Data Migration Engineer

Radnet, Inc.
United States
25 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$100,000.0 - $120,000.0
Working hours
Regular working hours
Job source

Tech stack

Bash Shell Batch Processing Computer Programming Databases Cron Data Integrity Data Migration Data Structures Relational Databases Dicom File System Permissions JSON
+8 more
Python (Programming Language) PostgreSQL Metadata Software Engineering Extensible Markup Language (XML) Data Logging Scripting Information Technology

Job description

  • Develop and maintain scripts and tools for medical imaging workflows
  • Troubleshoot PACS/DICOM-related issues and ensure smooth data migration
  • Collaborate with radiology IT teams to configure and optimize PACS systems
  • Ensure data integrity and compliance with healthcare standards
  • Document processes, workflows, and troubleshooting steps
  • Provide technical support for imaging-related applications
  • Understanding of DICOM data structures (Study, Series, Instance)
  • Familiarity with DICOM tags and metadata
  • Experience with tools like dcmdump, storescp, or DICOM viewers
  • Basic familiarity with eRAD PACS UI and configuration
  • Knowledge of retrieving and routing studies
  • Ability to navigate logs and troubleshoot failed studies
  • File handling, string parsing, and working with JSON/XML
  • Use of pydicom or similar libraries for reading/modifying DICOM files
  • Experience with batch processing or scripting for automation
  • Writing scripts for file movement, validation, and process automation
  • Familiarity with cron jobs and logging
  • Writing basic SELECT/INSERT/UPDATE queries
  • Experience with filtering, joins, and aggregate functions
  • Comfort using psql for investigating DICOM metadata stored in the database
  • Understanding of AE Titles, ports, and IP configurations in DICOM context
  • Troubleshooting connectivity issues (ping, telnet, etc.)
  • Navigating the filesystem
  • Monitoring disk usage and file permissions
  • Understanding of log rotation and system services
  • Basic validation techniques for checking completeness of migrated studies
  • Ability to reconcile records between source and destination systems

Requirements

  • Passionate about patient care and exercise sound judgement and an ability to remain professional in all situations.
  • You demonstrate effective and professional communication, interpersonal skills and respect with patients, guests & colleagues.
  • You have a structured work-approach, understand complex problems and you are able to prioritize work in a fast-paced environment.

To Ensure Success in This Role, You Must Have:

  • Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)
  • Hands-on experience with DICOM and PACS systems (eRAD preferred)
  • Strong programming skills in Python and Bash scripting
  • Familiarity with relational databases (PostgreSQL)
  • Experience working in Linux/Unix environments
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration abilities

Benefits & conditions

  • Comprehensive Medical, Dental and Vision coverages.
  • Health Savings Accounts with employer funding.
  • Wellness dollars
  • 401(k) Employer Match
  • Free services at any of our imaging centers for you and your immediate family.

Pay Range: $100,000.00 - $120,000.00 per year Pay Range: USD $100,000.00 - USD $120,000.00 /Yr.

About the company

Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, RadNet is Leading Radiology Forward. With dynamic cross-training and advancement opportunities in a team-focused environment, the core of RadNet’s success is its people with the commitment to a better healthcare experience. When you join RadNet as a Data Migration Engineer, you will be joining a dedicated team of professionals who deliver quality, value, and access in the 21st century and align all stakeholders- patients, providers, payors, and regulators to achieve the best clinical outcomes.

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