1. Digital Health Jobs
  2. OneImaging

Data Engineer

Posted on February 22, 2026 (3 months ago)

This job post is archived - the company is no longer hiring for this position.

Check out other job posts of this company here!

Data Engineer

OneImaging is transforming medical imaging access with a concierge approach and a vetted radiology network. We reduce imaging costs by 60-80% and improve patient access to quality radiology services.

What you'll do

You will design, implement, and maintain the operational data infrastructure that powers analytics and platform offerings, working closely with sales, customer success, and engineering.
  • Data Pipeline & Integration
    • Design, build, and maintain end-to-end data pipelines using Databricks (SparkSQL, PySpark) for ingestion, transformation, and processing.
    • Integrate structured and unstructured sources including medical imaging systems, EMRs, change-data-capture from SQL databases, and external APIs.
  • Analytics & Visualization
    • Collaborate with analytics to create, optimize, and maintain dashboards in Looker and implement data modeling best practices.
  • Cloud Infrastructure
    • Deploy and manage cloud solutions on AWS (S3, EMR, Lambda, EC2) for scalability and cost-efficiency using IaC tooling (Terraform and Databricks Asset Bundles).
    • Develop and maintain CI/CD pipelines for data services and applications.
  • Database Management
    • Oversee MongoDB and PostgreSQL including schema design, indexing, and performance tuning to ensure data integrity and optimized querying.
  • Security & Compliance
    • Adhere to healthcare compliance requirements (e.g., HIPAA) and implement data privacy, error handling, logging, and monitoring frameworks.
    • Implement data governance frameworks to maintain integrity and confidentiality.
  • Collaboration & Documentation
    • Work cross-functionally with data scientists, product managers, and engineering teams to define data workflows and document pipelines, architecture, and processes.

About you

We are looking for an enthusiastic problem-solver with experience building scalable data systems and hands-on experience in Databricks, Looker, AWS, MongoDB, PostgreSQL, and Terraform.
  • Education & Experience
    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Technical Skills
    • Databricks (Spark): Proven expertise building large-scale data pipelines.
    • Looker: Experience creating dashboards, data models, and self-service analytics.
    • AWS: Proficient with S3, EMR, Lambda, IAM, EC2, etc.
    • MongoDB & PostgreSQL: Schema design, query optimization, and high-volume database management.
    • SQL & Scripting: Strong SQL plus familiarity with Python, Scala, or Java.
  • Soft Skills
    • Excellent communication and teamwork.
    • Strong problem-solving and analytical thinking.
    • Detail-oriented and focused on reliable, high-quality solutions.
  • Preferred
    • Experience in healthcare or imaging (DICOM, HL7/FHIR).
    • Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD.
    • Knowledge of machine learning workflows and MLOps practices.

Fraud, Security & Equal Employment Opportunity

Please be aware of job scam attempts. OneImaging uses the oneimaging.com email domain exclusively. Report suspicious contacts to law enforcement and to [email protected].
OneImaging is an Equal Employment Opportunity employer and is committed to diversity and to providing accommodations for qualified individuals with disabilities. For accommodation requests, contact [email protected].

How to Apply

Apply using the Greenhouse online application form on this page: click the "Apply" button, complete the required fields, and attach your Resume/CV and optional Cover Letter. Accepted file types: pdf, doc, docx, txt, rtf.

Contact & Safety

If you have questions about the application or need accommodations, contact [email protected]. To report suspected scams, contact [email protected]. OneImaging uses the oneimaging.com email domain only; be cautious of other domains.