Senior Data Platform Engineer - Onsite Weekly

Intuitive

Santa Clara (CA)

On-site

USD 160,000 - 189,000

Full time

5 days ago
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Job summary

Intuitive is seeking a Senior Software Engineer to design, build, and evolve a scalable Data-as-a-Service platform powering Intuitive Digital products. You will develop high-throughput streaming pipelines, APIs, and data models in collaboration with engineering teams.

Ideal candidates have 5+ years of experience, proficiency in multiple languages, and strong background in Spark, Kafka, and cloud-based data solutions. Onsite position with a focus on reliability and performance.

Qualifications

  • Fluent coding in at least two major programming languages.
  • Hands-on experience building data pipelines and distributed systems with Spark, Kafka, Elasticsearch, Snowflake, and Airflow.
  • Experience with CI/CD workflows, testing, and IaC practices.
  • Experience with AWS and/or GCP.
  • Bachelor's or master's degree in CS/Engineering with ~5+ years relevant experience.

Responsibilities

  • Design, build, and evolve a scalable DaaS platform for Intuitive Digital products.
  • Develop high-throughput, low-latency data pipelines and streaming components.
  • Create self-service APIs and applications for data access.
  • Collaborate with core teams to evolve data models and architectures.
  • Mentor junior engineers and lead moderately complex data projects.

Skills

Polyglot coding
Data pipelines
Distributed systems
Two languages
High-throughput systems

Education

Bachelor's or Master's in CS/Engineering

Tools

Apache Spark
Kafka
Elasticsearch
Snowflake
Airflow
Kubernetes
Postgres

Job description

Intuitive is seeking a Senior Software Engineer to design, build, and evolve a scalable Data-as-a-Service platform powering Intuitive Digital products. You will develop high-throughput streaming pipelines, APIs, and data models in collaboration with engineering teams.

Ideal candidates have 5+ years of experience, proficiency in multiple languages, and strong background in Spark, Kafka, and cloud-based data solutions. Onsite position with a focus on reliability and performance.

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