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. , 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.

Requirements (E.G., HIPAA)

and best practices for data privacy and security. Implement error handling, logging, and monitoring frameworks to ensure reliability and transparency. Implement data governance frameworks to maintain data integrity and confidentiality.

Requirements

and define data workflows. Document data pipelines, system architecture, and processes for internal and external stakeholders. About you: Education & Experience 7+ years of professional experience in data engineering or a similar role.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Technical Skills Databricks (Spark): Proven expertise in building large-scale data pipelines. Looker: Experience in creating dashboards, data models, and self-service analytics solutions.

AWS: Proficient with core services like S3, EMR, Lambda, IAM, EC2, etc. MongoDB & PostgreSQL: Demonstrated ability to design schemas, optimize queries, and manage high-volume databases. SQL & Scripting: Strong SQL skills, plus familiarity with Python, Scala, or Java for data-related tasks.

Soft Skills Excellent communication and team collaboration abilities. Strong problem-solving aptitude and analytical thinking. Detail-oriented, with a focus on delivering reliable, high-quality solutions.

, DICOM, HL7/FHIR). Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD pipelines. Knowledge of machine learning workflows and MLOps practices.

The base salary range for this position is $120,000 - $180,000.

Compensation

will depend on various factors