{"id":3644209,"url":"https://alion.io/job/mountsinainyc-data-engineer-ii-surgery","title":"Data Engineer II - Surgery","company":{"id":64028,"name":"Mount Sinai Health System","domain":"mountsinai.org","url":"https://alion.io/company/mountsinainyc","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":39,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Django","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MongoDB","optional":false},{"name":"MySQL","optional":false},{"name":"Node JS","optional":false},{"name":"Oracle","optional":false},{"name":"PHP","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Clarity","optional":true},{"name":"FHIR","optional":true},{"name":"HIPAA","optional":true},{"name":"HL7","optional":true},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-05-26T20:41:07Z","employer_posted_date":"2026-05-26","last_verified_at":"2026-11-04T01:46:06Z","board_verified":true,"closed_at":null,"days_open":161,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":160},"description":"The Mount Sinai Program for Surgical Intelligence is seeking a Data Engineer to support the development and deployment of data-driven tools in surgical care. This role will focus on building and maintaining data pipelines, managing surgical datasets (including operative video), and supporting execution of technical and clinical research initiatives.\nThe Data Engineer will work closely with surgeons, engineers, and researchers to ensure surgical data is reliable, well-organized, and accessible for downstream analytics and machine learning applications. This is a hands-on role with significant responsibility and opportunities for growth. Prior experience working with healthcare data systems is strongly preferred, as this role will require immediate engagement with clinical datasets and interoperability challenges.\nThe role may be hybrid but will be partially on-site at the Mount Sinai Hospital campus on the Upper East Side of Manhattan. The position will be managed by surgeons within the Mount Sinai Department of Surgery who will serve as clinical experts and liaisons for real world application of the work, as well as information technology experts who will provide the appropriate technical resources to carry out the role successfully.\nDesign, build, and maintain data pipelines for surgical datasets, including structured data and operative video\nSupport ingestion, organization, curation, and access control for an operative video repository\nCollaborate with clinical and research teams to define data schemas, metadata standards, and labeling conventions\nEnsure data quality, traceability, and reproducibility across projects\nBuild durable data pipelines and organizational structures that support ongoing research and clinical deployment, rather than one-off analyses\nSupport execution of research and clinical AI projects across the Department of Surgery\nTrack project milestones, deliverables, and documentation\nMaintain datasets, technical documentation, and shared resources\nCoordinate with engineers, clinicians, and institutional partners to ensure smooth project execution\nEngage with surgical teams to understand clinical workflows and data generation processes\nTranslate clinical needs into technical requirements and actionable tasks\nIdentify and resolve data-related bottlenecks affecting research and deployment efforts\nBachelors degree in Computer Science or a related discipline; Advanced degree preferred.\n4+ years relevant professional development experience, preferably in a LINUX environment.\nStrong SQL and NoSQL Database Knowledge: Oracle, PostgreSQL/MYSQL, and Mongo DB (or similar).\nProficiency with at least 2 programming languages among Scala/Python/ Java. Must be flexible and fast to pick up new languages.\nProficiency in Restful service development, preferably with Node JS, Django and PHP.\nExperience with micro-services and SOA.\nProficiency on installation and configuration of big data software and technology\nKnowledge of Hadoop, Spark, Kafka and other big data technology stacks and streaming tools.\nFamiliarity with and the ability to leverage a wide variety of open source technologies and tools.\nWorking knowledge of cloud architecture and implementation onAzure or AWS, is a big plus. Experience with serverless computing, creating VMs, cloud security, and other cloud services is also a big plus.\nExperience working in an Agile methodology. Experience working with JIRA is a plus.\nStrong organizational skills and ability to manage work in an evolving environment\nEffective communication skills with both technical and non-technical stakeholders\nPrior experience working with healthcare data, including electronic health record (EHR) systems, clinical registries, or medical imaging datasets preferred.\nFamiliarity with healthcare data models and standards (such as Epic Clarity, Caboodle, OMOP, FHIR, HL7) and clinical coding systems (e.g., ICD-10, CPT, LOINC, RxNorm) preferred.\nExperience handling regulated data environments, including HIPAA-compliant workflows and data governance practices preferred.\nExperience with data integration across heterogeneous sources (e.g., EHR + imaging + research datasets) preferred.\nExperience with video data or large unstructured datasets preferred.\nInterest in building repeatable, well-documented data pipelines that support ongoing research and clinical deployment preferred.\nNon-Bargaining Unit, 862 - Surgery - ISM, Icahn School of Medicine","description_format":"text","description_chars":4445,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Hospitals & Health Systems","Primary Care & Medical Centers"],"lifecycle":[{"event":"open","at":"2026-11-02T22:15:42Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.189,"p_room":0.28,"age_days":160,"expected_fill_days":27,"reasons":["conf:2","stale_co","win:tail","crowd:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/mountsinainyc-data-engineer-ii-surgery","json_url":"https://alion.io/job/mountsinainyc-data-engineer-ii-surgery.json","meta":{"generated_at":"2026-11-04T04:43:35Z","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":7285,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":64028},"rest":"https://alion.io/mcp/rest/get_company?id=64028"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmountsinainyc-data-engineer-ii-surgery"},{"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%2Fmountsinainyc-data-engineer-ii-surgery"},{"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%2Fmountsinainyc-data-engineer-ii-surgery"},{"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/mountsinainyc-data-engineer-ii-surgery\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmountsinainyc-data-engineer-ii-surgery"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3644209}},{"tool":"search_jobs","arguments":{"company":"mountsinai.org","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3644209},"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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