Data Engineer

Description

Location:        Fairfax, VA

Clearance:      TS/SCI

Education:      Bachelor’s Degree in Applied Data Engineering, Data Architecture, Computer Science, Statistics, or Mathematics. Other disciplines, such as Data Analytics, Data Science and other technology related fields are acceptable, commensurate with the Data Engineering experience requirement.

Outcome:

The successful candidate is expected to accomplish the following outcomes in the first year on the position:

·         Develop and implement data engineering eco-systems and architectures that enable data Extraction, Transformation and Loading (ETL) operations for predictive and prescriptive data modeling.

·         Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.

·         Build networking connections and opportunities for data acquisition.

Description:

The Combatant Command Intelligence Enterprise Management Support Office (CCI EMSO) requires a Data Engineer, a strong Data Engineer who understands data storage, data processing, and network architecture, to implement methods to improve data reliability and quality.

The Data Engineer will collect, transfer, and store data for the Data Science team, Data Analysts and Enterprise Architects. They will design data pipelines and conduct Extract, Transform and Load (ETL) operations in support of organizational mission requirements.

The Data Engineer is primarily responsible for taking structured and unstructured data sets and engineering those data sets so that they can be be transferred to the Data Science team for hypothesis testing, statistical analysis and information visualization.

The Data Engineer will combine raw data from different data sources to create consistent and machine-readable formats that will be passed to the Data Science Team for Data Science Analysis and Studies, with a specific focus on creating and engineering data pipelines that can transfer the necessary Data Sets via Application Programming Interfaces (APIs), Resilient Distributed Datasets (RDD) and direct interface with the data source to the CCI EMSO data repository.

Responsibilities:

·         Develop, construct, and deploy data lake and ecosystems infrastructure that will include a DevSecOps and production environment.

·         Analyze and organize raw data for Data Science analysis.

·         Build Data Systems and data transfer pipelines to ensure the CCI EMSO Data Science Team has the requisite data to answer Combatant Command, ISREC and ISPR Data Science Requests for Information (RFI).

·         Prepare data for prescriptive and predictive modeling.

·         Identify networking connections and opportunities for data acquisition.

·         Work with stakeholders including data, design, product, and executive teams and assist them with data-related technical issues.

·         Identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.

Required:

·         A minimum of five years of Data Engineering experience (programming, processing data, and designing network frameworks and architecture)

·         Demonstrated ability to use statistical software programs (e.g., R, Python, Weka, Apache Spark, and SQL).

·         Experience working with Data Scientists and Data Analysts.

·         Ability to build and optimize data sets, ‘big data’ data pipelines and architectures.

·         Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.

·         Excellent analytic skills associated with working on unstructured datasets.

·         Experience in supporting technical, managerial, or operational fields and disciplines and experience interfacing with external stakeholders and senior government personnel.

·         Strong organizational, oral, and written communication skills are required.

·         Strong people skills and the ability to build consensus, work effectively and independently, and demonstrate a consultancy mindset towards customer engagement.

Desired

·         Advanced degree in the discipline is a plus (MS, PhD).

·         Department of Defense (DOD) experience and familiarity with Pentagon engagements and the briefing of DoD stakeholders.

·         Ability to work as part of a cross functional team (CFT) and in a cross matrixed organization.

·         Have a working knowledge and experience in working in an Organizational Program Maturity business model, with the ability to move between Agile and standard Defense Acquisition University (DAU) and Project Management Institute (PMI) Program Management processes and methodologies.

·         Ability to effectively communicate complex, multi-disciplinary ideas, and insights to a lay audience.

Travel:  Some travel may be required

Other Requirements:

Are you a returning applicant?