Senior Data Quality / Data Governance Analyst - W2 (No C2C or 1099) - Remote (Posted by SAM)

Company Navitus About Us Navitus - Putting People First in Pharmacy - Navitus was founded as an alternative to traditional pharmacy benefit manager (PBM) models. We are committed to removing cost from the drug supply chain to make medications more affordable for the people who need them. At Navitus, our team members work in an environment that celebrates diversity, fosters creativity and encourages growth. We welcome new ideas and share a passion for excellent service to our customers and eac

Required Skills: We are seeking a highly skilled Data Scientist with a strong background in Data Engineering, Computer Science, and Artificial Intelligence to design, develop, and optimize data pipelines that power LLM (Large Language Model) and RAG (Retrieval-Augmented Generation) solutions 5+ years of experience in Data Engineering or related roles.Strong understanding of:Data Structures and AlgorithmsDatabase Design and Data ModelingInformation Retrieval SystemsDistributed Computing ConceptsE

Overview Amyx is seeking to hire a Data Analyst to join our Defense Logistics Agency program remotely. Responsibilities Provides technical support in the evaluation of data elements, codes, and business rules and data standards. Evaluate proposed data elements/codes and their attributes. Ensures that proposed data definitions are clear, concise, technically correct, and accurately represented in the business processes. Collects business and data requirements, data analysis and develops data s

Role : Data Engineer with Reltio MDM Duration : 12 Months Work Mode : Remote Note: Need W2 Candidates Only. Must Have:Reltio, MDM, SQL Good to Have:CI/CD, Python Data Engineer with 7 to 10 years should have Expertise in Reltio MDM Configuration API SQL and data analysis Exposure working hands-on with Reltio and Master Data Management MDM fundamentals Required Strong knowledge of SQL Advanced and Python Should have worked on Data Modelling Configuration Integration developing data pipelines and