Compunnel Inc.

Master Data Management Developer --NARDC5784140

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Master Data Management Developer in Boston, MA, for 6-12 months at a pay rate of "unknown." Key skills include 2+ years in software development, API experience, troubleshooting, SQL, and familiarity with HIPAA. Preferred experience in MDM platforms and healthcare sectors is desired.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 11, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Boston, MA
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🧠 - Skills detailed
#Tableau #API (Application Programming Interface) #Data Management #Deployment #MDM (Master Data Management) #AI (Artificial Intelligence) #Data Privacy #Cloud #Debugging #Snowflake #Security #SQL (Structured Query Language) #Documentation #Business Analysis #AWS (Amazon Web Services)
Role description
Title MDM Developer (Master Data Management Developer) Duration 6-12 months Location Boston, MA 02108, Hybrid Detailed list of job duties and responsibilities: • Enhance and maintain existing MDM APIs, service components, integration points, and related support structures in a customized enterprise environment. • Implement scoped changes to endpoints, payloads, business rules, or service behavior in support of operational needs, fixes, and incremental improvements. • Troubleshoot production issues affecting jobs, interfaces, payloads, or downstream data movement; perform root-cause analysis and implement or support remediation. • Create, update, and maintain data objects or related structures used to publish trusted MDM outputs to downstream reporting or analytics environments. • Collaborate with business analysts, technical leads, and sister teams to clarify requirements, support issues • Document technical changes, troubleshooting steps, support patterns, and implementation assumptions to improve maintainability and reduce concentration of knowledge. • Participate in testing, deployment support, defect resolution, and operational follow-up for changes delivered to the MDM environment. • Follow established security, privacy, and data handling expectations for HIPAA-sensitive and otherwise regulated information. • Use approved AI-assisted development tools responsibly to accelerate debugging, code understanding, test preparation, and documentation while maintaining engineering review and accountability. • Support the operationalization and inheritance of new MDM-related capabilities delivered by internal or external implementation partners as needed. Experience and education: • 2+ years of experience in software development, integration development, backend application support, or a similar technical role in an enterprise environment • Experience working with APIs, integration services, data-processing applications, or other backend service components. • Experience troubleshooting production issues, investigating operational failures, and supporting remediation in live environments. • Working knowledge of relational data concepts and SQL, including the ability to support downstream publication structures and practical data investigation. • Experience working with source control, structured development practices, and team-based delivery of application changes. • Experience working with highly sensitive healthcare or human services information and familiarity with HIPAA and other data privacy controls. • Ability to learn existing customized platforms quickly, take technical direction well, and contribute effectively within established patterns. • Strong communication skills and the ability to work with teams and independently in a high-demand support and delivery environment. Preferred experience/skills: • Experience with Master Data Management (MDM) platforms such as IBM InfoSphere MDM or similar master data tools. • Experience working in healthcare payer, provider, Medicaid, human services, or public-sector environments. • Experience with identity resolution, golden record, eligibility, encounter, member, provider, or other integration-heavy data domains. • Experience supporting custom API or service layers in legacy, hybrid, or heavily customized enterprise systems. • Familiarity with downstream cloud analytics ecosystems such as AWS, Snowflake, Tableau, or similar tools used for data publication and consumption. • Comfort using approved AI-assisted development practices to improve productivity, troubleshooting, and documentation quality