Data360 Engineer

Role: Data360 Engineer

Shift timings: 2pm to 11pm

Duration: 0-6months

Job Description: 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)