ICF Incorporated, LLC: Senior Software Engineer (Multiple Positions) Reston, VA.

ICF•Reston, VA

2d•Remote

About The Position

ICF Incorporated, LLC is seeking Senior Software Engineers to work on projects supporting the Centers for Medicare and Medicaid Services (CMS). These roles involve developing and supporting the collection of data and scoring results associated with clinicians. The engineers will use big data technologies to prepare data for scoring and analyze scoring results, ultimately allowing for the scoring of clinicians’ work according to CMS standards.

Requirements

Bachelor’s Degree or foreign equivalent degree in Computer Science, Information technology, Software Engineering or related technical field followed by 5 years of progressively responsible high-volume experience in software development OR Master’s Degree or foreign equivalent degree in Computer Science, Information technology, Software Engineering or related technical field and 3 years of high-volume experience with Scala, Spark, the Spark Engine, and the Spark Dataset API.
3 years in SQL development, SQL analytics, and tuning skills
2 years with AWS services as EMR, Redshift, Code build, Lamda, and ECS
2 years with Git, Github, and Confluence/Jira
Any prior experience working with Medicare and/or Medicaid data
Any Federal Government contracting work experience
Must be able to obtain Public Trust clearance.
Must have lived in the United States for 3 of the last 5 years
MUST RESIDE IN THE United States (U.S.) and the work MUST BE PERFORMED in the United States (U.S.).
Any suitable combination of education, training and/or experience will be accepted.

Responsibilities

Apply computer science, software engineering, databases, and distributed/parallel processing frameworks to prepare big data for the use of scoring and scoring results.
Work on projects that support the Centers for Medicare and Medicaid Services (CMS) as we develop and support the collection of data and scoring results associated with clinicians.
Use Spark to build data processing pipelines that derive information from large sets of government data that will ultimately allow for the scoring of clinicians’ work according to CMS standards.
Develop, modify, run, and test Spark applications using Scala APIs and Spark SQL to process and perform aggregation on data stored in Postgres, Redshift and S3 Parquet files.
Develop extract, transform, and load (ETL) processing routines and data engineering pipelines, creating necessary data structures and data models to support data at all stages.
Work with UI, UX, and quality analysis team members and the client to define data and reporting requirements.
Write unit and integration tests for all data processing code.
Work with DevOps engineers on CI, CD, and IaC.
Perform code reviews and develop processes for improving code quality.