Analytics Data Engineer
Tulsa, OKFull-timeSeen 5 days agoSeen in employer's feed 5 days ago
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Job overview
The Analytics Data Engineer builds and supports data infrastructure for neuroscience and mental health research. The role transforms healthcare data into secure research datasets, develops data pipelines, optimizes databases, and supports clinical research using Epic Cosmos and similar platforms. The ideal candidate has strong SQL experience, preferably in healthcare, and experience with Epic Clarity or Caboodle; Epic Cosmos experience is an additional plus.
Skills & qualifications
Skills
Qualifications
Full job description
Yale Campus - Hospital
Full time
JR32874
Current Saint Francis Employees - Please click HERE (https://wd115.myworkday.com/saintfrancis/d/task/2998$46522.htmld) to login and apply.
Full Time
Days
Job 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 74136
EOE Protected Veterans/Disability
Saint Francis is a Catholic, not-for-profit Health system based in Tulsa, Oklahoma. We are the largest private employer in Eastern Oklahoma with over 12,000 employees, including 1,000 physicians. The health system is anchored by the 1,112-bed Saint Francis Hospital, the largest hospital in Oklahoma and the 11th largest in the nation. Our system also includes hospitals in south Tulsa, Muskogee and Vinita, as well as 110 Warren Clinic locations from Monkey Island to McAlester, northeastern Oklahoma's only children's hospital, a level IV neonatal intensive care unit, a 168-bed heart hospital, and Tulsa's leading trauma and emergency center.
How this job compares
Set against the 5,783 open Data Engineer jobs on Olive Jobs, counted October 28, 2026.
- Pay
- This postingNot listed
- Oklahoma median$99–202K/yr29 salary ranges
- US median$61–75/hr275 hourly ranges
- Openings
- Olive Jobs lists 37 open Data Engineer jobs in Oklahoma and 5,783 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 3 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,007 postings).
- Education
- This posting asks for a bachelor's degree; 2,683 of the 5,783 open Data Engineer jobs (46%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 28, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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