Data Engineer, Analytic Operations

.NET, Analytics, Automation, Cubes, ETL, Microsoft Power BI, Microsoft SSAS, Microsoft SSIS, Microsoft SSRS, OLAP, Business intelligence, Microsoft Windows Azure, Databricks, Azure, SaaS, SQL, Tableau, Data warehouse, Java
Full Time
Up to $105,000
Travel not required

Job Description

This role is fully remote.

nThrive® provides leading healthcare revenue cycle management SaaS solutions, offering patient access, charge integrity, claims management, contract management, machine learning & robotic process automation, data & analytics, and education software solutions to more than 900 hospitals and health systems in North America, including 37 of the 40 largest healthcare providers in the U.S. nThrive's end-to-end software platform helps healthcare organizations increase revenue, reduce costs, expand cash collections, and ensure regulatory compliance across the entire revenue cycle continuum. For more information on nThrive, please visit



The Data Engineer is responsible for implementing and supporting analytic solutions using the latest Microsoft BI tools to meet internal and external stakeholders’ business needs. This role is responsible to implement client enhancement requests, troubleshoot inoperable conditions in the data processing, and implement new client data processes and products.

Essential Duties & Responsibilities:

  • Complete technical aspects of product implementation and support
  • Work closely with Lead Engineer and Senior Data Engineers in managing production environments
  • Work with stakeholders to understand business needs and develop highly scalable solutions and make recommendations to help solve problems or improve processes
  • Understand and work with multiple data sources to meet business rules and supports analytical needs
  • Analyze potential data quality issues to determine the root cause and creating effective solutions. 
  • Optimize processes involving large data sets to improve performance
  • Participates in on-going evolution, improvement, and automation of data warehouse solutions
  • Mentor associate data engineers
  • Assist in organizing and completing backlog tasks based on priority from applicable stakeholders


  • 5+ years of experience working directly with data warehouses and Business Intelligence
  • 5+ years’ experience designing, developing, testing, and supporting of ETL, and OLAP cubes
  • 4+ years’ experience on Microsoft BI stack (SSIS, SSAS, and SSRS) 
  • 1+ years’ experience on Microsoft Azure data warehouse stack and/or Databricks 
  • Advanced SQL Server programming and knowledge of data warehousing best practices
  • Working experience of OLAP technologies, and dimensional modeling. 
  • Working experience in Microsoft Azure Data Warehouse technologies such as Azure Data Factory, Polybase, U-SQL, SQL Data warehouse, Azure Analysis Services 
  • Working experience in at least one of the BI tools such as Power BI, Tableau, Spotfire, Microstrategy  
  • The ability to extrapolate database schema to meet the business needs of the application
  • Excellent problem solving and analytical skills
  • Excellent verbal and written communication skills
  • Travel required: No travel required for this role

Preferred Skills:

  • Bachelor’s Degree in Computer Science or equivalent concentration
  • .Net or Java programming skills are plus
  • Healthcare experience is a plus
Dice Id : 501589903
Position Id : 7098626
Originally Posted : 3 months ago
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