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.
- Implement data governance frameworks to maintain data integrity and confidentiality.
- Collaboration & Documentation
- Work cross-functionally with data scientists, product managers, and other engineering teams to gather 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.
- Preferred
- Experience in healthcare or imaging (e.g., 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. Our job postings cover multiple career levels and individual compensation will depend on various factors, including qualifications, skills, experience, location, and applicable laws. In addition to base salary, this role is eligible to participate in our equity incentive and competitive benefits plans.
Please be aware of recent job scam attempts. Our team uses the oneimaging.com email domain exclusively. If you have been contacted by someone claiming to be a OneImaging recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to [email protected].
Equal Employment Opportunity:OneImaging is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views, or other applicable legally protected characteristics.
OneImaging is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
Skills Required
- 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
- Proven expertise in building large-scale data pipelines using Databricks
- Experience in creating dashboards and self-service analytics solutions with Looker
- Proficient with AWS core services like S3, EMR, Lambda, EC2
- Demonstrated ability to design schemas and manage MongoDB and PostgreSQL databases
- Strong SQL skills, plus familiarity with Python, Scala, or Java
- Excellent communication and team collaboration abilities
- Experience in healthcare or imaging (e.g., DICOM, HL7/FHIR)
- Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD pipelines
OneImaging Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about OneImaging and has not been reviewed or approved by OneImaging.
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Fair & Transparent Compensation — Pay structure is described as competitive, with structured pay bands, defined commission tiers, and clear earning potential for applicable roles. The organization also emphasizes transparent compensation practices and reimbursement/per diem policies for work expenses.
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Strong & Reliable Incentives — Variable pay components include performance bonuses and role-based commission tiers intended to reward outcomes. Stated policies highlight predictable incentive structures tied to role scope.
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Leave & Time Off Breadth — Time-off policies include generous PTO with an unlimited PTO approach. This design signals ample flexibility for rest and personal needs.
OneImaging Insights
What We Do
OneImaging is the nation's leading comprehensive radiology network, reducing the cost of medical imaging by as much as 80%
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