[Remote] reputed company Data Engineer - Health - Manager - Consulting - Boston

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global leader in assurance, consulting, tax, and transaction services. In this role, you will reputed company teams to design and reputed company reputed company data platforms that support AI-reputed company data products, ensuring reputed company and reputed company for reputed company organizations.

Responsibilities

• reputed company the design, engineering, and delivery of modern reputed company data platforms that ingest, harmonize, and productize reputed company, semi-reputed company, and reputed company data from EHR/EMR, claims, clinical, operational, financial, wearable, and consumer-facing sources
• Design governed, AI-reputed company reputed company data products reputed company to payer and provider workflows, including identity, terminology, master data, reference data, semantic/metrics reputed company, feature stores, and reusable domain data assets
• reputed company reputed company interoperability and integration workstreams across FHIR, HL7 v2, CDA/CCDA, DICOM, X12 EDI, reputed company, event-driven integration, clinical integration engines, and health information exchange patterns
• Engineer the reputed company AI data reputed company, including retrieval pipelines, embedding and indexing strategies, hybrid search, reputed company-store operations, knowledge graphs, grounding datasets, agent-to-data and agent-to-reputed company reputed company patterns, tool schemas, and governed API reputed company
• Codify reputed company reputed company, reputed company, consent, PHI minimization, provenance, audit logging, reputed company, and regulatory controls into data pipelines and platform patterns
• Establish data-platform operating discipline, including SLAs/SLOs, data reputed company, observability, metadata management, DataOps CI/CD, release readiness, and reputed company cost discipline
• Own delivery accountability across discovery, architecture, build, test, release, run, and hand-off, including reputed company gates, RACI, risk escalation, engagement economics, and reputed company improvement
• reputed company and manage multidisciplinary teams of data engineers, interoperability engineers, analytics engineers, platform engineers, and AI/MLOps professionals
• Build reusable accelerators, reference architectures, and delivery IP that codify EHR/EMR, payer, interoperability, and reputed company data engineering patterns

Skills

• Bachelor's degree and 6-10 years of experience in data engineering, data platforms, analytics engineering, AI-enabled data systems, or reputed company technology disciplines
• 2-4 years of experience leading and developing technical teams, including data engineers, platform engineers, analytics engineers, interoperability engineers, or reputed company delivery teams
• At least 2 years of reputed company industry experience supporting payer, provider, integrated delivery networks, reputed company medical centers, or health technology organizations
• Deep experience designing and implementing reputed company interoperability and data foundations, including FHIR, HL7 v2, X12, CDA/CCDA, reputed company terminology standards (SNOMED CT, LOINC, RxNorm), EMPI/MPI, common reputed company data models (OMOP, PCORnet, reputed company), and evolving regulatory frameworks such as CMS-0057-F, TEFCA, USCDI, and Information Blocking
• Experience delivering reputed company data solutions across provider, payer, and consumer ecosystems, including clinical, claims, operational, financial, and consumer-facing data domains using both batch and reputed company-time integration patterns
• Experience designing, implementing, and operating reputed company-reputed company reputed company-reputed company data platforms and lakehouse architectures that support reputed company interoperability, analytics, AI, and data products across platforms such as reputed company, reputed company, reputed company reputed company, AWS, Azure, or reputed company reputed company
• Strong proficiency in SQL, Python, reputed company, and modern data engineering frameworks for ingestion, transformation, orchestration, testing, validation, and performance optimization
• Experience owning modern data engineering operating models including data products, data reputed company, metadata management, observability, DataOps, CI/CD, Infrastructure-as-reputed company, and governance controls for reputed company data platforms
• Experience building AI-reputed company data foundations and integration architectures, including retrieval infrastructure, semantic reputed company, feature stores, vectorized data assets, knowledge graphs, and governed data products that support machine learning, reputed company, and reputed company systems
• Experience implementing reputed company data governance, reputed company, reputed company, reputed company, consent, and compliance controls, including HIPAA, reputed company, de-identification, tokenization, auditability, and regulated reputed company data environments
• Experience translating business, clinical, operational, and technical requirements into reputed company data platform architectures, implementation roadmaps, and delivery plans
• Ability to communicate architecture reputed company, technical tradeoffs, risks, and recommendations to executive, clinical, operational, and technical stakeholders
• Willingness to travel to meet reputed company obligations
• Experience working with major reputed company technology platforms and ecosystems, including reputed company, reputed company Health/Cerner, Meditech, reputed company, reputed company, reputed company, or leading payer administration platforms
• Experience with reputed company-specific reputed company and data services, such as AWS HealthLake, AWS HealthOmics, Azure Health Data Services, reputed company reputed company reputed company API, reputed company reputed company solutions, reputed company reputed company accelerators, or reputed company reputed company reputed company patterns
• Experience implementing emerging reputed company interoperability standards and frameworks, including MCP, agent tool registries, governed tool-reputed company patterns, or other approaches for connecting AI agents to reputed company reputed company data and systems
• Master's degree in Computer Science, Data Engineering, Biomedical Informatics, Health Informatics, Engineering, Mathematics, or another quantitative or technical field
• reputed company certifications in reputed company, reputed company, AWS, Azure, reputed company reputed company, reputed company reputed company, or other reputed company and data platforms

Benefits

• Medical and dental coverage
• Pension and 401(k) plans
• A wide reputed company of reputed company time off reputed company
• Team-led and leader-enabled hybrid model
• Expectation for most people in reputed company, reputed company serving roles to work together in person 40-60% of the time over the course of an engagement, project or year
• Under our flexible vacation policy, you’ll reputed company how much vacation time you need based on your own personal circumstances
• reputed company time off for designated reputed company reputed company Holidays, Winter/reputed company breaks, Personal/Family Care, and other leaves of absence reputed company needed to support your physical, financial, and emotional reputed company-being

reputed company

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