{"id":3064452,"url":"https://alion.io/job/saint-francis-health-system-analytics-data-engineer","title":"Analytics Data Engineer","company":{"id":1881622,"name":"Saint Francis Health System","domain":"saintfrancis.com","url":"https://alion.io/company/saintfrancis","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":29,"ghost_share":0,"stale_share":0.759,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":92000,"max_usd":174000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":479},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"HIPAA","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-21T00:00:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T15:38:52Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Current Saint Francis Employees - Please clickHERE to login and apply.\nFull TimeDaysJob Summary: The Analytics Data Engineer queries, builds and supports the data infrastructure that powers innovative neuroscience and mental health research. This role works with investigators, clinicians, data scientists, Data Architects, Developers, Integrators, and research teams to transform healthcare data into secure, high-quality research datasets, develop scalable data pipelines, optimize databases, and advance clinical research using Epic (Cosmos) and similar enterprise healthcare data platforms.\nMinimum Education: Bachelor’s degree in related field.\nLicensure, Registration and/or Certification: Epic Cosmos, Cogito or Epic Caboodle Certification. One data model certification, preferred.\nWork Experience: Minimum 3 years related experience. The ideal candidate will have strong SQL experience, preferably within healthcare, along with experience using Epic Clarity or Caboodle. Experience with Epic Cosmos is an additional plus.\nKnowledge, Skills and Abilities: Knowledge of Microsoft 365 and other applicable software. Advanced knowledge of structured query language (SQL). Knowledge of healthcare data standards (ICD-10 (International Classification of Diseases, 10th Revision), CPT (Current Procedural Terminology), SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms), LOINC (Logical Observation Identifiers Names and Codes), and RxNorm (a standardized nomenclature for clinical drugs and drug delivery devices), while HIPAA (Health Insurance Portability and Accountability Act). Proven knowledge of data management to understand integrity issues and facilitate their resolution. Excellent communication skills, both written and verbal that present clear and concise information. Strong analytical skills.\nAbility to work independently and collaboratively in a fast-paced environment, managing multiple priorities with competing deadlines.\nEssential Functions and Responsibilities: Designs and maintains Extract, Load, Transform (ELT) pipelines for clinical and research data. Develops and optimizes complex Structured Query Language (SQL) queries, databases, and analytics-ready datasets. Extracts, cleans, and integrates data from Epic, Cosmos, or similar Electronic Health Record (EHR) Platforms, Research Electronic Data Capture (REDCap), and other research systems. Collaborates with researchers to translate research questions into technical data solutions.\nEnsures data quality, security, Health Insurance Portability and Accountability Act (HIPAA) compliance, and reproducible workflows. Documents data pipeline and support continuous improvement of research data infrastructure.\nDecision Making: Independent judgment in making decisions involving non-routine problems under general supervision.\nWorking Relationships: Works with other healthcare professionals and staff. Works frequently with individuals at Director level or above.\nSpecial Job Dimensions: None.\nSupplemental Information: This document generally describes the essential functions of the job and the physical demands required to perform the job. 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