{"id":1991102,"url":"https://alion.io/job/intellias-senior-data-engineer","title":"Senior Data Engineer","company":{"id":13249,"name":"Intellias","domain":"intellias.com","url":"https://alion.io/company/intellias","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":"teamlyzer.com","ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["PT"],"hiring_countries_total":1,"salary":{"min":60000,"max":70000,"currency":"EUR","period":"year","gross":null,"usd_annual":78769},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"ETL/ELT","optional":false},{"name":"HIPAA","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenSearch","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-06T00:00:00Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-06T00:00:00Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Sobre a vaga\nIntellias is looking for a Senior Data Engineer to join a digital healthcare initiative focused on building a large-scale health data platform. This is a hands-on, high-ownership engineering role for someone experienced in building and operating data-intensive systems at scale. You will own critical data ingestion and processing capabilities and develop AI-powered solutions.\nO que vais fazer\nDesign, build, and operate scalable data ingestion pipelines that onboard healthcare provider data from EHR systems, national registries, healthcare networks, and partner feeds\nTransform heterogeneous source data into standardized, trusted data models, including FHIR-native resources\nOwn data quality end-to-end, including validation rules, quality thresholds, confidence scoring, automated monitoring, and alerting\nDesign and implement solutions for entity resolution, deduplication, relationship inference, classification, enrichment, and data quality scoring\nBuild and evolve distributed data processing pipelines using Python, Spark, and modern orchestration technologies\nImprove pipeline reliability, scalability, observability, and performance so that new data sources can be onboarded efficiently and safely\nEstablish and evolve data governance standards, including schemas, staging models, validation processes, and data refinement workflows\nDesign and operate data storage and search solutions supporting large-scale healthcare datasets\nBuild AI-powered data tooling that improves the accuracy, automation, and intelligence of data processing workflows\nUse modern AI development tools as an integral part of the engineering workflow to accelerate implementation, testing, debugging, documentation, and data analysis\nOwn production operations for the solutions you build, including monitoring, troubleshooting, incident response, and root-cause analysis\nPartner with Analytics and Data Science teams to develop data quality dashboards, metrics, and reporting\nCollaborate with Product and Business stakeholders to prioritize data sources and improvements based on customer and business impact\nContribute to technical design reviews and help establish scalable engineering patterns across the broader data platform\nO que é pedido\n5+ years of professional experience building and operating data-intensive backend or data engineering systems at scale\nStrong hands-on expertise in Python, including development of production-grade data processing and backend services\nStrong experience designing and building scalable data ingestion and ETL/ELT pipelines for large and heterogeneous datasets\nSound data engineering instincts, including data modeling, storage design, schema evolution, query optimization, caching strategies, and selecting appropriate batch or streaming processing patterns\nHands-on experience with Apache Spark or Databricks for distributed data processing\nExperience with workflow orchestration technologies such as Prefect, Apache Airflow, or equivalent\nStrong understanding of data modeling, schema design, validation strategies, data transformation, and data quality management\nExperience designing solutions for data deduplication, entity resolution, data enrichment, classification, or record linkage\nExperience with both relational and document-oriented databases; practical knowledge of technologies such as MongoDB or comparable NoSQL platforms\nExperience with search technologies such as OpenSearch, Elasticsearch, or comparable solutions\nStrong AWS experience, including services such as S3, ECS/EKS, Lambda, or equivalent cloud-native technologies\nHands-on experience with Docker, Kubernetes, CI/CD, and operating cloud-native workloads in production\nStrong understanding of production data pipeline concerns including reliability, fault tolerance, observability, monitoring, alerting, and incident response\nExperience establishing and maintaining data governance standards, schemas, validation rules, and repeatable data refinement processes\nPractical experience using AI-assisted software engineering tools as part of the regular development lifecycle\nStrong ownership mindset and ability to independently identify data or engineering problems, propose solutions, implement them, and operate them in production\nStrong communication skills and ability to collaborate directly with engineering, analytics, product, data science, and business stakeholders\nProfessional English sufficient for direct collaboration with U.S.-based teams\nValorizado\nExperience working with healthcare data, HealthTech platforms, or healthcare interoperability\nKnowledge of FHIR, particularly resources such as Practitioner, Organization, PractitionerRole, Endpoint, and Location\nExperience integrating data from EHR/EMR systems, healthcare registries, provider networks, or similar complex data ecosystems\nExperience designing data platforms handling PHI/PII or other regulated and sensitive information\nFamiliarity with HIPAA-related data protection and security considerations\nExperience building AI-powered data processing solutions, particularly entity resolution, relationship inference, classification, enrichment, anomaly detection, or data quality scoring\nPractical experience integrating LLMs into production data workflows, including evaluation, reliability, latency, cost, and data-protection considerations\nExperience with AI engineering tools such as Claude Code, GitHub Copilot, Cursor, or similar platforms\nO que é oferecido\nrange of benefits that support your well-being and charge your professional growth\nResumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.","description_format":"text","description_chars":5638,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-07T06:20:55Z"}],"visa":[],"liveness":{"score":99,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.993,"p_room":1,"age_days":3,"expected_fill_days":47,"reasons":["seen:3","urgency","velocity","win:early"],"computed_at":"2026-10-09T06:01:00Z"},"pay":{"stated_usd_annual":78769,"is_top_pay":false},"html_url":"https://alion.io/job/intellias-senior-data-engineer","json_url":"https://alion.io/job/intellias-senior-data-engineer.json","meta":{"generated_at":"2026-10-10T01:49:55Z","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","counted_by":"address","units_charged":1,"used_today":3267,"day_limit":5000,"remaining_today":1733,"minute_limit":60,"resets_at":"2026-10-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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-senior-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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-senior-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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-senior-data-engineer"},{"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-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintellias-senior-data-engineer"}]}