Senior Data Engineer at ICF
Working at ICF means applying a passion for meaningful work with intellectual rigor to help solve the leading issues of our day. Smart, compassionate, innovative, committed, ICF employees tackle unprecedented challenges to benefit people, businesses, and governments around the globe. We believe in collaboration, mutual respect, open communication, and opportunity for growth. We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status. 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 & AA policy.
This role can be completely remote, sitting anywhere within the US
We seek 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 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.
Our mission is to help the government improve healthcare for patients and reduce costs. We value bringing individuals that are experts in their disciplines, highly communicative, and self-motivated to own their work. Technology and domain experts work side-by-side in highly dynamic teams with all the roles necessary to deliver high-quality digital services. In addition, critical to our success is forming teams of highly diverse individuals passionate about making a difference.
Tools & Technology
- Spark, Hadoop, Scala, Python, and AWS EMR
- Airflow, Jenkins
- AWS Redshift and Teradata
- Git and Github
- Confluence
Key Responsibilities
- 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
Basic Qualifications
- Bachelor’s Degree
- 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
- Must live in the United States, have lived in the US for 3 of the last 5 years, and be able to obtain a Public Trust Clearance.
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
- Demonstrated time management skills.
- Strong organizational skills with attention to detail
- Curiosity about how things work, ability to look out for potential risks
Pay Range
The pay range for this position is: $85,153.00 - $144,760.00
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