{"id":3698585,"url":"https://alion.io/job/intellias-lead-data-engineer-healthcare-solution","title":"Lead Data Engineer (healthcare solution)","company":{"id":13249,"name":"Intellias","domain":"intellias.com","url":"https://alion.io/company/intellias","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":70000,"max":80000,"currency":"EUR","period":"year","gross":null,"usd_annual":89581},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FHIR","optional":false},{"name":"Git","optional":false},{"name":"HIPAA","optional":false},{"name":"HL7","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-03T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-11-03T00:00:00Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"Sobre a vaga\nIntellias is looking for a Lead Healthcare Data Engineer to join a large-scale digital healthcare initiative focused on building a FHIR-based health data platform. The role requires deep hands-on engineering expertise and broad technical influence to transform fragmented healthcare data into clean, standardized information. You will work in Databricks/Spark, building pipelines and quality checks.\n\nO que vais fazer\n\nSet the technical direction for healthcare data engineering across ingestion, transformation, validation, normalization, and delivery\nOwn the end-to-end architecture of large-scale distributed data pipelines transforming heterogeneous source data into clean, standards-conformant FHIR\nDesign and evolve scalable solutions using Python, Spark/PySpark, Databricks/Delta Lake, and modern data-processing technologies\nDiagnose and eliminate complex performance and scalability bottlenecks across distributed data workloads\nEstablish standards and reusable frameworks for data quality, deduplication, patient/record linking, terminology normalization, and reliable idempotent processing\nDefine architectural patterns for FHIR transformation, validation, schema evolution, and production delivery\nBuild and evolve automated testing and validation capabilities for data quality and FHIR conformance\nEstablish engineering patterns and reusable tooling that allow the broader team to deliver new healthcare data capabilities faster and more consistently\nChampion PHI-safe engineering practices and ensure healthcare data solutions meet applicable security, privacy, and compliance requirements\nMake AI-native engineering a practical part of the team’s development model, using coding agents and reusable AI capabilities to automate repetitive work and accelerate complex engineering tasks\nEstablish engineering guardrails for AI-assisted development, ensuring AI-generated solutions remain correct, tested, secure, observable, and PHI-safe\nDetermine where deterministic processing provides better reliability than AI/LLM-based approaches and establish appropriate architectural patterns for both\nMentor Senior and Middle engineers through design reviews, pairing, technical guidance, and knowledge sharing\nDrive complex, ambiguous engineering problems from initial investigation through architecture, implementation, and production operation\nCollaborate with engineering, product, security, data, and healthcare-domain stakeholders to translate complex interoperability requirements into scalable technical solutions\nRepresent strong healthcare data engineering practices in relevant architecture, standards, and technical discussions\n\nO que é pedido\n\n8+ years of professional experience in data engineering, healthcare data platforms, HealthTech, or healthcare interoperability\nProven Lead-level technical ownership of complex production systems, including the ability to set technical direction and solve problems spanning multiple components and engineering teams\nStrong hands-on expertise in Python and production-grade data engineering\nDeep experience with Apache Spark/PySpark at scale, including partitioning, performance optimization, memory tuning, and distributed processing\nExperience with modern lakehouse technologies such as Databricks and Delta Lake, or comparable platforms\nStrong experience designing and operating large-scale ETL/ELT pipelines, including CDC, incremental/delta processing, idempotency, schema evolution, and batch/streaming workloads\nProven experience diagnosing and eliminating complex performance and scalability bottlenecks in distributed data-processing systems\nDeep hands-on experience with FHIR R4, including resources, profiles, Bundles, validation, and large-scale healthcare data transformation\nStrong knowledge of US Core, USCDI, HL7 v2.x, and C-CDA-to-FHIR transformation patterns\nStrong understanding of healthcare terminology standards including SNOMED CT, LOINC, and RxNorm\nExperience working with clinical, claims, coverage, eligibility, or comparable healthcare data models\nStrong experience with data quality, deduplication, record/patient linking, terminology normalization, and validation\nStrong SQL skills and understanding of data modeling, schema evolution, data quality, and production data architecture\nExperience with Git, CI/CD, automated testing, observability, and production operations\nStrong understanding of healthcare security, privacy, and regulatory requirements, including HIPAA and PHI-safe engineering practices\nProven ability to establish reusable engineering frameworks, architectural patterns, standards, and data-quality practices adopted by other engineers\nDemonstrated technical leadership through architecture/design reviews, mentoring, pairing, and cross-team engineering influence\nPractical experience using AI coding agents such as Claude Code or comparable agentic engineering tools as an integral part of the development lifecycle\nStrong engineering judgment around when to use AI/LLM-based approaches versus deterministic rule-based solutions, particularly where correctness, cost, performance, or PHI safety are critical\nProfessional English sufficient for direct collaboration with U.S.-based technical and business stakeholders\n\nValorizado\n\nDeep experience with large-scale FHIR data modeling and healthcare interoperability platforms\nExperience with Master Patient Index (MPI), patient matching, identity resolution, or large-scale record linkage\nExperience with payer data exchange, including CARIN Blue Button, Da Vinci implementation guides, or similar standards\nExperience working with pharmacy, laboratory, or other specialized healthcare datasets\nKnowledge of ICD-10, CPT, CVX, and additional clinical terminology/code systems\nExperience with 21st Century Cures Act, ONC certification, CMS Interoperability Rule, or related U.S. healthcare regulatory frameworks\nExperience building LLM/agent-based capabilities for clinical data extraction, normalization, terminology mapping, or healthcare data quality\nExperience designing reusable AI skills or agentic workflows adopted across engineering teams\nContributions to open-source healthcare, FHIR/HL7 communities, or relevant industry working groups\n\nO que é oferecido\n\nrange of benefits that support your well-being and charge your professional growth\n\nResumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.","description_format":"text","description_chars":6414,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-11-03T18:46:55Z"}],"visa":[],"liveness":{"score":99,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.993,"p_room":1,"age_days":8,"expected_fill_days":43,"reasons":["seen:8","urgency","velocity","win:early"],"computed_at":"2026-11-11T05:49:22Z"},"pay":{"stated_usd_annual":89581,"is_top_pay":false},"html_url":"https://alion.io/job/intellias-lead-data-engineer-healthcare-solution","json_url":"https://alion.io/job/intellias-lead-data-engineer-healthcare-solution.json","meta":{"generated_at":"2026-11-11T15:27:42Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":28859,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":13249},"rest":"https://alion.io/mcp/rest/get_company?id=13249"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintellias-lead-data-engineer-healthcare-solution"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fintellias-lead-data-engineer-healthcare-solution"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fintellias-lead-data-engineer-healthcare-solution"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/intellias-lead-data-engineer-healthcare-solution\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintellias-lead-data-engineer-healthcare-solution"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3698585}},{"tool":"search_jobs","arguments":{"company":"intellias.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3698585},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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