Software Engineer, Data Platform

Natera is a global leader in cell-free DNA testing, dedicated to oncology, women’s health, and organ health. They are seeking a Software Engineer, Data Platform to develop platform capabilities and reusable engineering components that support trusted data products across teams. The role involves building shared platform services, automation, and collaborating with engineers to enhance platform usability and operational readiness.

Responsibilities:

• Build shared platform services, tooling, and automation that support trusted data products across teams and domains
• Develop reusable engineering patterns for ingestion, transformation, publishing, and operational workflows
• Build and maintain platform components, automation, and engineering utilities using Python and other appropriate technologies
• Contribute to internal tools and workflows that improve platform usability and reduce manual effort
• Partner with senior engineers to implement scalable, maintainable platform solutions
• Use infrastructure as code and CI/CD practices to improve consistency, repeatability, and maintainability
• Support secure integration patterns for internally managed tools and connected SaaS solutions
• Strengthen platform operability through observability, production-ready patterns, and practical automation
• Collaborate with engineering and cross-functional stakeholders to turn platform needs into reliable technical solutions
• Apply AI-assisted development practices where they improve engineering productivity and workflow efficiency
• Contribute to strong engineering standards through thoughtful implementation, code quality, testing, and peer review

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• 3+ years of software engineering, platform engineering, or related experience
• Strong programming experience in Python
• Experience building production-grade applications, services, APIs, internal tools, or platform components
• Experience working with cloud environments, including AWS or similar platforms
• Experience working with data platforms, data-intensive systems, or engineering workflows that support data products
• Experience designing and building systems with attention to reliability, maintainability, and operational supportability
• Familiarity with infrastructure automation, CI/CD practices, and modern software delivery workflows
• Familiarity with secure connectivity, networking concepts, and enterprise integration patterns
• Strong problem-solving skills and the ability to work effectively across engineering teams
• Experience with modern data platform technologies such as Snowflake, dbt, or similar tools
• Experience with Terraform, GitLab CI/CD, or similar infrastructure and delivery tooling
• Experience building internal platform tooling for engineering or data users
• Experience working on shared platform components or common engineering frameworks
• Experience integrating third-party SaaS tools into enterprise environments
• Experience with metadata, governance, lineage, or data quality workflows
• Experience improving developer experience through templates, automation, self-service, or platform tooling
• Experience with observability and operational practices for platform services and data workflows
• Experience using AI-assisted development tools such as Cursor, Claude, or similar tools in day-to-day engineering workflows
• Familiarity with MCP-style tooling or related engineering integration patterns