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Natera

Software Engineer, Data Platform

Natera

Software Engineer developing shared platform capabilities and automation for Natera's modern data platform. Collaborating with teams to improve data product build and operation.

Posted 4/29/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $105,700 - $132,100 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudPython

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Benefits

Comp & perks
  • Comprehensive medical plans
  • Dental plans
  • Vision plans
  • Life insurance
  • Disability plans
  • Free testing for employees and their immediate families
  • Fertility care benefits
  • Pregnancy and baby bonding leave
  • 401k benefits
  • Commuter benefits
  • Employee referral program

ATS Keywords

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Hard Skills & Tools
PythonCI/CDinfrastructure as codedata platformsAPIsproduction-grade applicationsautomationengineering workflowsobservabilityAI-assisted development
Soft Skills
problem-solvingcollaborationcommunicationattention to detailengineering standards
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Engineeringrelated technical field