The Ideal Candidate Will Bring 5+ years of professional software engineering experience, with a proven track record of building and maintaining production-grade data systems. Deep Data Architecture expertise, with the ability to design modern data stack components and schemas that balance immediate performance with future growth. Proficiency in Infrastructure as Code, specifically using Terraform to manage and deploy your own infrastructure. A high level of software rigor, including a strong background in automated testing, CI/CD, and general software engineering best practices Expert-level SQL skills (particularly MySQL), with a focus on optimizing com