{"id":4077334,"url":"https://alion.io/job/binariks-senior-data-engineer","title":"Senior Data Engineer","company":{"id":2433472,"name":"Binariks","domain":"binariks.com","url":"https://alion.io/company/binariks","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"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":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"FHIR","optional":false},{"name":"GCP","optional":false},{"name":"HL7","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Master Data Management","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-11T14:54:05Z","employer_posted_date":null,"last_verified_at":"2026-11-11T14:54:05Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Binariks is looking for a Senior Data Engineer to connect an emerging AI platform to large-scale healthcare and pharma data. The role will build the pipelines, curated facts and semantic models that feed both AI agents and a knowledge graph.\n\nThe project is an emerging AI decision-intelligence platform for pharmaceutical commercial teams, developed for a US healthcare data and analytics company. It turns daily specialty-pharmacy, hub, payer and clinical data into AI-generated recommendations that show why they were made and who acts on them, then measures whether they worked. The role will join a senior Binariks team working alongside the client's product and engineering teams on AWS.\nWhat we are looking for:\n\n5+ years in data engineering with a solid track record in client-facing environments\n\nStrong practical experience architecting and running production environments on Databricks (Delta Lake, Unity Catalog, Workflows)\n\nProficiency in Python (PySpark) and advanced SQL for complex data transformations and high-performance querying (PostgreSQL / Amazon RDS)\n\nProven hands-on track record building robust batch and streaming architectures on AWS (experience with GCP is also considered)\n\nExperience defining business metrics, data abstraction layers, or knowledge graph feeds\n\nDeep understanding of data observability, lineage, metadata management, and data quality tooling\n\nFamiliarity with entity resolution algorithms, record deduplication, and master data management practices\n\nStrong communication and collaboration skills, with the ability to work effectively within a cross-functional team\n\nWorking proficiency in English (B2)\n\nYour Responsibilities:\n\nDesign, build, and maintain Databricks Lakehouse components using Delta Lake, Unity Catalog, and orchestrated Databricks Workflows\n\nDevelop and optimize both batch and event-driven data pipelines across the AWS ecosystem (S3, AWS Glue, Athena, AWS Lambda, and streaming services)\n\nPerform robust SQL development and data modelling (including PostgreSQL / Amazon RDS), along with semantic lakehouse modelling for business entities and metrics powering knowledge graphs\n\nImplement and oversee automated data quality frameworks, data lineage tracking, and governance standards across the platform\n\nLead master data management (MDM) initiatives and entity resolution pipelines to consolidate core entities (such as patients, healthcare professionals/HCPs, and healthcare accounts)\n\nWill Be a Plus:\n\nFamiliarity with healthcare standards and terminologies (FHIR, HL7, OMOP, RxNorm, SNOMED)\n\nExperience in Pharma, Life Sciences, or HealthTech domains","description_format":"text","description_chars":2619,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Ukraine","iso":"UA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Software","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-11-11T15:43:45Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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