Data Engineer Scala (USA/remote)

Data Engineer (Scala)

Please read the minimum qualifications before applying.

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 Data Engineer who will be a key driver to make this happen. The position is for the Analytics and Reporting portion of the Quality Payment Program for the Centers for Medicare and Medicaid (CMS).

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

Key responsibilities include:

• Document and communicate requirements for data engineers
• Write Scala code to support the work on the Analytics and Reporting Team.
• Utilize and write Python Scripts for ETL and Data Analysis.
• Perform Data Validation and utilize SQL for data queries.
• Improve Data Quality Checks
• Update and enhance Data Documentation
• Analyze large amounts of data to find inconsistencies using Zeppelin notebooks (Scala/Python)
• 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.

Job Duties:

• Consistently scripting and analyzing data.
• Consistent JIRA and Confluence use.
• Must attend Scrum Ceremonies and Test Meetings.
• 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.
• Working in an Agile environment.

Required Qualifications

• Bachelor’s degree (preferred in Computer Science, IT or a related field).
• 3+ years’ experience in software or data development.
• 3+ years of high-volume experience developing ETL pipelines and data validation with Scala, Spark, the Spark Engine, and the Spark Dataset API
• 2 or more years working in a data engineering role.
• 1+ years of high-volume experience working with SQL.
• 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

• 5 years' experience with a bachelor’s degree.
• Technical knowledge or working experience with Python
• 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).
• Advanced SQL querying skills and database management knowledge.
• Git/Github experience.
• Have worked in an agile environment.
• Experience working on a project using the Scaled Agile Framework.
• Have used Confluence and Jira.
• 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

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.

 

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.  

Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. 

 

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.  

However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.  

 

Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$73,722.00 - $125,327.00

Nationwide Remote Office (US99)