Senior Associate Professional Services - Data Solutions

RLDatix is on a mission to transform care delivery worldwide, ensuring every patient receives the safest, highest-quality care. Through our innovative Healthcare Operations Platform, we’re connecting data to unlock trusted insights that enable improved decision-making and help deliver safer healthcare for all.

Job Description

RLDatix (RLD) is on a mission to help raise the standard of care…everywhere. Trusted by over 10,000 healthcare organizations around the world, our solutions help improve health and care. Our applications ensure that patients receive the best and safest care while supporting the providers who deliver it.

Joining TeamRLD means being part of a global effort of over 2,000 team members in making a difference in healthcare…every day.

We’re searching for a remote Senior Associate (Senior Associate Data Migration Consultant) to join our Professional Services team, so that we can deliver successful healthcare data migration and conversion projects that support customer implementations and improve clinical operations. The Senior Associate Data Migration Consultant will collaborate with clients and project teams to extract, transform, validate, and migrate healthcare data while supporting technical solutions that help organizations maximize the value of their healthcare technology investments.

How You’ll Spend Your Time

• Analyzing healthcare data from multiple source systems to support accurate and successful data conversion projects
• Developing SQL queries, transformation logic, and migration processes in order to deliver high-quality customer outcomes
• Collaborating with clients, project teams, and technical stakeholders to gather requirements and resolve data-related challenges
• Testing, validating, and reconciling converted data in order to ensure data integrity and migration accuracy
• Leveraging AI-assisted tools and established methodologies to improve delivery efficiency, troubleshoot issues, and support scalable service solutions

What Kind of Things We’re Most Interested in You Having

• 1-3 years of experience working with healthcare data, data migration, data conversion, or related technical consulting roles
• Proven success in analyzing, transforming, validating, and reconciling data to support business or customer objectives
• In-depth knowledge of SQL, relational databases, and healthcare data formats such as HL7, CDA, CSV, and other structured data sources
• Ability to work remotely with occasional travel and flexibility to support weekend or evening client go-live activities as needed
• Sincere interest in healthcare technology and improving patient care through data-driven solutions
• A knack for working collaboratively within cross-functional project teams while building strong customer relationships
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; equivalent combination of education, training, and experience will also be considered
• Experience with EHR/EMR platforms such as Epic, MEDITECH, Cerner, or Allscripts preferred
• Familiarity with HL7, SSIS, Microsoft Access, Oracle, ODBC, and OLE DB preferred

By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. Our benefits package includes health, dental, vision, life, disability insurance, 401K, paid time off, and paid holidays.

RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by Federal and/or State laws.

As part of RLDatix’s commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don’t hesitate to send a note to accessibility@rldatix.com.

Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also taken into consideration.