Data Engineer Scala

Bachelor’s degree (preferred in Computer Science, IT or a related field)
3+ years’ experience in software or data development
3+ years of high-volume experience developing ETL pipelines and data validation with Scala, Spark, the Spark Engine, and the Spark Dataset API
2 or more years working in a data engineering role
1+ years of high-volume experience working with SQL
Candidate must be able to obtain and maintain a Public Trust
Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S.
Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years

Document and communication requirements for data engineers
Write Scala code to support the work on the Analytics and Reporting Team
Utilize and write Python Scripts for ETL and Data Analysis
Perform Data Validation and utilize SQL for data queries
Improve Data Quality Checks
Update and enhance Data Documentation
Analyze large amounts of data to find inconsistencies using Zeppelin notebooks (Scala/Python)
Communicating with external partners around requirements
Consistently scripting and analyzing data
Consistent JIRA and Confluence use
Must attend Scrum Ceremonies and Test Meetings
Working in an Agile environment

5 years’ experience with a bachelor’s degree
Technical knowledge or working experience with Python
Prior experience working with Medicare and/or Medicaid data, especially claims data and familiarity with claims codes (HCPCS/CPT/ICD-10-CM/ICD-10-PCS)
Advanced SQL querying skills and database management knowledge
Git/Github experience
Experience working in an agile environment
Experience working on a project using the Scaled Agile Framework
Experience using Confluence and Jira
Experience with software development team building modern software products
Flexible and willing to accept a change in priorities as necessary