15 days ago
San Fernando, CA, USAMid Level
H1B sponsor
Base Salary
$130k - $221k/yr
Responsibilities
- Design and build scalable distributed Data as a Service systems for real-time and batch ingestion, processing, and serving of data.
- Develop and maintain APIs, data services, and tooling for secure and efficient internal data access.
- Define and evolve data contracts and models with engineering, analytics, and business stakeholders.
- Implement CI/CD practices, automated data-quality testing, service-reliability testing, and schema-evolution processes.
- Build discoverable, documented data products that enable self-service analytics and autonomous data access.
- Drive data-domain best practices, mentor teammates, and improve how data is produced, shared, and consumed.
Requirements
- Have a quantitative background in Computer Science, Engineering, Physics, or Math, or at least 3 years of hands-on experience in a technically demanding role.
- Be proficient in at least two major programming languages, such as Python, Go, Scala, C++, or Java.
- Have strong software design and architecture knowledge.
- Have experience building data pipelines and working with distributed systems using technologies such as Apache Spark, Kafka, Elasticsearch, Snowflake, and Airflow.
- Have a minimum bachelor’s or master’s degree in computer science, information technology, or a related field.
- Experience with Data Platform or Infrastructure Engineering teams is a bonus.
- Hands-on experience with AWS, Docker, Kubernetes, Kafka, Elasticsearch, Apache Airflow, and Terraform is a bonus.
- Familiarity with CI/CD practices for DataOps and deployment automation is a bonus.
Benefits
- Fully onsite, day-shift employee position.
- Market-competitive compensation package including base pay, incentives, benefits, and equity.
- Some roles may require current proof of vaccination against certain diseases, including COVID-19.
- Reasonable accommodations are available during the application and interview process.
Tech Stack
Apache AirflowApache KafkaApache SparkAWSC++DockerElasticsearchGoJavaKubernetesPythonScalaSnowflakeTerraform
Categories
BackendData Engineering
About Intuitive
Intuitive designs and manufactures robotic-assisted systems for minimally invasive procedures used by hospitals and surgeons, including the da Vinci surgical system and the Ion endoluminal platform for lung biopsy. Its business model combines capital equipment sales with recurring revenue from instruments, accessories, software, and service/training contracts. Founded in 1995 and headquartered in Sunnyvale, California, Intuitive is publicly traded on NASDAQ (ISRG) and serves healthcare providers worldwide.