Full-Time Senior Data Engineer

Key responsibilities include:

• Develop and maintain cost measures
• Make sure Spark/Scala pipelines are implemented properly
• Work on GLMs/mixed-effects models and their inner workings across programming languages
• Develop Scala measure implementations based on specifications and sample SAS packs.
• Work with large amounts of data associated with Medicare Claims
• Communicate with external partners around requirements

This work affects the quality and cost of care for Medicare and Medicaid patients through the Quality Payment Program. You will be involved in a highly successful team that has a long track record of meeting deadlines and delivering quality.

Key Responsibilities and Job Duties

• The position is remote however we work East Coast hours and meetings may start as early as 9:00 AM Eastern Time. Core hours also apply
• Some travel may be required for in-person Program Increment Planning events. Typically, one or two events a year
• Consistent JIRA and Confluence use
• Must attend Scrum Ceremonies and Test Meetings

Required Qualifications

• Bachelor's degree
• 5 years' experience in Data or Software Development
• 3 or more years working in a Data Engineering role
• 2 years of coding skills in Spark/Scala
• 2 or more years of experience with any SQL dialect
• 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

Professional Skills

• Strong problem-solving skills, able to work independently
• Ability and desire to take ownership of and initiative for analyses; from requirements clarification to deliverables
• Strong technical communication skills; both written and verbal
• Ability to understand and articulate the "big picture" and simplify complex ideas
• Ability to identify and learn new techniques independently as needed

Preferred Qualifications

• 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)
• Prior experience with Spark/PySpark/SparkR for analyzing large amounts of data
• Advanced SQL querying skills and database management knowledge
• Worked with the government previously and has had at least a Public Trust clearance
• Git/Github experience
• Worked in an agile environment
• Usage of Confluence and Jira
• Experience working on a project using the Scaled Agile Framework
• Experience on a software development team building modern software products
• Flexible and willing to accept a change in priorities as necessary

Job Location: This position requires that the job be performed in the United States. If you accept this position, note that ICF monitors employee work locations, blocks access from foreign locations/foreign IP addresses, and prohibits personal VPN connections.