Sure Short Closable

Sure Short Closable
MDM infosphere (W2)
need to be within an hour to Quincy, MA - hybrid 
send h-1 and linkedin with resume
Experience: 2+ yrs
12+ months

EXPERIENCE AND EDUCATION:
oxxxxxxxxxxxxxxx+ years of experience in software development, integration development, backend application support, or a similar technical role in an enterprise environment
oxxxxxxxxxxxxxxxExperience working with APIs, integration services, data-processing applications, or other backend service components.
oxxxxxxxxxxxxxxxExperience troubleshooting production issues, investigating operational failures, and supporting remediation in live environments.
oxxxxxxxxxxxxxxxWorking knowledge of relational data concepts and SQL, including the ability to support downstream publication structures and practical data investigation.
oxxxxxxxxxxxxxxxExperience working with source control, structured development practices, and team-based delivery of application changes.
oxxxxxxxxxxxxxxxExperience working with highly sensitive healthcare or human services information and familiarity with HIPAA and other data privacy controls.
oxxxxxxxxxxxxxxxAbility to learn existing customized platforms quickly, take technical direction well, and contribute effectively within established patterns.
oxxxxxxxxxxxxxxxStrong communication skills and the ability to work with teams and independently in a high-demand support and delivery environment.

Preferred experience/skills:
oxxxxxxxxxxxxxxxExperience with Master Data Management (MDM) platforms such as IBM InfoSphere MDM or similar master data tools.
oxxxxxxxxxxxxxxxExperience 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.
oxxxxxxxxxxxxxxxExperience supporting custom API or service layers in legacy, hybrid, or heavily customized enterprise systems.
oxxxxxxxxxxxxxxxFamiliarity 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.