Staff Data Engineer, Data Platform - IntelliScript (Remote)

Overview As Staff Data Engineer, you will shape data platform strategy and architecture for a healthcare-focused data enterprise. You’ll lead cross-functional data engineering efforts, ensure scalable, secure data systems, and drive governance in line with privacy standards. You’ll collaborate with architecture, data science, and business teams to deliver high-impact data products and APIs. This role offers hands-on influence over data warehouses, lakehouses, and real-time processing at scale, within a collaborative, growth-minded culture. Compensation / BenefitsMedical, Dental and Vision coverage401(k) with company matching and profit-sharingDiscretionary bonus programPTO and holidaysPaid Parental Leave up to 11 weeksLife Insurance & AD&D coverage ResponsibilitiesAct as SME and thought leader within the Data Platform DomainDefine advanced data processing structures for moving, storing, and maintaining high-quality dataLead projects: timelines, team coordination, communication of statusGovernance and security: align practices with industry standardsContribute to overall data engineering vision and strategy aligned with organizational goalsDrive data platform capabilities: expand Data Warehouse(s) and Lakehouse for healthcare dataConfigure Unity Catalog for data lineage, quality, auditability, stewardshipDevelop data security protocols including PHI/PII handlingEnforce least-privilege access for implementationsBuild data solutions for clients with reliability, quality, performanceETL: implement Delta Live Tables and automate transformationsAdvance Medallion Architecture for enterprise-scale dataDevelop streaming and batch processing for near real-time dataManage large, structured and unstructured healthcare data efficientlyPlatform Engineering: Infrastructure as Code via Terraform and asset bundlesCollaborate on external data products to meet client needsArchitect, build, and maintain scalable data pipelines with performance monitoringIntegrate with internal APIs and external systems (Salesforce, financials, HR)Model data: standards-based designs (FHIR, OMOP, ICD10/SNOMED/NDC/LOINC/RxNorm)Collaborate with stakeholders to gather requirements and deliver data solutionsIdentify process improvements to automate, optimize, and scale data deliveryCreate analytics tools for stakeholders to derive actionable insights Key requirements15+ years in design, development, and testing of Data Platform solutions (warehouses, lakes, data products)Expert Databricks and AWS experienceExpert in relational and non-relational databases (SQL Server, PostgreSQL, DynamoDB, DocumentDB)Experience managing/standardizing clinical data from diverse sourcesExperience building solutions on AWSExpert knowledge of healthcare standards (FHIR, C-CDA, HL7) and clinical ontologies (ICD10, SNOMED, NDC, LOINC, RxNorm)Expert in data modeling, data warehouses, and data lake design for enterprise/product use casesExperience designing/building APIs, ETL, and data ingestionPerformance tuning, security, monitoring, release managementExperience with large, identified/de-identified healthcare datasetsIaC with Terraform, asset bundles, GitHubCollaboration with Data Science teams and AI-driven initiativesCollaborative mindsetStrong communication across technical and non-technical audiencesMentorship and coaching abilitiesDatabricksAWSSQL