Tech Stack

Description

You will design, build, and maintain scalable data infrastructure using Databricks, Looker, AWS, MongoDB, PostgreSQL, and Terraform. Your work powers analytics and platform offerings, directly impacting healthcare cost reduction and patient access to radiology services.

Requirements

• 7+ years of professional experience in data engineering
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Proven expertise in building large-scale data pipelines with Databricks (Spark)
• Experience with Looker dashboards and data modeling
• Proficient with AWS (S3, EMR, Lambda, EC2) and infrastructure as code (Terraform)

Responsibilities

• Design, build, and maintain end-to-end data pipelines using Databricks (SparkSQL, PySpark)
• Integrate data from structured and unstructured sources, including medical imaging systems and EMRs
• Create and optimize dashboards in Looker for analytics visualization
• Deploy and manage cloud solutions on AWS using Terraform and manage CI/CD pipelines
• Oversee MongoDB and PostgreSQL databases including schema design and performance tuning