Data360 Engineer

About the job Role: Data360 Engineer Shift timings: 2pm to 11pm Duration: 0-6months : Data360 Engineer Role Summary We are seeking a Data360 Engineer to design and build data foundations on Salesforce Data360 and deliver predictive insights to business users and AI agents. Technical Requirements Salesforce Data360 (Data Cloud): data streams, Data Lake Objects, Data Model Objects, identity resolution, calculated and streaming insights, data transforms Data modeling and data engineering, ideally with healthcare payer and scheduling data SQL and Python for transformation and feature engineering Predictive modeling: building, evaluating, and deploying models using Einstein Studio Model Builder or external ML platforms (SageMaker, Vertex AI, Databricks) Data360 search indexes and retrievers (vector and hybrid) Salesforce Flow and Lightning for agent-facing experiences Integration with source systems via connectors (S3, Snowflake, MuleSoft, Salesforce CRM) Familiarity with Agentforce, Prompt Builder, and invocable actions (preferred) Functional Requirements Translate business needs into data models, features, and measurable outcomes Work with historical scheduling and insurance data across payers, providers, and group codes Build and monitor predictive models, including drift tracking and retraining Make insights available to human agents now and AI agents later through search and retrievers Apply data privacy and governance controls (HIPAA/PHI, field-level security, audit) Quantify business impact through baselines, pilots, and success metrics Collaborate with business stakeholders, Salesforce developers, and data science teams Qualifications Hands-on Data360 delivery experience Strong analytical and ML fundamentals Understanding of healthcare data and compliance Salesforce certifications such as Data Cloud Consultant or Platform Developer (preferred)