Data Engineer: Healthcare BI Pipelines & Analytics

South-Texas-Radiology-Group,-P.a.; San Antonio (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

South-Texas-Radiology-Group, P.a. is seeking a Data Engineer to design and maintain data pipelines, collect and transform data for business analysts, and ensure data integrity across multiple sources.

You will build a centralized data warehouse, select appropriate platforms, and enable robust reporting for physician productivity and operational decision-making. Responsibilities include collaborating with managers and partners, developing a data dictionary, and implementing CI/CD practices for

Qualifications

• 4 years of end-to-end analysis or operations experience supporting business planning.
• Advanced Excel skills and proficiency with BI tools (Tableau/Power BI).
• Experience gathering data from EHRs and building data warehouses with ETL/ELT.

Responsibilities

• Collect, manage, and convert data into accessible information for business teams and analysts.
• Create and maintain data pipelines to a central data warehouse from multiple sources.
• Perform data integrity reviews with end users and support reporting needs.
• Maintain data normalization and semantic layer for KPIs and metrics.
• Support CI/CD practices and Agile processes for data projects.
• Assist with enterprise reports, data dictionary, and data governance.

Skills

Excel

Tableau

PowerBI

Python

SQL

Shell/Bash

REST APIs

Data Warehousing

ETL/ELT

GitHub

PostgreSQL

SQL Server

GCP

Education

Bachelor’s degree in Computer Science, Data Analytics, MIS or Business Administration

Job description

South-Texas-Radiology-Group, P.a. is seeking a Data Engineer to design and maintain data pipelines, collect and transform data for business analysts, and ensure data integrity across multiple sources.

You will build a centralized data warehouse, select appropriate platforms, and enable robust reporting for physician productivity and operational decision-making. Responsibilities include collaborating with managers and partners, developing a data dictionary, and implementing CI/CD practices for