FinThrive

Staff Data Engineer

Job description

About FinThrive

FinThrive is advancing the healthcare economy. We rethink revenue management to pave the way for a healthcare system that ensures every transaction and patient experience is addressed holistically. We’re making breakthroughs in technology—developing award-winning revenue management solutions that adapt with healthcare professionals, freeing providers and payers from complexity and inefficiency, so they can focus on doing their best work. Our end-to-end revenue management platform delivers a smarter, smoother revenue experience that increases revenue, reduces costs, expands cash collections, and ensures regulatory compliance across the entire revenue cycle continuum. We’ve delivered over $10 billion in net revenue and cash to more than 3,245 customers worldwide. When healthcare finance becomes effortless, the boundaries of what’s possible in healthcare expand. For more information on our new vision for healthcare revenue management, visit finthrive.com

Award-winning Culture of Customer-centricity and Reliability

At FinThrive we’re proud of our agile and committed culture, which has led to certification as a Great Place to Work since 2017. We’re honored to have been ranked #21 among the Best Workplaces in Healthcare for 2023, and we know that it's our collective dedication that makes FinThrive an exceptional place to work.

  • Find balance with our remote-friendly organization
  • Take time to recharge and pursue your passions
  • Be part of a positive and supportive work environment
  • Grow and excel your career with training and education

Our Perks and Benefits

FinThrive is committed to continually enhancing the employee experience by actively seeking new perks and benefits. For the most up-to-date offerings visit finthrive.com/careers-benefits .

Impact you will make

The Staff Data Engineer is responsible for designing, developing, and supporting highly scalable data warehousing solutions and expected to work with the latest Microsoft BI tools to create solutions that meet internal and external stakeholders’ business needs.

What you will do

  • Participate in analysis, design, development, deployment, and support of Data Warehouse solutions
  • Work closely with Lead and Architect in implementing best practices and managing production and development/test environments
  • Work with stakeholders to understand business needs and develop highly scalable solutions and make recommendations to help solve problems or improve processes
  • Understanding and working with multiple data sources to meet business rules and supports analytical needs
  • Create Databrick notebooks, stored procedures, SSIS packages, and using other methods to import/translate/manipulate data
  • Analyze potential data quality issues to determine the root cause and creating effective solutions
  • Optimize processes involving large data sets to improve performance
  • Participate in on-going evolution, improvement, and automation of data warehouse solutions
  • Mentor other developers and analysts

What you will bring

  • Bachelor’s Degree in Computer Science
  • 6+ years of experience working directly with data warehouses and Business Intelligence
  • 6+ 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 or equivalent cloud
  • 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 or equivalent
  • 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

What we would like to see

  • 2+ years’ experience on Microsoft Azure data warehouse stack and/or Databricks or equivalent cloud
  • . NET or Java programming skills
  • Healthcare Revenue Cycle Experience in a data science environment
  • Working experience in at least one of the BI tools (i.e., Power BI, Tableau, Spotfire, MicroStrategy )
  • Working experience in Databricks

Statement of EEO

FinThrive values diversity and belonging and is proud to be an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. We're committed to providing reasonable accommodation for qualified applicants with disabilities in our job application and recruitment process.

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