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 4000 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 aData Engineerto join our dynamic team. The ideal candidate is an enthusiastic problem-solver who excels at building scalable data systems and has hands-on experience withDatabricksLookerAWSMongoDBPostgreSQL andTerraform. 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 youll do:
- Data Pipeline & Integration
- Design build and maintain end-to-end data pipelines usingDatabricks(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 inLooker.
- Implement best practices in data modeling and visualization for operational efficiency.
Cloud Infrastructure- Deploy and manage cloud-based solutions onAWS(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- OverseeMongoDBandPostgreSQLdatabases 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
- 3 years of professional experience in data engineering or a similar role.
- Bachelors or Masters 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 $120000 - $180000. Individual compensation will depend on various factors including qualifications skills experience location and applicable addition to base salary this role is eligible to participate in our equity incentive and competitive benefits plans.
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 premi...
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 4000 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 aData Engineerto join our dynamic team. The ideal candidate is an enthusiastic problem-solver who excels at building scalable data systems and has hands-on experience withDatabricksLookerAWSMongoDBPostgreSQL andTerraform. 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 youll do:
- Data Pipeline & Integration
- Design build and maintain end-to-end data pipelines usingDatabricks(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 inLooker.
- Implement best practices in data modeling and visualization for operational efficiency.
Cloud Infrastructure- Deploy and manage cloud-based solutions onAWS(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- OverseeMongoDBandPostgreSQLdatabases 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
- 3 years of professional experience in data engineering or a similar role.
- Bachelors or Masters 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 $120000 - $180000. Individual compensation will depend on various factors including qualifications skills experience location and applicable addition to base salary this role is eligible to participate in our equity incentive and competitive benefits plans.
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