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Software Engineer (Data Platform) - Remote

Posted 2 days ago
Software Development
Full Time
Worldwide

Overview

Reach Security is looking for Data Platform Engineers to design, build, and manage the infrastructure that powers data pipelines and analytic query engines, utilizing advanced technologies.

In Short

  • Architect and maintain scalable data platform infrastructure.
  • Optimize analytic query engines using Trino, Redshift, and BigQuery.
  • Design robust data management solutions with Apache Iceberg.
  • Collaborate with Data Engineering and Analytics teams.
  • Develop observability frameworks for monitoring data pipelines.
  • Implement best practices for data modeling and schema design.
  • Ensure data integrity and quality across various architectures.
  • Identify opportunities for enhancing platform scalability and efficiency.

Requirements

  • 3+ years of experience in data platform engineering.
  • Deep experience with analytic query engines and platforms.
  • Expertise in designing platforms supporting Medalion architecture.
  • Solid foundation in automated schema detection and performance optimization.
  • Proficiency with cloud platforms (AWS, Azure, GCP).
  • Strong skills in Python and infrastructure automation tools.
  • Excellent problem-solving abilities in complex data scenarios.
  • Strong communication skills for articulating platform design concepts.
  • Proactive and collaborative mindset.
  • Must be a US citizen or Green Card holder.

Benefits

  • Competitive salary and equity.
  • Comprehensive health, dental, and vision insurance.
  • Remote work flexibility.

R.S

Reach Security

Reach Security is a pioneering company in the cybersecurity sector, dedicated to building self-driving cybersecurity solutions. Utilizing the first generative AI for cybersecurity, Reach Security aims to enhance organizations' security postures by effectively managing their existing security stacks. The company focuses on innovative technologies to provide robust data management and analytics solutions, ensuring high-quality, scalable, and reliable infrastructure for data platforms.

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