Senior Data Validation Engineer - Remote

The Company 

ICF is a mission-driven company filled with people who care deeply about improving the lives of others and making the world a better place. Our core values include Embracing Difference; we seek candidates who are passionate about building a culture that encourages, embraces, and hires dimensions of difference.  

The Team  

Our Health Engineering Solutions (HES) team works side by side with customers to articulate a vision for success, and then make it happen. We know success doesn't happen by accident. It takes the right team of people, working together on the right solutions for the customer. We are looking for a seasoned Senior Data Validation Engineer who will be a key driver to make this happen.

Our team supports the development and maintenance of the Centers for Medicare & Medicaid Services’ (CMS) End-Stage Renal Disease Quality Reporting System (EQRS) application. These mission-critical systems, used daily by tens of thousands of healthcare providers nationwide, ensure patients receive the highest quality of care. Leveraging modern technologies, DevOps practices, and cloud-based infrastructure, our dynamic work environment involves multiple project teams collaborating toward a common vision of delivering an integrated solution. 

The Work  

We are looking for a talented Data Validation Engineer who is eager to apply computer science, software engineering, databases, and distributed/parallel processing frameworks to prepare big data for the use of data analysts and data scientists. If you want your work to contribute to systems that collect healthcare data used by hundreds of thousands of daily users, we want to (virtually) meet you!  

You will work on projects that support the Centers for Medicare and Medicaid Services (CMS) as we develop a next-generation analytics and reporting system that directly impacts healthcare quality. This program allows for the continued quality of clinicians’ work according to CMS standards. 

Key Responsibilities and Job Duties  

• Design and build data processing pipelines using tools and frameworks in the AWS ecosystem.  

• Analyze requirements and architecture specifications to create a detailed design document. 

• Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like AWS.  

• Work with huge data sets and work with other Data Engineers and/or Scientists on analyzing this data using algorithms and machine learning.  

• Implement and configure big data technologies as well as tune processes for performance at scale. 

• Design and build ETL pipelines to automate the ingestion of structured and unstructured data.  

• Work with DevOps engineers on CI, CD, and IaC (Continuous Integration, Continuous Delivery, and Infrastructure as Code) processes; read specifications and translate them into code and design documents; and perform code reviews and develop processes for improving code quality. 

• Proactively pay attention to the scalability, performance, and availability of our systems. 

• Deploy the developed solution in AWS environment and examine the results for accuracy.  

• Develop, modify, run and test Airflow DAGs and/or Spark/Scala Applications 

• Track testing results and reporting. 

Required Qualifications  

• Bachelor's degree with 5 years experience as a data engineer, software developer, or tech lead