Excellent
Data Engineer
Excellent, Chantilly, Virginia, United States, 22021
Job Summary
As a Data Engineer,
you will support robust and repeatable data manipulation, large scale infrastructure for data ingestion, and stunning data visualization for custom client applications.Essential Functions:
Work collaboratively with data scientists, business consultants, and software engineers to create and deploy dynamic data applications that help our customers make meaningful business decisions.Develop and deploy robust data pipelines and end-to-end systems.Participate in every stage of the engineering lifecycle, from ideation and requirements gathering through implementation, testing, deployment, and maintenance.Provide leadership and coordination for certain stages of the engineering lifecycle as needed.Perform other technical tasks as needed, including writing project reports, managing, implementing, and/or maintaining technical infrastructure.Ability and willingness to tailor applications to a client’s business goals using an iterative methodology.Ability to consider both long-term stability and scalability while taking a user-focused approach to development and deployment.Communicate clearly both verbally and in writing to teammates and clients.Ability to work independently in a collaborative, dynamic, cross-functional environment.Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements.Requirements
Required SkillsBachelor's or Master’s degree in Computer Science or related field, and 5 years of experience.TS/SCI with Polygraph.Ability to work with high-level mathematical concepts and associated code-form representations.Experience with Python, Java, Scala, and familiarity with R O/S: UNIX, Linux, Solaris, ssh, git.Experience with data manipulation, SQL, relational databases, and/or NoSQL databases.Cloud: AWS, stack configuration and management.Focus areas: data manipulation, big data architecture, data structures, database administration, cloud platforms and SaaS, development operations (devops), data visualization and user experience.Benefits
Comprehensive benefits.
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As a Data Engineer,
you will support robust and repeatable data manipulation, large scale infrastructure for data ingestion, and stunning data visualization for custom client applications.Essential Functions:
Work collaboratively with data scientists, business consultants, and software engineers to create and deploy dynamic data applications that help our customers make meaningful business decisions.Develop and deploy robust data pipelines and end-to-end systems.Participate in every stage of the engineering lifecycle, from ideation and requirements gathering through implementation, testing, deployment, and maintenance.Provide leadership and coordination for certain stages of the engineering lifecycle as needed.Perform other technical tasks as needed, including writing project reports, managing, implementing, and/or maintaining technical infrastructure.Ability and willingness to tailor applications to a client’s business goals using an iterative methodology.Ability to consider both long-term stability and scalability while taking a user-focused approach to development and deployment.Communicate clearly both verbally and in writing to teammates and clients.Ability to work independently in a collaborative, dynamic, cross-functional environment.Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements.Requirements
Required SkillsBachelor's or Master’s degree in Computer Science or related field, and 5 years of experience.TS/SCI with Polygraph.Ability to work with high-level mathematical concepts and associated code-form representations.Experience with Python, Java, Scala, and familiarity with R O/S: UNIX, Linux, Solaris, ssh, git.Experience with data manipulation, SQL, relational databases, and/or NoSQL databases.Cloud: AWS, stack configuration and management.Focus areas: data manipulation, big data architecture, data structures, database administration, cloud platforms and SaaS, development operations (devops), data visualization and user experience.Benefits
Comprehensive benefits.
#J-18808-Ljbffr