Data Engineer


Data Engineer


  • Working with other like-minded high performers within an Agile environment
  • Working with Product Managers and other team members to identify and define data requirements
  • Experience in building data pipelines, Data Modeling and automation
  • Continuously improve software engineering practices.
  • Writing unit tests and automation tests to prevent regressions
  • Occasionally assisting with the investigation and resolution of support issues
  • Using your experience to contribute to the continuous improvement of our processes and culture


  • 5-7+ years of experience working as a Data Engineer
  • In-depth knowledge of Python, Shell Scripting, Py-spark
  • Experience with Apache Spark
  • Experience working with cloud solutions (AWS preferred)
  • Proficient in writing complex SQL queries in both SQL and NoSQL Databases
  • Understanding of build and deployment processes
  • A proficient understanding of distributed version control tools and source control strategies
  • Excellent communications skills and analytical skills


  • Experience working in agile environments
  • Demonstrated ability and interest in learning new technologies
  • Candidates should be self-starters and have the ability to work in a fast paced, demanding, and rapidly changing environment
  • Ability to perform detailed analysis of business problems and technical environments.
  • Strong oral and written communication skills.
  • Strong teamwork and collaboration skills.
  • Health Care / Health Services business area subject matter expertise preferred
  • Bachelor’s degree in Computer Science on related discipline with at least 7+ years of recent experience designing, developing, deploying, and supporting computing applications in a large-scale, midrange, and distributed environment as a Technical Lead / Senior Software Engineer

How to Apply:

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Location: Lafayette, LA
Date Posted: September 30, 2021
Application Deadline: November 01, 2021