Data Migration Engineer

Reposted Yesterday
Hiring Remotely in Somerville, MA, USA
In-Office or Remote
90-95 Annually
Mid level
Healthtech
The Role
Develop and execute healthcare radiology information system data migration strategies. Extract, map, clean, transform, validate, and load clinical, operational, administrative, and master-list data from legacy RIS and related systems. Use ETL, SQL, scripting, and programming tools to resolve inconsistencies and compatibility issues. Document migration methods, support go-live implementations, verify results, prepare stakeholder reports, collaborate with customers and vendors, and train staff on the new system.
Summary Generated by Built In

• Develop and execute comprehensive strategies for RIS data migration.

• Collaborate with stakeholders to gather and analyze migration requirements.

• Extract clinical, operational, and administrative data from legacy RIS systems.

• Assess and map legacy data structures, including patient demographic records, diagnostic radiology reports, scanned documents, and future appointments.

• Assist in assembling and loading RIS system’s master lists including referring physicians, insurance providers, procedure codes, billing codes, organizational structures such as practices, sites, and rooms, and other master look-up tables.

• Use ETL tools to clean, transform, and prepare data for migration.

• Provide post-migration support for product go-live implementations.

• Partner with cross-functional teams, including customers, IT staff, compliance officers, and third-party vendors.

• Document the entire migration process, including methodologies, tools, and reports.

• Train staff on how to manage, access, and use data in the new RIS system.

• Perform comprehensive validation to ensure data completeness and resolve inconsistencies.

• Conduct post-migration verification and prepare detailed reports for stakeholders.

• Identify and resolve migration-related issues, such as data inconsistencies or system compatibility challenges.

Minimum Qualifications, Education and Experience

·       Bachelor’s degree in information technology, computer science, healthcare informatics, or related field; or equivalent professional experience

·       3+ years proven experience in data migration within a healthcare environment

·       Hands-on experience with data manipulation and/or migration within RIS, PACS, HIS, and EMR systems.

·       Proficiency in ETL processes, database structures, SQL, and healthcare data standards.

·       Proficient SQL skills and experience with database management.   Proprietary software product is supported by MS SQL Server.  Proficiency with Transact SQL, triggers, functions, stored procedures, database schema design, SQL agent jobs, and ad hoc querying.

·       Using skills above, work with various formats of data such as CSV and other delimited text files, Excel data, SQL databases, Word docs, BMP/JPG files, PDF files. Ad hoc manipulation such as converting one format to another, rename files, move files, parse files, clean data.

·       Excellent technical communication and interpersonal skills, with the ability to effectively communicate with stakeholders at all levels of the organization

·       Strong problem-solving and troubleshooting abilities

·       Ability to adapt to constantly changing projects.  This role requires a high level of self-motivation, self-management, initiative, and the ability to prioritize multiple tasks effectively.  Occasional off-hours work is required to migrate during off-peak system times.

·       Attention to detail with a commitment to data accuracy and security.  Comfort and willingness to handle and analyze and scrutinize large medical record datasets is a critical aspect of the job to maintain high data quality standards

·       Proficiency in C# for Windows desktop programming or Python, or similar programming languages to enhance in-house data migration tools.

·       Familiarity with Linux OS and scripting (Python, Pearl, VIM, BASH) to assist with ancillary data migrations taking place in Linux environments.

·       Mirth skills, particularly with HL7

Skills Required

  • Bachelor’s degree in information technology, computer science, healthcare informatics, or a related field, or equivalent professional experience
  • 3+ years of data migration experience within a healthcare environment
  • Hands-on data manipulation or migration experience with RIS, PACS, HIS, and EMR systems
  • Proficiency in ETL processes, database structures, SQL, and healthcare data standards
  • Proficient SQL and database management experience, including Microsoft SQL Server, Transact-SQL, triggers, functions, stored procedures, database schema design, SQL Server Agent jobs, and ad hoc querying
  • Experience manipulating CSV, delimited text, Excel, SQL database, Word, BMP, JPG, and PDF data and files
  • Excellent technical communication and interpersonal skills
  • Strong problem-solving and troubleshooting abilities
  • Ability to adapt to changing projects, self-manage, prioritize multiple tasks, and work occasional off-hours
  • Attention to detail and commitment to data accuracy and security when handling large medical-record datasets
  • Proficiency in C# for Windows desktop programming, Python, or a similar programming language
  • Familiarity with Linux and scripting using Python, Perl, Vim, or Bash
  • Mirth experience, particularly with HL7
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The Company
HQ: Pak Shek Kok
306 Employees

What We Do

DeepHealth is a wholly-owned subsidiary of RadNet, Inc. (NASDAQ: RDNT) and serves as the umbrella brand for all companies within RadNet’s Digital Health segment. DeepHealth provides AI-powered health informatics with the aim of empowering breakthroughs in care through imaging. Building on the strengths of the companies it has integrated and is rebranding (i.e., eRAD Radiology Information and Image Management Systems and Picture Archiving and Communication System, Aidence lung AI, DeepHealth and Kheiron breast AI and Quantib prostate and brain AI), DeepHealth leverages advanced AI for operational efficiency and improved clinical outcomes in lung, breast, prostate, and brain health. At the heart of DeepHealth’s portfolio is a cloud-native operating system – DeepHealth OS – that unifies data across the clinical and operational workflow and personalizes AI-powered workspaces for everyone in the radiology continuum. Thousands of radiologists at hundreds of imaging centers and radiology departments around the world use DeepHealth solutions to enable earlier, more reliable, and more efficient disease detection, including in large-scale cancer screening programs. DeepHealth’s human-centered, intuitive technology aims to push the boundaries of what’s possible in healthcare.

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