Senior Analytics Engineer

Location
:

ARUP Main
500 Chipeta Way
Salt Lake City, UT 84102
USA

Schedule :
Monday - Friday (40 hrs/wk)
8:00 AM - 5:00 PM

Department
:
Biocomputing - 331

The Sr. Analytics Engineer is responsible for modeling our complex clinical and operational data into data products that capture how a world‑class laboratory functions. Works with Information Technology Staff, Medical Directors, and Lab Managers to understand the nuances of our laboratory operations to augment our data model for modern analytics tooling.

ARUP Laboratories is a national clinical and anatomic pathology reference laboratory and an enterprise of the University of Utah and its Department of Pathology. Based in Salt Lake City, Utah.

• Apply software engineering best practices (version control, modularity, automated testing, etc.) to our data transformation layer using industry‑standard frameworks such as dbt.
• Architect and optimize the query layer to ensure performant analytics across our data lake and warehouse using serverless or managed technologies like Athena, Redshift, or Big Query.
• Own the ingestion and orchestration frameworks that stitch together disparate clinical data sources using modern tools such as Glue, Airflow, or Dagster.
• Lead the modernization of ARUP’s data ontology for specific clinical and business domains such as Laboratory Operations, Revenue Cycle, Genomics, and Quality Control.
• Contribute to the long‑term technical roadmap for our data platform, informing high‑level decisions on how to scale cloud‑based storage and compute to handle high‑volume data.
• Collaborate with leadership to collect requirements and write the code for Secure, Timely, Accurate, Trusted, and Extensible (STATE) data products.
• Other duties as assigned.

• Stooping: bending body downward and forward by bending spine at the waist.
• Reaching: extending hand(s) and arm(s) in any direction.
• Mobility: occasionally move between work sites and inside the office to access file cabinets, office machinery, etc.
• Communicate: frequently communicate with others.
• PPE: work in a biohazard laboratory environment that requires use of personal protective equipment in accordance with CDC and OSHA regulations and company policies.
• ARUP Policies and Procedures: conduct oneself in compliance with all ARUP policies and procedures.
• Sedentary Work: exert up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects.
• Fine Motor Control: picking, pinching, typing or otherwise working primarily with fingers rather than with the whole hand.
• Vision: having close, far, and peripheral visual acuity to perform a variety of tasks such as make general observations of depth and distance.

Education

• Required:
  
  Bachelor's Degree or better in Computer Science or related field.
• Preferred:
  Master's Degree or better in Computer Science or related field.

Experience

• Required:
  
  Six plus (6+) years of professional experience in data engineering, analytics engineering, or a related technical field, with a proven track record of architecting scalable data models in a cloud environment.
• Preferred:
  Advanced degrees or specialized certifications;
  Expert SQL & Modeling;
  Cloud Infrastructure experience (AWS, GCP, or Azure);
  Programming proficiency in Python or R.

Licenses & Certifications

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.