Real job — pulled straight from Saint Francis Health System’s careers page · Verified October 26, 2026 · No reposts.
Job description
Saint Francis Health System is hiring a Analytics Data Engineer — a full-time, based in New Haven, CT role. Apply directly on Saint Francis Health System's careers page below.
Analytics Data Engineer
Location: Yale Campus - Hospital
Time Type: Full time
Job Description
Current Saint Francis Employees - Please click HERE to login and apply.
Full 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.
Minimum Education: Bachelor’s degree in related field.
Licensure, Registration and/or Certification: Epic Cosmos, Cogito or Epic Caboodle Certification. One data model certification, preferred.
Work 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.
Knowledge, 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.
Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities with competing deadlines.
Essential 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.
Ensures 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.
Decision Making: Independent judgment in making decisions involving non-routine problems under general supervision.
Working Relationships: Works with other healthcare professionals and staff. Works frequently with individuals at Director level or above.
Special Job Dimensions: None.
Supplemental Information: This document generally describes the essential functions of the job and the physical demands required to perform the job. This compilation of essential functions and physical demands is not all inclusive nor does it prohibit the assignment of additional duties.
Information Technology Enterprise Data Analytics - Yale Campus
Location:
Tulsa, Oklahoma 74136EOE Protected Veterans/Disability
Get Data Engineer jobs like this→
New roles from thousands of companies land hourly, straight from their careers pages. Get the freshest matches by email so you never miss one.
Email me new jobsSimilar jobs
Frequently asked questions
What skills are required for Analytics Data Engineer at Saint Francis Health System?
The required skills for Analytics Data Engineer at Saint Francis Health System include: SQL, Epic, EHR, HIPAA, ICD-10, CPT Coding, ETL.
What is the seniority level for Analytics Data Engineer at Saint Francis Health System?
Analytics Data Engineer at Saint Francis Health System is a Mid Level level position.
How do I apply for Analytics Data Engineer at Saint Francis Health System?
You can view the full description and apply for Analytics Data Engineer at Saint Francis Health System on EchoJobs: https://echojobs.io/job/saint-francis-health-system-analytics-data-engineer-tc1ki.