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Job Description

South Texas Radiology Group, P.A. seeks a Data Engineer to build and maintain data pipelines and analytics support for enterprise reporting and BI across the organization.

  • Adhere to STRG Policies and Procedures at all times
  • Gather information for moderately complex processes; analyze data and trends; identify root causes
  • Build and maintain centralized data warehouse infrastructure
  • Select appropriate platform options for each component of the data warehouse
  • Import data from multiple agency EHRs and web-based sources using ELT/ETL best practices
  • Partner with internal managers and external partners to establish data pipelines for reporting and other business functions
  • Ensure data integrity across data sources, including integrated information systems
  • Support physician productivity reporting and other measurable outcomes with the President
  • Support physician scheduling and related reporting needs with the Vice President, as needed
  • Assist with enterprise report creation using warehouse data, including development of a data dictionary
  • Maintain data normalization strategy for new incoming warehouse data
  • Create and maintain a semantic layer for report KPIs and business metrics
  • Support data mining and analytical capabilities to inform executive-led decision making and corporate strategy
  • Develop and maintain a data management strategy covering data acquisition and archive recovery
  • Support business teams interacting with the data warehouse and/or underlying data sources
  • Maintain CI/CD best practices for accurate and accessible business data using Agile project management principles
  • Provide transparency of development processes
  • Review and audit reports, data sources, and data streams for accuracy and completeness
  • Manage and deploy BI tools for company teams
  • Support departmental initiatives as requested
  • Assist with alerting and educating staff on EHR changes
  • Support system administrative setup as requested
  • Maintain strict confidentiality of patient protected health information as required by STRG procedures and HIPAA Privacy, Security, HITECH, and Transactions and Code Sets regulations
  • Perform other duties as required

Requirements

  • Strong attention to detail and ability to multitask across multiple priorities
  • Advanced Excel knowledge and experience required
  • Knowledge of analytical and BI tools: MS Excel, Tableau, PowerBI
  • Strong programming skills: Python, SQL, shell/bash
  • Expertise in: database technologies, ELT/ETL processes, REST APIs, data warehousing, and workflow management tools
  • Experience querying and maintaining relational databases: SQL Server, Postgres
  • Version control experience: GitHub
  • Knowledge of containerization technologies
  • Experience with cloud development platforms such as GCP and cloud-native applications
  • Cursory understanding of healthcare terminology, including CPT, RVU, and charge terminology
  • Knowledge of revenue cycle systems and mapping logic within billing tables
  • 4 years of experience in end-to-end analysis and/or operations experience, including at least some of: requirement gathering and documentation, operational planning and forecasting, data analytics or current/future state analysis, in support of business planning initiatives

Technologies

  • Excel
  • Tableau
  • PowerBI
  • Python
  • SQL
  • shell/bash
  • ELT/ETL
  • REST APIs
  • Data warehousing
  • Workflow management tools
  • SQL Server
  • Postgres
  • GitHub
  • Containerization technologies
  • GCP
  • Cloud-native applications
  • CPT
  • RVU

Job Details

  • Position: Data Engineer
  • Reports to: Controller
  • Location: San Antonio, TX (on-site)
  • FLSA status: Exempt
  • Experience: 4 years minimum
  • Attendance / Work Schedule: Must meet minimum attendance requirements, work full-time regular hours Monday through Friday, and be available for after-hours or weekends as required, including scheduled or emergency overtime; this role does not include “light duty” and does not allow unpredictable or unrestricted absences

Education

  • Bachelor’s degree in Computer Science, Data Analytics, Management Information Systems, or Business Administration
  • Supplemented with one or more courses in current technology
  • Experience in lieu of formal education may be substituted

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