Data Engineer

Radiology is the second most used healthcare service, used by over 51% of the workforce annually. Despite the critical role of radiology in healthcare, the process for undergoing a medical imaging exam has remained unchanged for decades. OneImaging is solving this with a concierge approach and a premium-quality radiology network of over 5,000 vetted providers across 48 states, which also reduces imaging costs by 60-80%. Our solution helps patients and families access essential radiology services at fair prices and without surprise bills, all while delivering immediate savings and ROI for employers and payers on every exam.

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic problem-solver who excels at building scalable data systems and has hands-on experience with Databricks, Looker, AWS, MongoDB, PostgreSQL, and Terraform. You will work alongside sales, customer success and engineering to design, implement, and maintain the operational data infrastructure that powers our analytics and platform offerings.

What you'll do:

• Data Pipeline & Integration

• Design, build, and maintain end-to-end data pipelines using Databricks (SparkSQL, PySpark) for data ingestion, transformation, and processing.

• Integrate data from various structured and unstructured sources, including medical imaging systems, EMRs, Change-Data-Capture from SQL Databases, and external APIs.

• Analytics & Visualization

• Collaborate with the analytics team to create, optimize, and maintain dashboards in Looker.

• Implement best practices in data modeling and visualization for operational efficiency.

• Cloud Infrastructure

• Deploy and manage cloud-based solutions on AWS (e.g., S3, EMR, Lambda, EC2) to ensure scalability, availability, and cost-efficiency using IaC tooling (Terraform and Databricks Asset Bundles).

• Develop and maintain CI/CD pipelines for data-related services and applications.

• Database Management

• Oversee MongoDB and PostgreSQL databases, including schema design, indexing, and performance tuning.

• Ensure data integrity, availability, and optimized querying for both transactional and analytical workloads.

• Security & Compliance

• Adhere to healthcare compliance requirements (e.g., HIPAA) and best practices for data privacy and security.

• Implement error handling, logging, and monitoring frameworks to ensure reliability and transparency.