$ cat jobs/sr-salesforce-health-cloud-data-engineer-cook-systems-2b3ef35056db.json
Sr Salesforce Health Cloud Data Engineer
Launch Your Career with Cook Systems Since 1990, Cook Systems —a certified veteran-owned IT consulting firm—has been helping businesses and professionals grow through innovation, integrity, and investment in people. We partner with Fortune 500 enterprises and high-growth companies alike to deliver agile technology solutions, AI-driven talent strategies, and our signature FastTrack program that develops the next generation of tech talent. At Cook, you’ll find a culture that values excellence, creativity, and accountability. We believe in opportunity backed by trust—and in building careers that last. Check out what our team members have to say on our Glassdoor page, and discover why Cook Systems is where meaningful careers take off! Summary The Senior Salesforce Health Cloud Data Engineer is pivotal in designing and developing ETL jobs and data integrations. This role encompasses the full systems development life cycle (SDLC), including requirements gathering, data analysis, system design, development, implementation, and post-implementation support. Working closely with Salesforce Architects and Application Development teams, the engineer ensures seamless bidirectional ETL movement of data using Salesforce Data Loader and Azure Tools, adhering to HIPAA, privacy, and federal security policies. Responsibilities Collaborate with Salesforce Architects to create data models for Salesforce repositories aligning with solution architecture. Ensure data integrity and accuracy within the Salesforce HealthCloud application. Ingest, validate, and process incoming data, applying business rules and integrating within Salesforce. Develop and coordinate unit and integration test plans; conduct testing and evaluate results. Analyze, design, and develop code for Salesforce data integration activities with third-party applications. Implement changes and provide user and system support post-implementation. Identify and advocate for beneficial change opportunities, providing data-driven
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