Senior Analytics Engineer: Data Products & Cloud Analytics

Arup; Salt Lake City (UT); On-site; USD 120,000 - 150,000; Full time

Job summary

ARUP Laboratories, based in Salt Lake City, Utah, seeks a Sr. Analytics Engineer to model complex clinical and operational data into data products for analytics tooling.

You will collaborate with IT staff, Medical Directors and Lab Managers to refine data models and enable scalable analytics across the organization. The role focuses on advancing data ontology, modern data platforms, and STATE data products, with responsibilities spanning data ingestion, transformation, and governance.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Six+ years of professional data/analytics engineering experience in a cloud environment.
• Advanced SQL and modeling with modern transformation frameworks (dbt).
• Experience architecting scalable data models and managing large projects with many models.
• Hands-on cloud data infrastructure knowledge (AWS/GCP/Azure), IAM, VPCs, encryption.
• Proficiency in Python or R for data manipulation and automation.

Responsibilities

• Apply software engineering best practices to the data transformation layer using dbt.
• Architect and optimize the query layer for analytics across data lake/warehouse (Athena/Redshift/BigQuery).
• Own ingestion and orchestration frameworks stitching disparate clinical data sources (Glue, Airflow, Dagster).
• Lead modernization of ARUP's data ontology for clinical and business domains.
• Contribute to long-term roadmap to scale cloud storage and compute for high-volume data.
• Collaborate with leadership to deliver STATE data products.
• Other duties as assigned.

Skills

SQL mastery

dbt expertise

Python or R

Data modeling

Cloud infrastructure

Education

Bachelor's Degree in CS or related

Master's Degree preferred

Tools

dbt

Athena/Redshift/BigQuery

Glue/Airflow/Dagster

Job description

ARUP Laboratories, based in Salt Lake City, Utah, seeks a Sr. Analytics Engineer to model complex clinical and operational data into data products for analytics tooling.

You will collaborate with IT staff, Medical Directors and Lab Managers to refine data models and enable scalable analytics across the organization. The role focuses on advancing data ontology, modern data platforms, and STATE data products, with responsibilities spanning data ingestion, transformation, and governance.