Senior Software Engineer, Data Platform

2 hours, 14 minutes ago
Full-time
Senior
Software Development
Natera

Natera

Natera specializes in cell-free DNA testing, providing advanced genetic testing services for oncology, women's health, and organ health to help families diagnose and manage genetic diseases.

Pharmaceuticals
1K-5K
Founded 2004

Description

  • Design and build shared platform capabilities that support trusted data products across teams and domains.
  • Develop internal services, tooling, and automation that improve platform usability and reduce manual effort.
  • Create 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 the architecture and evolution of the core data platform and supporting engineering workflows.
  • Use infrastructure as code and CI/CD practices to improve consistency, repeatability, and maintainability.
  • Help define secure integration approaches for internally managed tools and connected SaaS solutions.
  • Strengthen platform operability through observability, supportable production patterns, and practical automation.
  • Partner with engineering and cross-functional stakeholders to translate platform needs into scalable technical solutions.
  • Contribute to a more AI-enabled developer experience by applying AI-assisted development practices where they improve engineering productivity and workflow efficiency.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • 5+ years of software engineering, platform engineering, or data platform engineering experience.
  • Strong programming experience in Python.
  • Experience building production-grade systems, services, APIs, internal platforms, or engineering tooling.
  • Deep hands-on experience working with AWS in cloud-based engineering environments.
  • Experience with data platforms, data-intensive systems, or engineering workflows that support data products.
  • Experience with Terraform or similar infrastructure-as-code tools.
  • Experience with CI/CD workflows such as GitLab CI/CD or similar delivery automation tools.
  • Experience designing systems with attention to reliability, maintainability, and operational supportability.
  • Familiarity with secure connectivity, private networking, and enterprise integration patterns.
  • Experience building or supporting internal platform tooling for engineering or data users (preferred).
  • Experience designing and operating shared data platform components at scale (preferred).
  • Experience with modern data platform technologies such as Snowflake, dbt, Redshift or similar tools (preferred).
  • Experience integrating third-party SaaS tools into enterprise platform environments (preferred).
  • Experience with metadata, governance, lineage, or data quality workflows (preferred).
  • Experience improving developer experience through templates, automation, self-service, or platform tooling (preferred).
  • Experience with observability and operational practices for platform services and data workflows (preferred).
  • Experience using modern AI-assisted development tools such as Cursor, Claude, or similar tools in day-to-day engineering workflows (preferred).
  • Familiarity with MCP-style tooling or related integration patterns that support AI-assisted engineering workflows (preferred).

Benefits

  • Remote USA location.
  • Pay range of $125,000 to $156,300 USD.
  • Comprehensive medical, dental, vision, life, and disability coverage for eligible employees and dependents.
  • Free testing for employees and their immediate families.
  • Fertility care benefits.
  • Pregnancy and baby bonding leave.
  • 401(k) benefits.
  • Commuter benefits.
  • Generous employee referral program.

Interested in this position?

Apply directly on the company website

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