Senior Data Engineer/Scala (Remote)
Nationwide Remote Office (US99)
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
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Able to obtain and maintain a Public Trust Clearance Must be able to obtain and maintain a public trust Must be able to obtain and maintain a Public Trust clearance
Benefits/PerksEqual opportunity employer Inclusive workplace Reasonable accommodations Remote
Tasks- Code reviews
- Collaborate with DevOps engineers
- Collaboration
- Communication
- Development
- Develop processes
- Integration
- Lead a Team
- Navigate change
- Perform code reviews
- Reporting
- Shape the future
- Write unit and integration tests
Access Agile Agile Methodology Analytics API Automation AWS AWS EMR AWS Lambda AWS Redshift AWS Step Functions Business Cloud Cloud-based infrastructure CMS Collaboration Communication Confluence Databricks Data processing Data Validation Design Development DevOps DevOps practices Education EMR Engineering Git GitHub Go Government Government contracting Hadoop IaC Integration IT Java Jenkins Maintenance Modern Technologies Policy PostgreSQL Public Trust Clearance Python Quality Reporting Redshift Reporting Scala Science Spark Teams Technical Technology Services Verbal communication
Experience7 years
EducationAnalytics Bachelor's degree in Computer Science or related field Business Communication Computer Science Computer Science or related field Education Engineering Environment Government IT MS Or related field Policy Related Field Science Software Engineering
Certifications TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9