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DataLink Software is seeking a highly qualified, experienced Data Operations Engineer. The right candidate for this position is someone who enjoys challenging work in a fast-paced environment and solving complex business problems with data and analytics enabling our customers in their pursuit of better healthcare outcomes for their members. This is a remote role and we are seeking individuals who work within the following states AR, CO, DC, FL, IN, MI, TX, or WI.  Demonstrated knowledge of value-based care, HEDIS, STARS, and risk adjustment experience preferred.

Essential Functions

  • Design, develop and implement ETL solutions for ingesting, cleansing, business rules execution and pushing customer data into DataLink’s systems.
  • Significant participation in analysis, interpretation, and translation of complex health plan data, issues, trends and relationships to provide our customers detailed insights into their data
  • Analyze and interpret complex data on source and target systems, identify the gaps, and provide solutions
  • Ability to write complex SQL queries
  • Optimizes SSIS package execution and SQL execution to minimize load times.
  • Ensures data integrity throughout the ETL process and appropriately handle errors
  • Work closely with Scrum team members using Agile processes to iteratively develop and improve ETL pipelines.
  • Proactively provide feedback and process improvement recommendations to the team and management
  • Other duties as assigned


  • Bachelor’s degree in Computer Science, Management Information Systems or related discipline Overall 5+ years of experience designing and developing ETL processes
  • 3+ years of experience with SSIS, SSRS, SQL Server and T-SQL
  • Data analysis, data presentation, spread sheet and database capabilities
  • 3+ years of experience automating ETL pipelines with a heavy emphasis on quality, validation and tracking
  • Experience with SAS or other statistical applications
  • Experience with SSAS, Tabular Models and/or Star Schemas
  • Experience with Healthcare data
  • Experience with NoSQL Database such as Hadoop and MongoDB
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