{"id":721744,"url":"https://alion.io/job/iterativehealth-staff-data-engineer","title":"Staff Data Engineer","company":{"id":720277,"name":"Iterative Health","domain":"iterative.health","url":"https://alion.io/company/iterative-5","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":325000,"currency":"USD","period":"year","gross":null,"usd_annual":325000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"FHIR","optional":false},{"name":"HL7","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"HIPAA","optional":true},{"name":"SOC 2","optional":true}],"status":"live","first_seen_at":"2026-04-24T20:03:40Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-11-04T18:57:34Z","board_verified":true,"closed_at":null,"days_open":194,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":193},"description":"Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes.\nWe built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide.\nAbout the Role\nAccelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. That means designing technology systems that bring order to a fragmented landscape of clinical data sources, automating the operational work that slows trials down, and turning real-world clinical data into a foundation for predictive intelligence.\nWe're building a uniquely valuable data asset: real-world patient and research data flowing across 80+ trial sites, spanning dozens of EHRs and clinical systems, focused on patient populations that are chronically underserved by existing clinical research infrastructure. Your job is to build the pipelines, data models, and AI infrastructure that make this asset real, from ingestion and normalization through to the systems that power predictions on top of it. You'll own data quality and observability as foundational engineering problems. You'll also have a direct hand in shaping how this data drives our AI strategy, what we model, what we predict, and what becomes possible.\nThis is an opportunity for someone who wants to be part of a small, fast-moving engineering team at a formative stage. You'll shape what gets built, how decisions get made, and what the team becomes.\nResponsibilities\nOwn the data layer and architecture: the models, schemas, and infrastructure decisions that everything downstream depends on\nBuild and operate the pipelines and transformations that move data from ingestion through normalization, enrichment, and into the formats that support analytics, ML training, and production model serving\nOwn data quality and observability: build the systems that make data issues visible and correctable before they compound\nPartner with ML and engineering teams to identify what's modelable, define training data requirements, and build the data foundations for new predictive capabilities\nDefine how clinical and operational data is governed across the system\nEvaluate and select the tools and technologies that make up the data stack, with a clear point of view on build vs. buy\nHelp shape the engineering culture of a small, growing team: how technical decisions get made, how problems get debated, what rigor looks like in practice\nWhat We’re Looking For\nRequired Qualifications\n10+ years of experience in data engineering or related roles, with significant time spent building data systems\nExperience with healthcare data strongly preferred (HL7, FHIR, claims, EHR extracts) or other complex, regulated data domains\nDeep experience modeling and integrating data from multiple heterogeneous sources with inconsistent schemas and quality\nExperience applying AI and LLMs to data engineering problems: extraction, normalization, classification, entity resolution\nStrong understanding of how data infrastructure supports ML workflows from feature engineering to training data pipelines to model serving\nFluent in SQL and at least one modern programming language (Python, Java, Scala, Go), with experience across modern data infrastructure - distributed processing, streaming, cloud-native storage, orchestration, and transformation frameworks\nHave built data systems from early stages, making foundational decisions with incomplete information\nNaturally raise the quality of the engineering around you through code review, design guidance, and honest technical conversation\nPreferred Qualifications\nExperience building data infrastructure that directly supports ML model training and evaluation\nFamiliarity with clinical trial operations, EDC systems, or life sciences data\nSOC 2, HIPAA or similar compliance experience baked into engineering practice\nA track record of building or improving data systems that others had given up on making reliable\nNew York pay range\n$200,000—$325,000 USD\nAt Iterative Health, we’re actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact .","description_format":"text","description_chars":5066,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Medical AI","Clinical Trial Sites & Recruitment"],"lifecycle":[{"event":"open","at":"2026-09-11T07:14:15Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1 · green card filings: 1","filings_12m":1,"filings_prev_12m":2,"green_card_filings_12m":1,"median_offered_wage_usd":157500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.655,"p_room":0.28,"age_days":193,"expected_fill_days":56,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-11-04T06:34:25Z"},"pay":{"stated_usd_annual":325000,"is_top_pay":true},"html_url":"https://alion.io/job/iterativehealth-staff-data-engineer","json_url":"https://alion.io/job/iterativehealth-staff-data-engineer.json","meta":{"generated_at":"2026-11-04T23:45:45Z","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":760,"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":720277},"rest":"https://alion.io/mcp/rest/get_company?id=720277"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fiterativehealth-staff-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%2Fiterativehealth-staff-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%2Fiterativehealth-staff-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/iterativehealth-staff-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fiterativehealth-staff-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":721744}},{"tool":"search_jobs","arguments":{"company":"iterative.health","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":721744},"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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