Senior Data Engineer (Scala) remote

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 Engineer (Scala) 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 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 have experience with Scala and Spark and 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. You will use Spark, EMR and other AWS technologies to build data processing pipelines that derive information from large sets of government data. You will be the go-to on your team for Spark, the Spark Engine, and the Spark Dataframe API. This program allows for the continued quality of clinicians’ work according to CMS standards. We are a collaborative company, so we want you to use your knowledge of Spark to teach others, inform design decisions, and debug runtime problems.  

Tools & Technology 

• Spark, Hadoop, Scala, Python, and AWS EMR   

• Databricks  

• PostgreSQL  

• Jenkins 

• AWS Redshift  

• AWS Step Functions  

• AWS Lambda  

• Java  

• Git and Github  

• Confluence 

Key Responsibilities and Job Duties:

• Write complex unit and integration tests for all data processing code  

•  Work with DevOps engineers on CI, CD, and IaC  

•  Read specs and translate them into test designs and test automation  

•  Perform code reviews and develop processes for improving code quality 

Required Qualifications:

• Bachelor’s degree (degree in Computer Science or related field preferred) 

• 5+ years of high-volume experience with Scala, Spark, the Spark Engine, and the Spark Dataset API 

• 2+ years of experience with Agile methodology  

• 2+ years of experience performing data pipeline and data validation 

• Candidate must be able to obtain and maintain a Public Trust Clearance 

• 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 

Preferred Qualifications:

• MS and 3+ years of technical experience  

• Experience working in the healthcare industry with PHI/PII   

• Federal Government contracting work experience  

• Expertise working as part of a dynamic, interactive Agile team  

• Strong written and verbal communication skills 

• Prior experience working remotely full-time 

Job Location: Remote (USA). Travel for a conference or to another ICF location for collaboration may be once a year. 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. 

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