Software Engineer: Real-Time Data Platform & Self-Service Analytics

Intuitive

San Fernando (CA)

On-site

USD 130,000 - 210,000

Full time

8 days ago

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Job summary

Intuitive seeks a Software Engineer to build a modern, scalable Data as a Service platform powering Digital products and supporting 2,000+ engineers. You will own real-time and micro-batch pipelines, APIs, and data services to enable high-throughput, low-latency access for analytics and product development.

You will define architecture, foster self-service analytics, and mentor teams while replacing legacy processes with robust, scalable solutions that accelerate engineering velocity and

Qualifications

  • Experience designing and shipping scalable data platforms.
  • Proficiency building real-time and batch data pipelines.
  • Strong collaboration with analytics, engineering, and product teams.

Responsibilities

  • Design and build scalable, distributed Data as a Service that ingest, process, and serve data from various sources in real time and batch modes.
  • Develop and maintain robust APIs, data services, and tooling for secure, efficient data access.
  • Partner with stakeholders to evolve data contracts and models for new use cases and semantic consistency.
  • Implement CI/CD practices for data services with automated data quality, reliability, and schema evolution tests.
  • Champion a self-service data culture by creating discoverable, well-documented data products for autonomous access.
  • Act as a technical leader driving best practices, mentoring teammates, and improving how data is produced and consumed across the organization.

Skills

Distributed systems
Data streaming
APIs
CI/CD
Mentorship

Job description

Intuitive seeks a Software Engineer to build a modern, scalable Data as a Service platform powering Digital products and supporting 2,000+ engineers. You will own real-time and micro-batch pipelines, APIs, and data services to enable high-throughput, low-latency access for analytics and product development.

You will define architecture, foster self-service analytics, and mentor teams while replacing legacy processes with robust, scalable solutions that accelerate engineering velocity and

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