Analytics Data Engineer

Saint Francis Hospital Muskogee, Inc.; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Saint Francis Hospital Muskogee, Inc. is seeking an Analytics Data Engineer to build and support data infrastructure for neuroscience and mental health research.

You will collaborate with investigators, clinicians, data scientists, and IT teams to transform healthcare data into secure, high-quality research datasets, developing scalable pipelines using Epic (Cosmos) and similar platforms. The role emphasizes strong SQL skills, healthcare data standards, HIPAA compliance, and reproducible data

Qualifications

• Bachelor’s degree in related field required.
• Strong SQL experience, healthcare setting preferred.
• Experience with Epic Clarity or Caboodle is a plus.
• Familiarity with ICD-10, CPT, SNOMED, LOINC, RxNorm and HIPAA.

Responsibilities

• Designs and maintains ELT pipelines for clinical and research data.
• Develops and optimizes SQL queries, databases, and analytics-ready datasets.
• Extracts and integrates data from Epic/Cosmos, REDCap, and other research systems.
• Collaborates with researchers to translate questions into technical data solutions.
• Ensures data quality, security, HIPAA compliance, and reproducible workflows.

Skills

SQL proficiency

HIPAA compliance

Data management

Communication skills

Analytical skills

EHR platforms

Education

Bachelor’s degree in related field

Tools

Epic Cosmos

Cosmos

Epic Caboodle

REDCap

Job description

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 (InternationalClassification of Diseases, 10th Revision), CPT(Current Procedural Terminology), SNOMED CT (SystematizedNomenclature of MedicineClinical Terms), LOINC(Logical Observation IdentifiersNames and Codes), and RxNorm (astandardized nomenclaturefor clinical drugsand drug deliverydevices), whileHIPAA (Health InsurancePortability and AccountabilityAct). 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