Senior Software Developer, Data Platform

5+ years of experience in data engineering, analytics engineering, or related technical roles focusing on building tools and platforms. Expert-level proficiency in Python, writing clean, maintainable code for robust, production-grade systems. Proficiency with Kubernetes and container orchestration, including deploying and managing data services in production. Experience with Helm charts for packaging, versioning, and deploying applications on Kubernetes. Strong infrastructure skills, including knowledge of infrastructure-as-code tools (e.g., Terraform, CloudFormation) and cloud platforms (AWS preferred). Strong knowledge of dbt and modern analytics engineering practices. Experience with workflow orchestration tools, particularly Airflow. Hands-on experience with modern data warehouses like Redshift and Snowflake, including performance optimization and cost management. A product mindset for internal tools. Strong communication and collaboration skills.

Build developer tools and frameworks for data analysts and scientists (e.g., data quality systems, observability platforms, testing frameworks, dbt development experiences). Drive cross-team platform initiatives by engaging stakeholders, gathering requirements, and translating them into technical solutions. Collaborate with the Data Integrations team on Airflow orchestration and workflow reliability. Design and implement data quality and observability solutions. Enhance the dbt developer experience. Apply software engineering best practices to analytics infrastructure (version control, CI/CD, testing, documentation). Champion platform-as-a-product thinking for internal data practitioners.